DTIC · phrase complementation, relative clause formation, two types of question construction,...

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\ ( AFCRL-66-270 ' SPECIFICATION AND UTILIZATION OF A TRANSFORMATIONAL GRAMMAR D. Lieberman INTERNATIONAL BUSINESS MACHINES CORPORATION Thomas J. Watson Research Center Post Office Box 218 Yorktown Heights, New York 10598 Contract No. AF19(628)-5t27 Project 4641 Task 464102 SCIENTIFIC REPORT NO. 1 Date of Report March 1966 CLEARINGHOUSE Jf()Jt l'EDBRAL SCIENTIFIC AND TECHNICAL INFORMA'TION --a-r--~~oon Mioroti1he Prepared for AIR FORCE CAMBRIDGE RESEARCH LABORATORIES OFFICE OF AEROSPACE RESEARCH UNITED STATES AIR FORCE BEDFORD, MASSACHUSETTS .... - .. .

Transcript of DTIC · phrase complementation, relative clause formation, two types of question construction,...

Page 1: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

\ (

AFCRL-66-270

'

SPECIFICATION AND UTILIZATION

OF A TRANSFORMATIONAL GRAMMAR

D. Lieberman

INTERNATIONAL BUSINESS MACHINES CORPORATION Thomas J. Watson Research Center

Post Office Box 218 Yorktown Heights, New York 10598

Contract No. AF19(628)-5t27

Project 4641

Task 464102

SCIENTIFIC REPORT NO. 1

Date of Report March 1966

CLEARINGHOUSE Jf()Jt l'EDBRAL SCIENTIFIC AND

TECHNICAL INFORMA'TION --a-r--~~oon Mioroti1he

Prepared for

AIR FORCE CAMBRIDGE RESEARCH LABORATORIES OFFICE OF AEROSPACE RESEARCH

UNITED STATES AIR FORCE BEDFORD, MASSACHUSETTS

.... - .. .

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AFCRL-66-270 t

SPECIFICATION AND UTILIZATION

OF A TRANSFORMATIONAL GRAMMAR

D. Lieberman

INTERNATIONAL BUSINESS MACHINES CORPORATION Thomas J. Watson Res;earch Center

Post Office Box 218 Yorktown Heights, New York 10598

Contract No. AF19(628)-5127

Project 4641.

Task 464102

SCIENTIFIC REPORT NO. 1

Date of Report March 1966

Distribution of this document is unlimited.

Prepared for

AIR FORCE CAMBRIDGE RESEARCH LABORATORIES OFFICE OF AEROSPACE RESEARCH

UNITED STA TES AIR FORCE BEDFORD, MASSACHUSETTS •

-

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Preface

The objective of this project titled "Specification and

Utilization of a Transformational Grammar" is the investi­

gation of the applicability of transformational theory as a

theoretical support for linguistic aspects of language data

processing. As the first step in our research program,

we are developing a transformational grammar of English,

including a large lexicon, and computer programs to aid

in the grammatical and lexicographic work. Our approach

and achievements thus far are presented herein in four

parts:

Part I, "The IBM Core Grammar of English"

by P. Rosenbaum and D. Lochak

Part II, "Design of a Grammar Tester"

by D. Lieberman

Part III, "Programming of the Grammar Tester"

by F. Blair

Part IV, "Computer Support for Lexicon Development and Use"

by D. Lieberman and D. Lochak

Professors E. Klima and G. H. Matthews served as

consultants to the project.

D. Lieberman Principal Investigator

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Abstract

Scientific Report No. 1 contains four parts:

Part I - The IBM Core Grammar of English. Our current

grammar of English is presented in full, and numerous

derivations are carried out in detail to illustrate the

current generative power of the grammar.

Part II - Design of!. Grammar Tester. The design considera­

tions on which the present version of the tester was based

are discussed, and a set of tentative input, output, and

control formats are presented.

Part III - Programming for the Grammar Tester. A LISP

implementation of the grammar tester is presented, The

overall flow of control and the various special functions

are described.

Part IV - Computer Support for Lexicon Development. A

program package (programmed in SNOBOL) to facilitate

the compilation, modification, scanning, etc. of the

lexicon is described,

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PART I

"THE IBM CORE GRAMMAR OF ENGLISH"

P. Rosenbaum

D. Lochak

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1.0

2. 0

3. 0

4.0

Table of Contents

Introduction

The Phrase Structure Component

2. 1 Rewriting Rules

2. 2 The Lexicon

The Transformational Component

3. 1 Introduction

3. 2 Transformational Rules

Derivations on the Core Grammar (CG)

4. 1 Conventions

4.2 Sentence Types

4. 3 Derivations

5. 0 Notes

Page

1

1

1

9

17

17

33

52

52

53

56

...

i

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Abstract

THE IBM CORE GRAMMAR OF ENGLISH

by

Peter S. Rosenbaum and Dori ta Lochak

International Business Machines Corporation Thomas J. Watson Research Center

Yorktown Heights, New York

A transformational grammar is presented which characterizes

sentence types exemplifying noun phrase complementation, verb

phrase complementation, relative clause formation, two types of

question construction, indirect object and prepositional phrase con­

structions, passive constructions, aspectual constructions, and

certain types of negation phenomena.

The presentation consists of 1) a theoretical introduction ex­

plaining the version of transformational theory from which the IBM

Core Grammar of English h , c,lnstructed, Z) a presentation of the

Core Grammar, and 3) a set of sixty-six derivations constructed

in terms of the Core Grammar.

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. .,..

l

1.. 0 Introduction

The linguistic description discussed in this section, the

IBM Core Grammar of English (henceforth referred to as the

CG), conforms, in its essentials, to recent theoretical propos­

als.1 The version of the transformation theory of syntactic

descriptions underlying the CG provides two basic components,

a phrase structure component and a transformational compo­

nent. The former treats the generation of underlying consti­

tuent structures and the introduction of lexical material into

these structures. The latter deals with the transformation of

these underlying structures into derived constituent structures.

z. 0 The Phrase Structure Component

Z. 1. Rewriting Rules

The phrase structure component of the CG contains an un­

ordered set of rewriting rules of the general form A---->~.

where A is a single nonnull symbol and ~ is a nonnull string of

symbols which is distinct from and does not contain A. A con­

siderably oversimplified set of phrase structure rewriting

rules might be the following:

(1.) Sentence ----> Noun Phrase+ Verb Phrase

Verb Phrase - - - -> Verb+ Noun Phrase

Noun Phrase ----> Determiner+ Noun

Subrules, i. e. , alternative expansions of the same symbol, are

required to be abbreviated either by braces or by parentheses.

For example, the rule given in (Z) is an abbreviation for rules

( 3a) and ( 3b). If the rule (2.) is required to apply, then the

symbol tense must be expanded either as Present or as Past.

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(2) Tense-----> {

Present} Past

(3) a. Tense ----> Present

b. Tense ----> Past

Similarly, rule (4) is an abbreviation for the subrules (Sa) and

( Sb).

(4) Noun Phrase ---->(Determiner)+ Noun

(5) a. Noun Phrase ---->Determiner+ Noun

b. Noun Phrase - - - -> Noun

The sequential application of the rewriting rules, starting

with an initial symbol, S, and continuing with each successive

line formed by the application of one rule to one symbol in a

string, results in the generation of a derivation. Symbols ap­

pearing on the right side of a rewriting rule are either termi­

nal or non-terminal. Symbols appearing on the left side of a

rewriting rule are only non-terminal. Glossaries of non­

terminal and terminal symbols are provided in (6) and (7),

respectively.

(6) s Sentence

PRE Pre sentence

NP Noun Phrase

AUX Auxiliary

VP Verb Phrase

pp Prepositional Phrase

MAN Agen'tive Phrase

DET Determiner

ART Article

T Tense

2

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(7) NEG

Q

PRES

PAST

M

have

en

be

ing

V

PREP

N

ADJ

DEF

INDEF

WH p

*

Negative

Question

Present

Past

Modal

Have

En

Be

Ing

Aspe ctual morphemes

Verb

Preposition

Noun

Adjective

Definite

Indefinite

WH

Passive

Sentence Boundary

The derivation of an underlying constitutent structure through

the application of the rewriting rules is terminated when the

derivation contains no unexpanded non-terminal symbols, i. e. ,

no generated non-terminal symbols remain to be expanded.

Particular derivations are identified by means of a

uniquely associated labelled bracketing or tree diagram refer­

red to as a P-marker. These alternative notations are illus­

trated for the rules in (1) as follows:

3

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(8)

a. [[D

ete

rmin

er

No

un

]N

Ph

[V

erb

[Dete

rmin

er

No

un

]No

un

Ph

rase

]Verb

Ph

rase

]Sen

ten

ce

ou

n

rase

b.

Dete

rrn

iner

~

Det

ern

11

ner

N

ou

n

~

~

~ .....

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r?'

With respect to a P-marker, a substring of symbols which is

uniquely traceable back to some node la belled X in a P-marker

has the analysis X (is ~ X). For example, in (8) the sub­

string Verb+ Noun Phrase is a Verb Phrase. If A is a sym­

bol in a string '3 which is itself an X, then A is dominated by

X. Finally, X immediately dominates a symbol B if X domi-

B and if X dominates no symbol C such that C dominates B.

(9)

The rewriting rules of the Core Grammar are as follows:

S ----> # (PRE) NP AUX VP

PRE - ---> (NEG) (0)

AUX----> T (M)

T ----> {:!::} VP----> (have en)(be ing)

*

PP----> PREP NP be (ADJ)

MAN----> PREP p

NP----> (DET) N (S)

DET - ---> ART (S)

ART ----> (WH) {DEF } INDEF

Although the physical dimensions of the CG' s rewriting

rules are small, the system is extremely powerful. This

power stems from the fact that the initial symbol, S, is re­

cursive under the VP (Verb Phrase), under NP (Noun Phrase),

and under DET (Determiner). The expansion of VP and NP is

of particular interest. Two possible expansions of VP are

given in (10) and (11). These expansions characterize intran­

sitive Verb Phrase complementation and transitive Verb

5

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,,

.... ,

Phrase complementation, respectively. In their fully derived

form, these expansions correspond to the sentence comple­

ment constructions in ( 1 Z) and ( 1 3).

{10) VP----> V + S

{11) VP----> V+ NP+ S

(1Z) John condescended to f!!I. ball with Sam

( 1 3) John tempted Bill !£ E.!!I, ball with Sam

Similarly, two distinct types of sentence complementation are

derived through the expansions of NP given in (14) and (15).

(14) NP----> DET + N + 5

(15) NP----> N + S

The expansion (14) might yield sentences like those in (16),

depending upon the distribution of NP in the underlying

structure.

(16) a. the fact that John came late bothers me

b. Bill pondered the fact that John came late

c. Harry worried about the fact that John came late

The expansion (15) is more interesting. When NP is domi­

nated immediately by S, in one possible derivation, sentences

of the type exemplified by (17) and {18) may result.

( 17) it appears that John i!, honest

(18) · John appears to be honest

When NP is dominated immediately by PP, sentences like (19)

and (ZO) can result.

(19) I reminded John of Bill's hav·ing !.!.!!_

(ZO) I reminded John that Bill left

.,

6

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' ,

When NP is dominated immediately by VP, sentences like (21)

and (22) may be generated.

(21) I believe that John is honest

(22) I believe John to be honest

The system of rewriting rules characterizes yet another

instance of S recursion, namely, the expansion of DET into

ART + S, which provides for the generat·:lon of relative clause

structures, some examples of which are given in (2 3).

(23) a. the boy who~~ smiled

b. the boy! ~ smiled

c. whatever you do bothers me

d. whichever article i.s selected will disintegrate

Beyond these important complex sentence constructions, the

system provides for several of the syntactic functions which

are usually seen to be fairly central to any adequate linguistic

description. These include two types of questions, "yes-no"

questions and NP questions as exemplified by the sentences in

(24), indirect object and prepositional phrase constructions,

passive sentences, sentences with aspectual properties, and

negation constructions.

(24) a. did John leave

b. which tall boy did you see

The system of rewriting rules in the CG suffers from

three fundamental gaps. First, the rules do not characterize

anything approaching a complete Determiner system. Second,

no Adverbial constructions of any kind are generated. Third,

there is no provision for the description of the processes of

conjunction and subordination. At present, we are experimenting

7

. ~

'1

~• I

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...,

with several schemes for the description of the Determiner

system. The results of these studies will most probably be

included in an updated version of the CG to appear in approxi­

mately eight months. The same is true for the Adverbial

system. We have given little attention to the problems of con­

junction since theory is not sufficiently advanced to dictate the

nature of the device which will offer an explanation of the com­

plex array of facts comprising conjunction phenomena. Hope­

fully, theoretical insights with regard to conjunction will be

forthcoming and research in the description of this process can

be more profitably pursued.

The system of rewriting rules contains several question­

able forrnulationa. For one, it is becomin ,.., increasingly clear

that the aspectual and auxiliary systems p.1. csented in the CG

must be modified. We are, at present, considering the possi­

bility of treating the aspectuals (have en) (be ing) as features

of a predicate constituent VB, (Verbal), which will range over

both Verba and Adjectives, thereby eliminating the aspectuals

as phrase structure constituents of the underlying structure.

We have illso been studying questions of greater theoretical

import. First, we are interested in determining whether

Modale (M) are moat properly to be analyzed as Verbals and

whether Tense (T) is to be considered a syntactic feature of

Verbals. Such an analysis would eliminate AUX from the

gramrnar. Sirnilar considerations concerning the Negative

marker (NEG), and the question marker (Q) are being studied.

Second, the rewriting rules of the CG treat Present and Past,

and DEF and INDEF, as actual constituents of T and ART,

respectively. There are many reasons to believe that Present

8

)

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,..

9

and Past are not constituents of the non-terminal symbol T,

but rather are syntactic features of a terminal symbol T. The

same arguments which apply in this case (and which we do not

discuss at present) hold for DEF and INDEF. Third, the de­

scription makes no clear-cut distinction between terminal sym­

bols which are morphemes and terminal symbols which become

the bearer of a complex symbol, i.e., a pair consisting of a

stem morpheme given in terms of a distinctive feature matrix

on the one hand and a vector of syntactic features determining

the idiosyncratic properties of given morphemes. Much cur­

rent research is devoted to theoretical questions of this sort.

For the practically inclined, it is germane to point out

that the sentence types which the system will produce (invari­

ably with less than ideal theoretical motivation) are numerous

and of considerable diversity. It is our current research goal

to increase the number of sentence types that the grammar can

handle and to enlarge its scope in a manner consistent with

theoretical developments.

2. 2 The Lexicon

The lexicon of the CG consists of a list of lexical entries.

Each entry consists of {1) a phonological distinctive feature ma­

trix defining the underlying phonological properties of a given

morpheme and (2) a syntactic feature vector (a comple.x: symbol).

It is the latter which is of central interest to us at present. (In

the CG, phonological distinctive feature matrices are abbrevi­

ated by the normal spelling of the morpheme in question. ) A

syntactic feature specifies that a given morpheme either has or

does not have a specific syntactic property. Thus, the fea­

tures of the CG are marked either "+" (for possession) or

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"-" (for non-possession of the particular property). This

form of specification is known to be inadequate with respect to

several syntactic phenomena, and it appears that the binary

values of a feature are subject to a feature of markedness

which determines the applicability of a particular binary syn­

tactic feature. 2 Such considerations are omitted, however,

from the CG and will be discussed in the updated version to

appear several months hence. From the point of view of the

CG, complex symbols are fully specified, either positively or

negatively, for all syntactic features.

The CG employs four distinct types of syntactic features.

The first characterizes syntactic categorization, that is, the

category of the terminal symbol to which a particular complex

symbol is assigned. For example, a noun like pencil carries

the syntactic feature ( +N) which states the condition for a

grammatical introduction of the complex symbol representing

pencil into the phrase structure. The verb slay carries the

feature (+V) , the modal must carries the feature (+M); and

the adjective awful carries the feature (+ADJ) . The syntactic

feature vector is governed by the convention that any syntactic

feature which is not marked positively is necessarily marked

negatively. Thus, the full feature specification of the verb

slay contains the features {+ V ). (-N ). (-M) , (-ADJ) .

The second type of syntactic feature characterizes the

strict subcategorization of a given morpheme. Strict subcate­

gorizational features render notions like transitive-intransitive.

For example, the verb~ ca:rries the feature (+ __ NP); the

verb elapse carries the feature (+ __ ). The first feature

mentioned above asserts that hit has a privilege of occurrence

10

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,

11

immediately before a Noun Phrase. The verb hit is marked

( - ) by convention. What insures that the NP specified in --the feature is in fact the NP dominated by VP in the constituent

structure is the principle of strict local subcategorization, 3

which asserts that the frames dominated by the constituent

which inirnediately dominates a complex symbol determine the

strict subcategorizational properties of the complex symbol.

For example, the strict subcategorization of verbs and adjec­

tives is determined by those constituents dominated by VP.

The strict subcategorizati,on of nouns is determined by those

constituents dominated by NP. The feature ( + NP) is in---terpreted to refer only to the NP which is immediately domi-

nated by VP in the event that the complex symbol containing

this feature also contains the feature ( + V). For verbs, the

feature ( + ) means that VP may dominate no constituent --other than V.

The third type of syntactic feature renders the notion of

inherent feature specification. The characteristics of inherent

features are not well understood at present and it is difficult to

justify particular classifications. At present, the inherent

features of the CG treat several distinct syntactic properties.

First, the number of nouns is characterized in terms of the

feature ( +Sg) ( -Sg) where the former is interpreted as singu­

lar and the latter as plural. Second, nouns are classified

either as human, ( +human), or as ~-human (-human),

and so on for other features such as animateness and concrete­

ness. (Lexical redundancy rules will eliminate lexical redun­

dancy by predicting, for example, that any lexical item

marked with the feature ( +human) is automatically marked

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...

"

(+animate). ) In the CG the feature (aSg) (where a is a vari­

able ranging over + and -) determines nwnber agreement on

verbal elements. The feature '2human) determines, in ad­

dition to verbal selection, certain morphological aspects of

relative pror.oun formation and pronominalization in general.

The fourth type of syntactic feature specifies the selec­

tional subcategorization of a lexical item. Where strict sub­

categorizational features specify co-occurrence properties

with respect to grammatical frames, selectional subcategori­

zational features specify co-occurrence properties with re­

spect to the inherent feature makeup of complex symbols in­

troduced into grammatical frames. For example, the verb

condescend requires a subject noun carrying the feature

(+human) since sentences like the boy condescended~ fall

off the table are grammatical whereas others like the book

condescended to fall off the table are not. The verb conde­

scend must carry the selectional subcategorizati.on feature

( +X ( +human ) AUX __ Y). This feature has the following

interpretation: The verb condescend has the privilege of oc­

currence in a P-rnarker which meets the following conditions:

The string of terminal symbolB (either dominating or not domi­

nating .complex symbols) must be segmentable into five con­

secutive substrings, of which the first is anything at all, the

second is some terminal constituent dominating a complex

symbol carrying the syntactic feature (+human), the third.!!_

!!! AUX, the fourth is a V, and the fifth is anything at all.

Si.nee the variables X and Y may be supplied by convention, the

feature can be stated as (+ (+human) AUX __ ). (In effect,

a selectional 1ubcategorization feature specifies the domain of

12.

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,.

a rule with transformational power.) For present purposes,

the system of selectional subcategorization should be viewed

as a classificational scheme, but one without much theoretical

support.

At present, the lexicon completely neglects an account of

the restrictions which lexical items idiosyncratically impose

upon the application of transformational rules. Consider, as

an example of this phenomenon, the fact that for is optionally

deleted in (Z5 ), but obligatorily deleted in (Z6) , at least in the

dialect which the CG is intended to characterize.

(25) a. I would prefer for you to say something

b. I would prefer you to say something

(26) a. *I want for you to say something

b. I want you to say something

The fact that an account of these phenomena has not been in­

corporated into the CG has an important consequence: namely,

that it is currently impossible to construct a transformation

whose application is determined by an idiosyncratic property

of a lexical item. Thus, there is good reason to assign high

priority to work in this area and we are, at present, adapting

certain aspects of solutions proposed in recent months to the

CG. 4

The version of syntactic theory underlying the CG does not

allow the generation of syntactic features in the phrase struc­

ture component, although such power is probably required in a

fully adequate grammar. Complex symbols are introduced into

the phrase structure by means of a lexical embedding rule of

the form A ----> CS where A is an N, V, ADJ, or Mand CS

13

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...,

is a complex symbol in the lexicon. This rule, applying after

the termination of the rewriting rules, is legal in a particular

instance just in case

(i) the complex symbol CS introduced under the domina­

tion of some terminal symbol D contains some syntactic fea­

ture (+F) such that F = D and,

(ii) the P-marker in which the CS is introduced falls un­

der the domain specified by any one strict subcategorizational

feature and by any one selectional subcategorization feature

positively marked in the CS. (For a CS specified negatively

for all strict subcategorizational and selectional subcategori­

zation features, i.e., a CS carrying the feature (+M) , con­

dition (ii) does not hold.)

By way of illustration, consider the introduction of the

noun teapot into a P-marker having the sub-tree given in (27).

(27)

The noun teapot carries the features (+N), (+DET __ ),

(-DET __ S ), (-_S), (-__ ), among others. The in­

troduction of this noun through the application of the lexical

embedding rule produces the structure given in (28).

(2.8) NP

(teapot) (+N)

(+DET --(-DET ___ s (-_S) (-_)

14

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This introduction is legal with respect to condition (i), since

the complex symbol contains the feature [+N] and has been in­

troduced under the domination of N. But the introduction is

illegal with respect to condition (ii). The complex symbol for

teapot is specified for the strict subcategorizational feature

( +DET ). A P-marker falling under the domain of this --feature is one in which NP dominates only DET, aside from

the N itself. The P-marker given in (29) falls under this

domain.

(29) NP

D~

15

Since NP dominates Sin (27), however, this P-marker does

not fall under the domain of the one strict subcategorizational

feature positively specified for the noun teapot. Thus, this

particular application of the lexical introduction rule is illegal

and the derivation is consequently blocked. The derivation of

an underlying P-marker is terminated when the lexical intro­

duction rule has applied legally to all instances of the terminal

symbols N, V, ADJ, M, which have been generated through

the application of the rewriting rules. The structure thus pro­

duced serves as the input to the transformational component.

The nat.ure of the procedure for introducing prepositions

into the underlying structure has not yet been determined. For

purposes of mechanical recognition, prepositions can be

thought of as being introduced by rewriting rules. An appara­

tus for preposition introduction will be presented in the up­

dated version of the CG.

The CG contains a lexicon of approximately seven thousand

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words drawn from the Thorndike-Lorge list on the basis of an

occurrence frequency of ten or more per million. The feature

classlfication of these words is still minimal, since it includes

only the following:

Syntactic Category

(+N) boy

(+V). slay

(+ADJ) honest

(+M) must

Strict Subcatego!_!zation

Verbs (+V)

(+ NP S) tempt

(+ NP) disappoint

(+ PP) approve

(+ S) condescend

(+ ) elapse

Nouns (+N)

(+DET S) fact

(+DET ) teapot

(+ S) it

(+ ) John

Inherent Subcatesorization

Nouns (+N)

(+human) boy

(+animate) mongoose

(+abstract) blame

(-animate) table

(-abstract)

16

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Selectional Subcategorization

Verbs (+V)

(+ (+ s))

(+ (+ S) S AUX )

(+ (DET) (+human) PREP

Adjectives (+ADJ)

(+ (+ S) S AUX )

(+ S))

suppose

both~r

remind

obvious

This list of classifications should not be construed as a com­

pleted lexicon, for it will be immediately clear that the clas -

sifications are much too incomplete to allow the free genera­

tion of strings which are free from strict subcategorizational

and selectional violations. The lexicon has been constructed

with two goals in mind; first, to study the theoretical problems

arising in the description of lexical phenomena within the

framework of a transformational grammar, and second, to

develop an experimental lexicon for the purpose of testing a

variety of computational procedures.

3. 0 The Trans£ ormational Component

3. t Introduction

The transformational component of the CG contains rules

which transform underlying P-markers into derived P-markers.

The domain of a particular transformational rule is provided

in terms of conditions on P-markers. Any P-marker or set

of P-markers meeting the conditions imposed by a particular

transformational rule falls under the domain of that rule. By

way clarification, consider the following hypothetical trans -

formational rule.

( 30) B+C

t t

D

2

• X

3==== > 3

17

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The numbered sequence of elements comprising the first

two lines of the above rule (referred to as a structure index)

defines the set of P-markers which may undergo the transfor­

mational alteration stated in the third line of the rule. The

structure index can be interpreted as asserting that any ter­

minal st ing (last line of a P-marker) falls under the domain

of the tr;:..nsformation ( 30) just in case it can be completely

segmented into three consecutive substrings such that the

first substring is ! (member of the constituent or category

sequence) B + C, the second is a D, and the third is anything

at all. The diagram ( 31) contains a P-marker which falls

under the domain of the transformation ( 30).

( 31)

N

A E F

The terminal string of (31), i.e., E - F - C - G - H - M - N,

can be segmented in such a way that the conditions stipulated

by the structure index are met. The diagram ( 32) contains a

P-marker which does not fall under the domain of the trans­

formation ( 30).

( 32)

N

It is clear that transformational rules stated in the above

fashion have the power of variable reference, since each

structure index characterizes a variety of P-markers. For

example, the transformation ( 30) would be defined on the

18

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. ,

P-marker ( 31.) regardless of the constituency dominated by B.

If the phrase structure component from which this P-marker

was constructed contains the rule B- - - -> E + L + S, then an

infinite number of P-markers are provided, all of which will

fall under the domain of the transforma ::ion ( 30).

Transformation rules often involve two additional types

of restrictions on P-markers. The first is the restriction of

dominance where some subtree must either have a certain

analysis or must dominate some particular subtree. This in­

formation is normally stated in the transformational rule

itself by means of a labelled bracketing. Consider, by way of

illustration, the following hypothetical rule:

(33)

i

i

2.

0

3

3

E

4====>

4

This transformation is defined on a terminal string just in

case the P-marker associated with this string can be seg­

mented into substrings such that the first is an A, the second

is a B, the third is a C, the fourth is an E, and, furthermore,

the second followed by the third comprises a D, as in the P­

marker given in ( 34).

( 34)

The transformation (35) is defined on a terminal string just in

case

19 .

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( 35) A

1

1

2

0

E

3====>

3

the P-marker associated with this string can be segmented

into substrings such that the first is an A, the second is a D

which dominates a B followed by a C, and the third is an E,

as in (34) also.

The second type of restriction is the condition of identity

where a subtree must be identical or not identical to some

other subtree.5 Such a restriction is not stated in the structure

index or in the line which specifies the structure change, but

as a condition on the rule, as in ( 36).

( 36) A B C A

1 2. 3 4====>

1 2. 0 4

Condition: 1 ~ 4

Thia rule is defined on a terminal string just in case the P­

marker associated with this string can be segmented into four

consecutive substrings, of which the first is an A, the second

is a B, the third is a C, and the fourth is an A, but where the

subtree A associated with the index 1 is not identical to the

subtree A associated with the index 4. For example, this

rule is defined on the P-marker in ( 37), but not on the P­

marker in ( 38).

(37)

.. '

20

I

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,

(38)

Transformational rules are sensitive to the syntactic fea­

ture composition of complex symbols including feature coeffi­

cients. In other words, a transformational rule may be de­

fined just in case the syntac:tic feature vector associated with

a complex symbol introducf;d into a P-marker meets certain

internal conditions. Consider, for example, the hypothetical

rule given in ( 39).

( 39) A

1.

1.

C

3====>

3

A terminal string falls under the domain of the above rule just

in case it can be segmented into three consecutive substrings

of which the first is an A, the second is a terminal symbol B

which dominates a complex symbol in whose syntactic feature

vector the feature (D). is marked positively, and the third is

a C. Thus, the P-marker in (40) falls under the domain of

this transformation whereas the P-marker in ( 41) does not.

(40)

A E F word

(+D) (+L) (-M)

21.

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(41)

word (-D) (+L) (-M)

The transformational rule given in (42) requires a special in­

terpretation since (+C) is not a constituent but a feature in a

vector.

(42) A

1

1

(+C)

2

2

B

3=== =- >

A P-marker falls under the domain of the above transforma­

tion just in case the terminal string can be segmented into

three consecutive substrings of which the first is an A, the

second is a complex symbol marked positively for the feature

C, and the third is a B, as in the P-marker given in (43).

(43)

I [

word] (+C)

A transformational rule contains a finite sequence of

formal operations called elementary transformations. An

elementary transformation operates on the ~ term• of a struc­

ture index and determines the alterations to be made in the P­

mar ker s which fall under the domain of the transformation.

The elementary transformations employed in the CG are sub­

stitution, deletion, sister adjunction, and daughter adjunction.

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(There is reason to believe that daughter adjunction is theore­

tically unmotivated. It is likely that this elementary transfor­

mation will not appear in the updated version of the CG. )

Under the substitution elementary transformation, one

subtree is substituted for another subtree. Consider, for

example, the hypothetical rule given in (44).

(44) A

1

3

B

2

2

C

3====>

0 In this rule a subtree having the analysis C is substituted for a

subtree having the· analysis A in a P-marker which falls under

the domain of the transformation. This transformation will,

for instance, convert the P-marker in (45) into the P-marker

in (46 ).

(45)

DJ\ (46)

A 1 F G

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i . ....

The deletion elementary transformation involves the de­

letion of a subtree. An example of such a rule is given in (53).

This rule converts the P-marker in (54) into the P-marker

in (5 5 ).

(53) A B C

1 2 3====>

1 2 0

(54) s

A B

(55)

In the event that some constituent X is the sole daughter of

some constituent Y and the deletion X is defined, then Y as

well is deleted. Thus, the rule (53) converts the P-marker

(56) into the P-marker (57).

(56) s

(57) s

A 7 B

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The elementary transformation of sister adjunction in­

volves the introduction of some subtree under the immediate

domination of some constituent which has at least one daughter.

For example, the rule in (58) converts the P-marker (59) into

the P-marker (60).

(58) A B C

1 2 3====>

1 + 3 2 0

(59) s

A (60) s

D~ A In contradistinction to the substitution transformation, if a

constituent X is the sole daughter of a constituent Y, then a

transformation which defines the sister adjunction of Z to X

does ~ adjoin Z to Y. The transformation (58) operating on

the P-marker (61) yields the P-marker (62) and not the P­

marker (63).

(61) S

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i I

_, ,

(6Z)

(63)

s

s ----;::;;1

D C B

I A

However, if a constituent X, which is to be adjoined as a sis -

ter of Y, is the sole daughter of a constituent Z, then Z is ad­

joined to Y. Thus, the transformation (58) operating on the

P-marker (64) yields the P-marker (65) and not the P-marker

(66).

(64)

(65)

(66)

s

A---------~1 I

C

s -------;:::::-:1 A C B

I C

The elementary transformation of daughter adjunction in­

volves the introduction of some subtree under the immediate

domination of some constituent which dominates no other con­

stituent. For example, the transformation (67) operates on

the P-marker in (68) and produces the P-marker in (69).

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(67)

(68)

(69)

A

1

1 < 3

B

2

2

C

3 ====>

0

(where "<" is interpreted as immediately dominates)

s

s

~ I

~E

If a constituent X, which is to be adjoined as a daughter to

some constituent Y which dominates no other constituents, is

the sole daughter of some constituent Z, then Z is adjoined

as a daughter to Y.

Transformational rules may introduce morphemes into a

P-marker. For instance, the transformation in (70) converts

the P-marker in (71) into the P-marker in (72).

(70)

(71)

A

1

1

B

2.

2. + m

C

3====>

3

s

,._

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(7Z) s

The transformational component of the CG contains an

ordered set of cyclic and post-cyclic transformational rules.

The cyclic rules apply to a lowest sentence. A lowest sen­

tence is an S which dominates the sequence # - X - #, w.1~re

# is a sentence boundary and X is a variable which does not

contain #. In the diagram (7 3), S 3

meets the conditions of

a lowest S.

(7 3)

E/\,3 #

The cyclical transformational rules apply in sequence to

lowest S's. Consider, for instance, the following set of cyclic

rules in which the symbol Xis a variable ranging over any

structure at all.

(7 4) a. * 1

1

A

2

• X

3

3

#

4====>

4

- ·--·--·------ -

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b. * 1

0

X

2

2

3====>

0

Applying cyclically, the rules in (74) operate on s3

in the P­

marker given in (7 3) producing, sequentially, the P-markers

(75) and (76 ).

(75)

(76)

As the result of the application of the rules in (74), s2

now

meets the conditions of a lowest 5 and the cyclic rules apply

again yielding the P-markers (77) and (78).

29

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(77)

(78)

After this cycle Sf now meets the conditions of the lowest S

and the cyclic rules apply once again yielding (79) and (80).

(79)

- -~ ~ ·- · - - --~---

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(80)

This application of the rules leaves a P-marker in which no S

qualifies as a lowest S. Hence, the transformational cycle is

terminated.

The P-marker produced by the rules of the transforma­

tional cycle is the input to the post-cyclic transformational

rules. A possible rule might be that in (81 ), which deletes

every instance of C in (80), thus generating the derived P­

marker (8Z).

(81) X C y

1 z 3====>

1 ,, 3

(8Z) Si

z I

I

._ _. -- . -

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The post-cyclic rules are ordered. The derivation is termi­

nated after the applicability of the last post-cyclic rule has

been tested. The transformations, cyclic and post-cyclic, in

the CG are as follows:

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33

3. Z Transformational Rules 6

I. CYCLIC RULES

1. CP 1 Complementizer Placement 1 7

T

# X [ ( a C) ]N NP+ be y have V

1 2 3 4 5 6====>

1 2 3 aC + 4 5 6

2. CP 2 Complementizer Placement 2 OB

T

# X [(+C)]V (NP) NP+ be y # have V

1 2 3 4 5 6 7====>

1 2 3 4 +C + 5 6 7

3. CP 3 Complementizer Placement 3 OB

* X N [NP+ Y]S z #

1 2 3 4 5 6 1====>

1 2 3 that+ 4 5 6 7

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4. IE 8,9

Identity Erasure OB

# W (NP) X aC NP Y (NP) z

9

9

#

1 2

1 2

3 4

3 4

5

5

6 7

7

8

8

10====>

10

Condition: An NPj ts erased by an identical NP i if and only if

there ts an S such that

5. IOI

# X

1 2

1 2

6. TO

# X

1 2

1 2

V

3

n (i) NPj is dominated by Sn

(ii) NPi neither dominates nor is dominated by Sn

(iii) for all NPk neither dominating nor dominated

by Sn, the distance between NPj and NPk is

greater than the distance between NPj and NP i

where distance between two nodes is defined

in terms of the number of branches in the path

connecting them.

Indirect Object Inversion . OP

{::} to+ NP y

4 5 6 7====>

3+5 4 g 6 7

V

3

3

To Deletion

to NP (PREP)+ NP Y

4 5

5

6

6

7

7

OB

* 8====>

8

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7. PASSIVE Passive OB

# (PRE) NP l AUX V (PREP) NP2

X PREP P Y #

1 2

1 2

3

7

4 5

4 be+ en+ 5

Condition: 3 -I 7

8. EXTRA Extraposition

# X ( (+_S) ]N s

4

., 1 2

1 2

3

3

6

6

y

5

5

7 8

" 8

*

9 10 11 12====>

9 3 11 12

OP

6 ----> ----4+6

9. PROREP Pronoun Replacement OB

# X [[ (+ S) ]N]NP (AUX (be en) V + (MAN)) aC NP Y #

1 z 3 4 5 6 7 8----> ----1 z 6 4 5 ., 7 8

iO. WHA WH-Attraction OB

* u ART [NP w {PREP+[WH [WH X]NP

X]NP} Y]S z * i z 3 4 5 6 7 8 9----> ----1 z 3 6 + 4 5 • 7 8 9

35

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11. RELPLACE Relative Placement

# X ART S N

1 2 3 4 5

1 2 3 'J 5+4

y

6

6

#

7====>

7

12. AUXFILL Auxiliary Filler

# X T {~:ve} y #

1 2 3 4 5 6====>

1 2 3+4 'J 5 6

13. AG Agreement

# (PRE) [(DET)[(aSg)]~NP {PRES} PAST

1 2 3 4

1 2 3 4<aSg

Condition: 4<1

14. EVER Ever

# X INDEF [ (-human,)]N WH {1NDEF} DEF

1 2 3 4 5 6

1 2 3 4 5 6 + ever

36

OB

OB

OB

y #

5 6====>

5 6

OP

N y #

7 8 9====>

7 8 9

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37

15. REGDEL Regressive Deletion a. OP b. OB

{ ART I (+PRO)]N} t· rJ } # X

INDEF N WH + INDE F + b N y # . ever

1 2 3 4 5 6 7 8====>

1 2 'I ~ 5 6 7 8

Condition: 4=6

16. DEFI Definitization OB

# X N [(PREP) + WH INDEF N Y]8

Z #

1 2 3 4 5 6 7 8 9====>

1 2 3 4 DEF 6 7 8 9

l 7. WHAG WH-Agreement OB

# X WH {1NDEF} DEF

(ever) ( (ahuman) )N y #

1 2 3 4 5 6 7 8===>

1 2 3 4 (ahuman 5 6 7 8

Condition: 4<0

18. PROGDEL Progressive Deletion OB

# X N (PREP) + WH + DEF N y #

1 2 3 4 5 6 7===>

1 2 3 4 'i 6 7

Condition: 3 = 5

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19. RELDEL Relative Deletion

# X N [WH Y] NP + be + PRES ADJ Z #

1 2 3 4 5 6 7 ====>

1 2 3 g 5 6 7

20. ADJ PLACE Adjective Placement

# X N ADJ Y #

1 2 3 4 5 6====>

1 2 4 + 3 (j 5 6

21. COUP Complementizer Duplication

# X

1 2

1 2

aC NP Y #

3 4 5 6====>

3 4+3 5 6

22. CNEG C Negative Placement

* X aC <te ; ) + T hav NEG

1 2 3 4 5

1 2 5 + 3 4 " 23. CTENSE C Tense

y

6

6

* X aC <{~v}> + PAST

1 2 3 4

1 2 3 +have+ en 4

* 7====>

7

y * 5 6===>

5 6

38

OP

OB

OB

OP

OB

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24. TS Tense Suppress ion

# X ac n:ave + (en))((+V)l}

T

1 2 3 4 5

1 2 3 4 0

25. CD Complementizer Deletion

# X V [(+_S)]N aC NP Y #

1 2 3

1 2 3

4

4

5

<I

6 7 8====>

26. TAG Tag Question

# NEG Q NP AUX VP

1 2 3 4

1 2 t, 4

5

5

6

6

y

7

6 7 8

#

8====>

7 3+4+5+8

27. NEGPLACE Negative Placement

# NEG (Q) NP

1

1

2

<I

3

3

4

4

AUX

5

5+2

X

6

6

#

7====>

7

39

OB

y * 6 7====>

6 7

OP

OP

OB

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~

28. NEGTAG Tag Negative Placement

# X AUX NEG VP (S) Q NP AUX #

1 2

1 2

3

3

4 5

5

6 7 8 9

6 7 8 9+4

29. NEGAUX Negative Auxiliary

# X T +({;ve}i NEG y #

1 2 3 4 5 6====>

1 2 3+4 " 5 6

30. QUES Question

# Q X { PREP + [WH + Y)NP}

[WH + Y]NP z #

10====>

10

1 2 3 4 5 6====>

14+2 3

31. YESNO

# X

1 2

Q

3

1 2 5 + 3

" 5 6

Yes-No Question

NP AUX y #

4 5 6 7====>

4 6 7

·- .. . ----·-- --

40

OP

OP

OB

OB

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32. AF Affix

T

# X -C ing en

1 2 3

1 2 0

Condition:

33. PREPDEL

NP (+ V) (+M) be have

4

4 + 3

y

5

5

#

6----> ----6

5 = a terminal string <T 1

, <T 2

, ... (1' , n

such that u 1

-,. _-:-C, ing, ~, or T and

2 = a terminal string ct,1

, cp2

, . . . cpn'

such that cl, 1- (+V) or (+M). n

Preposition Deletion

# X PREP [not (+ S)] y # (-C) N

1 2 3 4

1 2 0 4

34. PD Pronoun Deletion

# X [ (+ __ S) ]N (to+ NP)

1

1

z 2

3

0

4

4

5

5

5

5

5

6----> ----6

y

6

6

#

7====>

7

41

OB

OB

OB

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...

35. AGDEL Agent Deletion OP

# X [PREP + INDEF + [ (+PRO) ]N]MAN y #

1 2 3 4 5====>

1 2 0 4 5

36. THAT that Deletion OP

# X {A~J} (NP) [that Y]S z #

1 2 3 4 5 6 7 8====>

1 2 3 4 0 6 7 8

37. VPCOMP VP Complement Placement OP

# X MAN {AUX} +C + have +VP y

1 2 3 4 5

1 2 4 + 3 0 5

38. BEDEL be Deletion

# X

1 2

1 2

M be +C

3 4 5

3 0 5

y

6

6

#

7====>

7

#

6----> ----6

OB

42

)

,

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)

>

_ _....,...~--- . .. .

39. MCDEL

* X

1 2.

1 2.

40. QDEL

# X

1 2.

1 2.

M

3

3

a 3

41. ERASE

# X #

Modal Complementizer Deletion

+C y #

4 5 6----> ----0 5 6

Q Deletion

# y

4

4

5====>

5

Boundary Erasure

1 2. 3====>

0 2.

------ - --

43

OB

OB

OB

l

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II. POST-CYCLIC RULES

42. PAST Past

X {<+v>} {+M)

PAST y

1 2 3 4==== >

1 2 ed 4

43. MTDEL Modal Term Deletion

X

1

1

{+M)

2

2

PRES

3

0

y

4====>

4

44. PLUDEL Plural Deletion

X {+V) [-Sg]PRES y

1 Z 3 4====>

1 z 0 4

OB

OB

OB

45. NUM Number OB

X

1

1

[ · {-Sg)] N

z

z + •

y

3====>

3

--- ~--- - ·-

44

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- ,__........_,_

46. NUAG Number Agreement

X

1

1

(+V)

z z

+Sg

3

s

y

4====>

4

47. CONTR Contraction

X [ Y NEG]AUX z

1 Z 3 4====>

1 Z n't 4

48. NEGSPELL Negative Spelling

X NEG Y

1

1

z not

3====>

3

49. DO 1 Do 1

X

1 2. 3

1 did 3

50. DOZ Do Z

X

1

1

([ +Sg]PRES Y]AUX

Z 3

does 3

z

4====>

4

z

4====>

4

45

OB

OB

OB

OB

OB

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51. DO 3 Do 3

X [[-Sg]PRES Y]AUX z

1 2.

1 do

52.. BE 1

X be

1 2.

1 "

5 3. BE 2.

X be

1 2.

1 "

54. BE 3

X be

1 Z

1 "

3

3

Be 1

[+Sg]PRES

3

is

Be Z

[ -Sg]PRES

3

are

Be 3

was

4====>

4

y

4====>

4

y

4====>

4

4====>

4

46

OB

OB

OB

OB

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55. BE 4

X be

1

1

z

"

Be 4

were

56. HAVE 1 Have 1

X have [+ Sg]PRES

1 Z 3

1 0 has

57. HAVE Z Have Z

X have [-Sg]PRES

i Z 3

1 0 have

58. HA VE 3 Have 3

X have PAST

i Z 3

i 0 had

47

OB

,,

- >

4

OB

y

4====>

4

OB

y

4====>

4

OB

y

4====>

4

Page 55: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

59. WHPD 1 WH Pronoun Deletion 1

X DEF [<+PRO)] WH+ Y (+Sg)

N

1 z 3 4====>

1 z 0 4

60. WHPD 2 WH Pronoun Deletion 2

X WH + INDEF + (ever) [ (+PRO)] (+Sg) N

1 2 3

1 z 0

61. WHDEL WH-Deletion

X

1

1

N

z z

[WH + Y]NP

3

0

NP

4

4

62. DEFTHAT Definite that

X DEF

1

1

2

that

WH+ Y

3====>

3

z

5====>

5

y

4====>

4

·- .. - . " - ··- - - --- -

48

OP

OE\

OP

OB

Page 56: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

-

6 3. WH 1 WH 1

X [WH [ (+human) J { DEF } ]NP

INDEF

1 2 3

1 0 who

64. WH 2 WH 2

X

1

1

WH + DEF

2

which

65. WH 3 WH 3

X

1

1

WH + INDEF

2

what

y

3====>

3

y

3====>

3

y

4====>

4

66. PLADEL Plural Article Deletion

X

i

i

INDEF [ (-Sg) ]N

Z 3

0 3

y

4====>

4

.__ . .

49

OB

OB

OB

OB

Page 57: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

67. C 1 C 1

X +C NP

1 Z 3

1 for 3

68. C Z C Z

X

1

1

+C

2

to

69. C 3

X NP

1 2

1 Z

70. C 4

X

1

1

-C

2

ing

y

3====>

3

C 3

-C

3

'•

C4

X

3====>

3

50

OB

y

4====>

4

OB

OB

y

4====>

4

OB

Page 58: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

71. BY By

X [ PREP NP]MAN

1 2

1 by

72. INDEF

X INDEF

1 2

1 a

73. DEF

X DEF

1 2

1 the

y

3

3

Indefinite

3====>

3

Definite

y

3====>

3

OB

y

4====>

4

OB

OB

~- ---

Page 59: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

, 'f ,

4. 0 Derivations on the CG

4. 1 Conventions

.. .

A derivation consists of four parts: An Actual String, a

Derived String, an Underlying Structure (P-marker), and a

Derivation.

An Actual String is an orthographic representation of a

gramma tical sentence in English. It identifies, in other words,

one of the sentences for which the CG offers a partial charac­

terization. Lacking a phonological component, the characteri­

zation offered by the CG is necessarily incomplete. The CG

is limited to syntactic characterization.

A Derived String provides the sequence of morphemes

generated by the grammar. The immediate constituency of

this sequence is not listed in the derived string but is uniquely

determined, nonetheless, by the transformational rules ap­

plying to the structure underlying the string.

The Underlying Structure provides a record of the partic­

ular application of rewriting and lexical introduction rules

which, upon the application of the transformational rules,

yields the sequence in the derived string. In an underlying

structure, complex symbols are represented by a word, e.g. ,

John, which is an abbreviation for the phonological distinctive

feature matrix associated with this word, and by a list of syn­

tactic features, e.g., (+N), (+Sg), which are relevant to

the application of certain transformational rules.

A Derivation is a record of the transformational rules

which apply to the Underlying Structure. Each Derivation con­

tains as many cycles of transformational application as there

are S's in the Underlying Structure, followed by one application

52

Page 60: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

53

of the post-cyclic rules. A line of derivation is a record of --------the structure produced as the result of .. he application of the

transformation specified at the right of the line of der ivation

and also a record of the structure requisite to the application

of the transformation specified at the right of the, succeeding

line. Structure introduced by conventions on eL'.mentary trans­

formations is not incorporated into a line of derivation. For

example, in Sentence Type No. 30, the application of the Affix

Transformation in the First Cycle incorporates AUX as well

as T into V, since T is the sole daughter of AUX. Since AUX

is adjoi':'1ed to the complex symbol by convention, and not as

the result of transfor~ational specification, AUX is not repre­

sented in the line of derivation characte rizing the output of the

Affix Transformation. The incorporation or elimination of

structure in a line of derivation does not necessarily imply

that these alterations are the result of transformational appli­

cation. When structure ceases to be relevant to the application

of subsequent transformations, it is no longer listed in a line

of derivation (although, of course, the structure continues to

exist in the full P-marker). Similarly, structure is listed in

a line of derivation only when it becomes relevant to the appli­

cation of subsequent transformations.

4. Z Sentence Types

1. the boy likes the gir 1

Z. the boys like the girl

3. the boy liked the girl

4. the boy does not like the girl

5. the boy will like the girl

6. the boy would like the girl

Page 61: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

54

7. the boy will not like the girl

8. the boy is admiring the girl

9. the boy isn't admiring the girl

10. the boy h, ... s been admiring the girl

11. the boy will have been admiring the gir 1

12. does the boy like the girl?

13. doesn't the boy like the girl?

14. John like s the girl doesn't he?

15. John does not like Mary does he?

16. is John admiring Mary?

17. the books were purchased by John

18. must Mary be tormented by John?

19. John gave the book to Mary

20. John offered Mary the book

21. the book was offered to Mary by John

22. Mary was offered the book by John

2 3. who sleeps ?

24. what boy sleeps?

25. which things slip?

26. what slips?

27. what book has John not taken?

28. about what did John speak?

29. the boy who must leave will leave

30. the book of which John speaks is awful

31. the book John speaks of is awful

32. John touched that which annoys Bill

33. Bill can visualize what will fall

34. whatever falls will bounce

35. a tall boy arrived

Page 62: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

55

36. which tall boy did John see?

37. John would like for Mary to leave

38. John wants Mary to leave

39. John wants Mary to be loved by Bill

40. John prefers for Bill not to leave

41. Bill would prefer for .John not to have dreamed

42. for John not to drown would be preferred

4 3. it is required for John to stand

44. Bond was believed to be dead by Goldfinger

45. John loves to run

46. John likes to be taken

4 7. John thinks Bill to be silly

48. John decided for Bill to represent Harry

49. John decided on Bill to represent Harry

50. John appears to have fallen

51. it embarrasses Bill to trip

52. John may resemble Bill

5 3. John dislikes Bill's annoying Mary

54. John dislikes Bill annoying Mary

55. John dislikes annoying Mary

56. John decided on going

5 7. John thinks that Bill will go

58. John thinks Bill smokes

59. that Bill smokes was mentioned by John

60. Bill mentioned to Mary that John smokes

61. it was nientioned by John that Bill smokes

6Z. Bill tells ~tiary John smokes

6 3. Bill reminded Mary to go

64. John tempted Mary to go

Page 63: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

56

65. John condescended to go

66. John stops wondering

4. 3 Derivations

(see following pages)

Page 64: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

' S

en

ten

ce T

yp

e N

o.

1

Actu

al

str

ing

:

Deri

ved

str

ing

:

the b

oy

lik

es

the g

irl

the b

oy

lik

e s

th

e g

irl

Un

derl

yin

g s

tru

ctu

re:

#----

DE

I N

I

AR

T

r ,

I b

oy

]

T I

Deri

vati

on

:

Fir

st C

ycle

:

DE

F

, (+

N)

l(+

Sg

)

PR

ES

1.

[[D

EF

r b

oy

]

]NP

~

+S

g}

N

[[

+S

g)P

RE

S]T

[

lik

e]

DE

F

[gir

l)N

]S

(+V

) V

2.

[DE

F f

bo

y ]N

[l

ike

(+ V

) [(

+S

g]P

RE

S]T

] V

D

EF

f g

irl]

N]S

Po

st

Cy

cle

:

1.

[DE

F f

bo

y]N

fl

ike f

s]T

] D

EF

[g

irl]

]

k+v>

v

NS

2.

[th

e[b

oy

]N

[lik

e s

]y t

he

fgir

l]N

]S

V I

rlik

e]

~+

V)

~

DE

T

N

I I

AR

T

[girl]

I (+

N)

DE

F

T:A

G

T:A

F

T:N

UA

G

T:D

EF

Page 65: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

..

Sen

ten

ce T

yp

e N

o.

2

Actu

al

str

ing

:

Deri

ved

str

ing

:

the b

oy

s li

ke t

he g

irl

the b

oy

s

lik

e t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

~

#

--------

D~

I I

AR

T

bo

y

I f<

+N

)]

DE

F

l<-S

g)

T I

PR

ES

V I

[lik

e]

(+V

) D

E~

I I

AR

T

rg

irl]

I

~+

N)

DE

F

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[[D

EF

f b

oy

]

]NP

[[

-Sg

]PR

ES

]T

[ li

ke

] D

EF

[g

irl]

N]S

L

<-S

g )

N

(+ V

) V

T:A

G

z _

[ DE

F [

bo

y]

N

IT li

ke

[ [

-Sg

] P

RE

S]

T])

D

EF

[g

irl]

NJ

S L

(+ V

) V

T:A

F

Po

st

Cy

cle

:

I.

[DE

F

[bo

y

] [li

ke]

DE

F

[gir

l]N

]S

(-S

g}

N

(+

V}

V

T:P

LU

DE

L

Z.

[DE

F [b

oy

+ s]

[lik

c]V

DE

F

[gir

l]N

]S

(-S

g)

N

T:N

UM

3.

[th

e [b

oy

s ]

N

[lik

e JV

;h

e

[gi:

·l]l

'\]S

T

:DE

F

(.

Page 66: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

3

Actu

al

stri

ng

:

Deri

ved

str

ing

:

the b

oy

lik

ed

th

e g

irl

the b

oy

lik

e e

d t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

s N

NP

A

UX

DE

~

I T

I I

AR

T

[b

oy

]

I (+

N)

DE

F

(+S

g)

I P

AS

T

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[rD

EF

fb

oy

]

]NP

[[+

Sg

]PA

ST

]T

ftik

e]

DE

F [

gir

l]N

]S

~+

Sg

) N

L

<+V

) V

Z.

[ D

EF

[b

oy

]N

[lik

e

[ f+

Sg

)PA

ST

]T]

DE

F [

gir

l]N

]S

L<+

V)

V

Po

st C

ycle

:

1.

[ D

EF

f b

oy

]N

[lik

e [

ed

)T]

DE

F [

gir

l]N

]S

(+V

) V

2.

[ th

e [

bo

y ]N

f li

ke

ed

] V

th

e [

gir

l]N

]S

V

V

[ I ~

lik

e

(+V

)]

DE

T

I N

I fg

irl]

L

<+N

) A

RT

I D

EF

T:A

G

T:A

F

T:P

AS

T

T:D

EF

. ~

Page 67: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

4

Actu

al

stri

ng

: th

e b

oy

do

es

no

t li

ke t

he g

irl

Deri

ved

str

ing

: th

e b

oy

do

es

no

t li

ke t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

-~

PR

E

NP

I~

N

EG

D

ET

N

AJT

[b

ly l

I (+

N)

DE

F

(tS

g)

AU

X

I V

T

I

I [l

ike]

PR

ES

(+

V)

Deri

vati

on

:

Fir

st C

ycle

:

1.

[ N

EG

[ D

EF

[

bo

y

] ]N

P (

[[+

Sg

]PR

ES

]T]A

UX

[ l

ike]V

DE

F [

gir

l]N

]S

(+S

g)

N

2.

[[ D

EF

[ b

oy

]N]N

P [

[[+

Sg

]PR

ES

]T]A

UX

NE

G [

lik

e]V

DE

F [

gir

l]N

]S

Po

st

Cy

cle

:

1.

[[ D

EF

[b

oy

]N]N

P [

[[+

Sg

]PR

ES

]T]A

UX

no

t [l

ike]V

DE

F [

gir

l]N

]S

2.

([ D

EF

[b

oy

)N]N

P [

do

es]

AU

X n

ot

[lik

e)V

DE

F [

gir

l]N

]S

3.

f th

e f

bo

y]N

f d

oes]

AU

X n

ot

[lik

e]V

th

e f

gir

l]N

]S

T:A

G

T:N

EG

PL

AC

E

T:N

EG

SP

EL

L

T:D

O 2

T:D

EF

Page 68: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Actu

al

str

ing

: th

e b

oy

wil

l li

ke t

he g

irl

Deri

ved

str

ing

: th

e b

oy

wil

l li

ke t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

--------#

-A ~

A

NP

DE

~

AJT

[

blyJ

I (+

N)

·.r

I !

O

T

I

PR

ES

[(:~

'J n:~

)] A

f T

[

r:~~

DE

F

(+S

g)

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

2.

[(D

EF

r bo

y ]

]N

P

[(+

Sg

]PR

ES

]T

l<+

Sg

) N

r wil

l ]

[lik

ely

DE

F

[ gir

l ]N

ls

l<+

M)

M

(DE

F [

bo

y]N

[wil

l ,:+

M)

[ [

+S

g)

PR

ES

] T

]M

[ l

ike

] V

D

EF

[ g

irl]

N]

S

Po

st

Cy

cle

:

1.

2.

[ D

EF

[b

oy

] N

k

ill

) [

lik

e]

V

DE

F [

gir

l] N

] S

l<+

M}

M

[ th

e [

bo

y]

N [

wil

l] M

[

lik

e]

V t

he

L gir

l] N

] S

DE

F

T:A

G

T:A

F

T:M

TD

EL

T:D

EF

Page 69: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

6

Actu

al

strin

g:

Deri

ved

str

ing

:

the b

oy

wo

uld

lik

e t

he g

irl

the b

oy

wil

l ed

lik

e t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

~~

*

DE

~

I I

AR

T

lboy]

I {+

N)

DE

F

{+S

g)

I P

AS

T

p

~

I D

ET

I

Jii

ke]

I fg

irl]

L<

+V)

AR

T

L<+N

) I

DE

F

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[[ D

EF

f b

oy

]

]NP

[[+

Sg

)PA

ST

]T

~+

S&

) N

rw

m]

[lik

e)v

DE

F f

gir

l)N

]S

~+

M)

M

T:A

G

2.

[DE

F [

bo

y)N

~

ill

[[+

Sg

)PA

ST

]T]

flik

e)V

DE

F f

gir

l)N

]S

L <+

M)

M

T:A

F

Po

st

Cy

cle

:

1.

[DE

F [

bo

y]N

fw

ill [e

d)T

] [l

ike)V

DE

F [

gir

l]N

]S

l<+

M)

M

T:P

AS

T

2.

[th

e [b

oy

)N [

wil

l e

d)M

[li

ke)V

th

e fg

irl)

N]S

T

:DE

F

Page 70: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

...

Sen

ten

ce T

yp

e N

o.

7

Actu

al

str

ing

:

Deri

ved

str

ing

:

the b

oy

wil

l n

ot

lik

e t

he g

irl

the b

oy

wil

l n

ot

lik

e t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

~

PR

E

I N

EG

D

ET

N

AJT

fl.]

I (+

N)

DE

F

(+S

g)

Deri

vati

on

:

Fir

st

Cy

cle

:

..

- I ~

V

I I

I P

RE

S

[w

ill]

[l

ike]

(+M

) <

+v

)

1.

[NE

G [D

EF

r bo

y

] )N

P

[[[+

Sg

)PR

ES

]T r wi

ll

] )A

UX

[l

ike J

y D

EF

[g

irl)

N]S

L

<+Sg

) N

l<

+M

) M

z. 3.

[DE

F

[bo

y]N

([[

+S

g]P

RE

SJ

[wil

l ]

)AU

X N

EG

[l

ike JV

D

EF

[g

irl}

N}

S

T

(+M

) M

[DE

F

[bo

y]N

[w

ill

(+M

) [[

+S

g)P

RE

S]T

J N

EG

[l

ike J

y D

EF

[g

irl)

N]S

M

Po

at

Cy

cle

:

1.

2.

3.

[ DE

F

[bo

y ]N

[

wil

l J

NE

G [l

ikely

DE

F

[ gir

l JN

ls

(+M

) M

(DE

F

[bo

y]N

[w

ill)

M n

ot

[lik

e JV

DE

F

[gir

l)N

]S

[th

e

[bo

y]N

[w

ill]

M n

ot

[lik

e JV

th

e [g

irl]

NJS

#

NP

~

DE

T

N

I I

AR

T

rg

ir1

l I

(+N

)J

DE

F

T:A

G

T:N

EG

PL

AC

E

T:A

F

T:M

TD

EL

T:N

EG

SP

EL

L

T:D

EF

Page 71: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

j

Sen

ten

ce T

yp

e N

o.

8

Actu

al

str

ing

:

Deri

ved

str

ing

:

the b

oy

is

ad

mir

ing

th

e g

irl

the b

oy

is a

dm

ire i

ng

th

e g

irl

Un

derl

yin

g s

tru

ctu

re:

----

-i

-*

NP

A

UX

~

DE

~

J b

e i

ng

V

N

P

I I

I I ~

AR

T

[b

oy

]

PR

ES

[a

dm

ire]

DE

T

N

I (+

N)

(+V

) I

I D

EF

(+

Sg

) A

RT

[

gir

11

I

(+N

)J

DE

F

D1~

riv

ati

on

:

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st

Cy

cle

:

1.

[[D

EF

rb

oy

]

]NP

[[

PR

ES

]T b

e]A

UX

in

g

rad

mir

e]

DE

F

(gir

l]N

]S

l<+

Sg

) N

L (

+ V)

V

T:A

UX

FIL

L

2.

([D

EF

f b

oy

]

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([

[+S

g]P

RE

S]T

be ]A

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g

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mir

e]

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l]N

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e

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Sg

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ES

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dm

ire +

in

gJ

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l)N

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st

Cy

cle

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F

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y]N

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s]A

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dm

ire i

ng

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irl)

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T

:BE

1

2.

[th

e

[bo

y]N

[i

s]A

UX

[a

dm

ire i

ng

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he

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l]N

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T:D

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-

, ,-

..,;

Page 72: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

-~

Sen

ten

ce T

yp

e N

o.

9

Actu

al

stri

ng

:

Deri

ved

str

ing

:

the b

oy

isn

't a

dm

irin

g t

he g

irl

the b

oy

is

n't

ad

mir

e i

ng

th

e g

irl

Un

derl

yin

g s

tru

ctu

re:

1 PR

E:

N?

au

x

I ~

I N

EG

D

ET

N

T

b

ein

g

V

------

I N

P

r ;ulm

ire]

,.,,-~

I

I I

AR

T

[ b

oy

J

PR

ES

I

(+N

) L

(+V

) D

jT

N

AR

T

_I

I [

gir

l]

DE

F

(+S

g)

Deri

vati

on

:

Fir

st C

ycle

:

1. 2.

3.

4. 5.

[NE

G[D

EF

[

bo

y]

]NP

[(P

RE

S]T

be]

AU

X i

ng

[a

dm

ire JV

DE

F [g

irl]

N]S

(+

Sg)

N

[NE

G

[DE

F

[ b

oy

]

]NP

[[

[+S

g]P

RE

S]T

be]

AU

X i

ng

[a

dm

ire JV

DE

F

[gir

l]N

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(+S

g)

N

[DE

F

fbo

y]N

[[

[+S

g)P

RE

S]T

be]

AU

X N

EG

in

g

(ad

mir

e]

DE

F

[gir

l]N

]S

(+V

) V

[DE

F

[bo

y]N

[[

[+S

glP

RE

S]T

be

NE

G ]

AU

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ng

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dm

ire]

DE

F

(gir

l)N

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(+ V

) V

[DE

F

(bo

y]N

[b

e +

[[+

Sg

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ES

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EG

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X

fad

mir

e +

in

g]

DE

F

[gir

l)N

]S

l<+ V

) V

Po

st

Cy

cle:

1.

[ D

EF

[ b

oy

]N [

be [

[+S

g]P

RE

S]T

n't

]AU

X [

ad

mir

e i

ng

]V D

EF

[ g

irl]

N]S

Z.

[DE

F [

bo

y]N

[[i

s]T

n't

]AU

X [

ad

mir

e i

ng

]V D

EF

[g

irl]

N]S

3.

[th

e [

bo

y]N

[[i

s]T

n't

]AU

X [

ad

mir

e i

ng

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he [

gir

l]N

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DE

F

(+N

},

T:A

UX

FIL

L

T:A

G

T:N

EG

PL

AC

E

T:N

EG

AU

X

T:A

F

T:C

ON

TR

T:B

E i

T:D

EF

4""'

Page 73: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

10

Actu

al

str

ing

:

Deri

ved

str

ing

:

the b

oy

has

been

ad

mir

ing

th

e g

irl

the b

oy

has

been

ad

mir

e i

ng

th

e g

irl

Un

derl

yin

g s

tru

ctu

re:

----

-r

-#

NP

A

UX

p

I D

E~

T

h

av

e e

n

be i

ng

V

N

P

I I ~

AJT

[bly J

I {+

N)

PR

ES

[a

dm

irel

o.Jtr

N

{+

V) J

I I

AR

T

[g

irl]

D

EF

{

+S

g)

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

([D

EF

[

bo

y

] ]N

P

([P

RE

S]T

hav

e]A

UX

en

bein

g [a

dm

ire JV

D

EF

[g

irl]

NJS

{+

Sg)

N

2.

3.

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EF

r b

oy

]

]NP

[[

[+S

g]P

RE

SJT

hav

e ]A

UX

en

be i

ng

[a

dm

ire]

DE

F

[gir

l]N

]S

~+

Sg

) N

{+

V)

V

[DE

F

[bo

y]N

fh

av

e +

[[

+S

g]P

RE

S)T

JAU

X b

e+

en

ra

dm

ire +

in

g]

DE

F

[gir

l]N

]S

{+ V

) V

Po

st

Cy

cle

:

1.

[DE

F

[bo

y]N

[h

as)

AU

X

be e

n [a

dm

ire i

ng

]y D

EF

(g

irl]

N]S

2.

[th

e [

bo

y]N

[h

as]

AU

X b

e e

n [

ad

mir

e i

ng

]y t

he [

gir

l]N

]S

I {

+N

) D

EF

T:A

UX

FIL

L

T:A

G

T:A

F

T:1

-L\.

VE

1

T:D

EF

Page 74: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

., ,.

Sen

ten

ce T

yp

e N

o.

11

Actu

al

str

ing

: th

e b

oy

wil

l h

:,v

e b

een

ach

nir

ing

th

e g

irl

Deri

ved

str

ing

: th

e b

oy

wil

l h

av

e b

een

ach

nir

e i

ng

th

e g

irl

Un

derl

yin

g s

tru

ctu

re:

AR

T

I D

EF

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[[D

EF

r bo

y

] ]N

P

l<+

Sg

) N

~bly]

(+N

) (+

Sg

)

---Tr•--

-----=-

-----

_-_

-_

--*

~

T

M

I I

f wil

l,

~+

M)j

P

RE

S

hav

e e

n

be i

ng

V

N

P

I~

fa

ch

nir

e]

DE

T

N

L<

+v>

I

I A

RT

fg

irl]

I

~+

N)

DE

F

[[f+

Sg

)PR

ES

]T r w

ill

] ]A

UX

hav

e e

n b

e i

ng

fa~

ire]

DE

F [

gir

l)N

]S

l<+M

) M

L

,+ V

) V

T

:AG

2.

(DE

F

(bo

y)N

[

[wi.

U +

[[+

Sg

)PR

ES

]T]

)AU

X h

av

e b

e+

en

fa

ch

nir

e +

in

g]

DE

F

[gir

l]N

]S

(+M

) M

L (

+ V

) V

T

:AF

Po

st

Cy

cle

:

1.

(DE

F

fbo

y)N

[[

wil

l)M

]AU

X h

av

e b

e

en

[ach

nir

e in

g)y

DE

F

[gir

l)N

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T:M

TD

EL

2.

[ th

e [

bo

y ]N

[ w

ill]

M h

av

e

be e

n [

ad

m,r

~ •n

gJV

th

e [

gir

l]N

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T:D

EF

Page 75: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

l Z

Actu

al

stri

ng

:

Deri

ved

str

ing

:

do

es

the b

oy

lik

e t

he g

irl

do

es

the b

oy

lik

e t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

PR

E

I Q

AU

X

I T

Y

NP

I P

RE

S

[bly J

(+

N}

I ~

[li

ke]

DE

T

N

(+Y

} I

I --

l .. girl

.. J D

EF

(+

Sg

}

Deri

vati

on

:

Fir

st

Cy

cle

:

1. z. 3.

[Q [

DE

F

[ b

oy

]

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[[

f+S

g]P

RE

S]T

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X [l

ike]y

DE

F

[gir

l]N

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(+S

g)

N

[[[[

+S

g]P

RE

S]T

]AU

X Q

[D

EF

[b

oy

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P [l

ike]y

DE

F

[gir

l]N

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[[[[

+S

g]P

RE

S]T

]AU

X D

EF

[b

oy

]N

[l

ike ]y

DE

F

[gir

l]N

]S

Po

st

Cy

cle

:

1.

[(d

oe

s]A

UX

DE

F [

bo

y]N

[li

ke]y

DE

F [

gir

l]N

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2.

[[ d

oes]

AU

X t

he [

bo

y]N

[li

ke]y

th

e f

gir

l]N

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AR

T

I D

EF

(+

N)

T:A

G

T:Y

ES

NO

T:Q

DE

L

T:D

O 2

T:D

EF

Page 76: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

~

Sen

ten

ce T

yp

e N

o.

13

Actu

al

stri

ng

:

Deri

ved

str

ing

:

do

esn

't th

e b

oy

lik

e t

he g

irl

do

es

n't

th

e b

oy

lik

e t

he g

irl

Un

derl

yin

g s

tru

ctu

re:

* -

~1

----

# P

RE

N

P

AU

X

V

~ ~

I N

EG

Q

D

ET

N

T

V

~

I I

I I

..,.

,...

-"'-

AR

T

[bo

y~

P

RE

S

[li

ke]

DE

T

N

I ( +

N )

(+

V)

I I

DE

F

(+S

g)

AR

T

[g

irll

I

(+N

~

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[NE

G Q

[D

EF

r b

oy

]

]NP

[[[

+S

gJP

RE

SJT

JAU

X

[lik

e ]y

DE

F

[gir

l]N

JS

L<

+S

g)

N

2.

[Q (D

EF

[b

oy

]N]N

P

[[(+

Sg

]PR

ES

]T]A

UX

NE

G

[lik

e JV

D

EF

[g

irl]

N]S

3.

[Q [D

EF

[b

oy

]N]N

P

[[[+

Sg

JPR

ES

]T N

EG

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X

[lik

e ]y

DE

F

[gir

l]N

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4.

[[[[

+S

g]P

RE

SJT

NE

GJA

UX

Q D

EF

[b

oy

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P

[lik

e]V

DE

F

[gir

l]N

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5.

[[[[

+S

g]P

RE

S]T

NE

GJA

UX

DE

F

[bo

y)N

[l

ike JV

D

EF

[g

irl]

NJS

Po

st C

ycle

:

f.

([[[

+S

gJP

RE

S]T

n't

)AU

X D

EF

[b

oy

)N [

lik

c)V

DE

F [

gir

l)N

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2.

Hr cl

o<'s

)T n

't)A

U).

DE

F [

bo

y)N

[ l

iJ.:,·]y

DE

F [

gir

l)N

]S

3.

[[(d

ov

s]T

n't

]AU

~-:

the

[bo

y]N

[li

keJV

th

e fg

irlJ

NJS

DE

F

T:A

G

T:N

EG

PL

AC

E

T:N

EG

AU

X

T:Y

ES

NO

T:Q

DE

L

T:C

ON

TR

T:D

O 2

T:D

EF

(_

.

Page 77: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

14

Actu

al

stri

ng

: Jo

hn

lik

es

the g

irl

do

esn

't h

e

Joh

n l

ike s

th

e g

irl

do

es

n't

Jo

hn

D

eri

ved

str

ing

:

Un

derl

yin

g s

tru

ctu

re:

1 #

P~

E

~A

U~

~

I I

-----

-----

NE

G

Q

N

T

V

NP

I I

I ~

[

Jo

hn

] P

RE

S

rlik

e ]

D

ET

N

(+

N)

l(+

V)

I I

(+S

g)

AR

T

[gir

l ]

I (+

N)

DE

F

De

riv

ati

on

:

Fir

st

Cy

cle

:

1.

2.

3.

4.

[NE

G Q

[

[Jo

hn

] ]N

P [

[ [

+S

g]P

RE

S]T

]AU

X [

lik

e]V

DE

F [

gir

l]N

]S

(+S

g)

N

T:A

G

[NE

G [

[Jo

hn

]N]N

P [

[ [

+S

g]P

RE

S]T

]AU

X [

lik

e]V

DE

F [

gir

l]N

Q[

[ Jo

hn

]N]N

P [

[ [

+S

g]P

RE

S]T

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X]S

T:T

AG

[ [

Joh

n]N

[ [

[+

Sg

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ES

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UX

NE

G~

lik

e]V

DE

F [

gir

l]N

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[Jo

hn

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P

[ [

[+S

g]P

RE

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X]S

VP

T

:NE

GP

LA

CE

[ [

Joh

n]N

[ [

[+

Sg

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ES

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UX

[ [

lik

e]V

DE

F [

gir

l]N

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Q [

(Jo

hn

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P [

[ [

+S

g]P

RE

S]T

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X N

EG

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T:N

EG

TA

G

Page 78: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

5.

[[ J

oh

n]N

[[[

+S

g]P

RE

S]T

]AU

X (

lik

e]V

DE

F [

gir

l]N

Q [

[Jo

hn

]N]N

P [

[[+

Sg

]PR

ES

]T N

EG

]AU

X]S

T:N

EG

AU

X

6.

[[Jo

hn

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[[+

Sg

]PR

ES

]T]A

UX

r li

ke]

DE

F [

gir

l]N

[[[

+S

g]P

RE

S]T

NE

G]A

UX

Q [

[Jo

hn

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p1

S

L<+

V)

V

T:Y

ES

NO

7.

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hn

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ike [

[ +S

g]P

RE

S]T

] D

EF

[ g

irl]

N [

[[+

Sg

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ES

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EG

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X Q

[ J

oh

n]N

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T:A

F

L<+

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8.

[[Jo

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ike [

[+S

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EF

r gi

rl]N

[[[

+S

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RE

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NE

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UX

r Jo

hn

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L<

+v>

Po

st

Cy

cle

:

t.

[[Jo

hn

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lik

e[s

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DE

F [

gir

l]N

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+S

g]P

RE

S]T

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UX

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hn

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2.

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hn

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lik

e s

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EF

[ g

irl]

N [

[f+

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ES

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't]A

UX

[ J

oh

n]N

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3.

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hn

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lik

e s

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EF

[ g

irl]

N [

[ d

oes]

T n

't]A

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[ J

oh

n]N

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4.

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hn

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lik

e s

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he

[ g

irl]

N [

[ d

oes

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't]A

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oh

n]N

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T:Q

DE

L

T:N

UA

G

T:C

ON

TR

T:D

O 2

T:D

EF

Page 79: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

15

Actu

al

stri

ng

: Jo

hn

do

es

no

t li

ke M

ary

do

es

he

Deri

ved

str

ing

: Jo

hn

do

es

no

t li

ke M

ary

do

es

Joh

n

Un

derl

yin

g s

tru

ctu

re:

------------------#

lj{!:

N~~ Q

-N

P I N

[

Joh

n J

(+

N)

(+S

g)

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[NE

G Q

[ [Jo

hn

]

]NP

[[[

+S

g]P

RE

S]T

]AU

X [

lik

e]y

[M

ary

]N]S

(+

Sg

) N

I rli

ke]

L<+Y

> N

I rMary

] (+

N)

T:A

G

l.

[ N

EG

[ [

Jo

hn

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P [

[ [

+S

g]P

RE

S]T

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X [

lik

e]y

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ary

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[ [

Jo

hn

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[ [

+S

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RE

S]T

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X]S

T:T

AG

3.

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oh

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[[[

+S

g]P

RE

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ke]y

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ary

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oh

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g]P

RE

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Sg

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ES

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UX

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G [

lik

e]y

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ary

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[ [

+S

g]P

RE

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[ [

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hn

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plS

5.

[ (J

oh

n]N

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g]P

RE

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X N

EG

[ l

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ary

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[ [

+S

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uX

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oh

n]N

ls

Po

st

Cy

cle

:

1.

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hn

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[[+

Sg

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ES

]T]A

UX

no

t [ li

ke]y

[ M

ary

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[+S

g]P

RE

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X [

Jo

hn

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2.

([ J

oh

n]N

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oes

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X n

ot

[ li

ke)y

[ M

ary

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oes

(Jo

hn

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,~

T:N

EG

PL

AC

E

T:Y

ES

NO

T:Q

DE

L

T:N

EG

SP

EL

L

T:D

O 2

Page 80: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

16

Actu

al

stri

ng

: is

Jo

hn

ad

mir

ing

Mary

Deri

ved

str

ing

: is

Jo

hn

ad

mir

e i

ng

Mary

Un

derl

yin

g s

tru

ctu

re:

PR

E

I a

Deri

vati

on

:

Fir

st C

ycle

:

NP

I N

[

Jo

hn

] (+

N)

(+S

g)

~ I

AU

X

I T I

PR

ES

1.

[ Q

[

[Jo

hn

]

]NP

[ [

PR

ES

]T +

be]

AU

X i

ng

[ a

dm

ire JV

[M

ary

]N]S

(+

Sg

) N

2.

[ Q

[

[Jo

hn

]

]NP

[ [

[ +

Sg

)PR

ES

]T b

e]A

UX

in

g [

ad

mir

e)y

[ M

ary

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(+

Sg

) N

3.

[ [ [[

+S

g)P

RE

S]T

] b

e)A

UX

Q [

[Jo

hn

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P i

ng

ra

dm

ire]

[ M

ary

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L

<+v>

v

4.

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be +

[(

+S

g]P

RE

S]T

] AU

X Q

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hn

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e +

in

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ary

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L

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s.

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e [

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RE

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X (

Joh

n]N

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mir

e i

ng

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Mary

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Po

st

Cy

cle

:

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s] A

UX

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oh

n)N

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dm

ire i

ng

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Mary

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p

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T:A

UX

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L

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G

T:Y

ES

NO

T:A

F

T:Q

DE

L

T:B

E 1

Page 81: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

t 7

Actu

al

stri

ng

:

Deri

ved

str

ing

:

the b

oo

ks

were

pu

rch

ase

d b

y J

oh

n

the b

oo

ks w

ere

pu

rch

ase

en

by J

oh

n

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derl

yin

g s

tru

ctu

re:

\

l ,

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x

VP

I I

7 N

T

V

N

P

I I

I ~

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hn

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AS

T

rpu

rch

ase]

DE

T

N

PR

EP

P

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iu,

Cy

cle

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t.

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EF

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oo

k]N

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PA

ST

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EP

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AN

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Z.

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PAS

T] T

+ b

e J A

UX

en

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urc

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PRE

P £

£ J o

hn

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p1

MA

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(-

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3.

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EF

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oo

k]

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at

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cle

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EF

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were

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pu

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PR

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EF

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were

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e [

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ase

en

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y [

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EF

_..

. S"

Page 82: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

18

Actu

al

stri

ng

: m

ust

Mary

be t

orm

en

ted

by

Jo

hn

Deri

ved

str

ing

: m

ust

Mary

be t

orm

en

t en

by

Jo

hn

Un

derl

yin

g s

tru

ctu

re:

-~

l

PR

E

NP

A

UX

I I ~

a N

-r

M

v

NP

M

AN

I I

I I

I~

[J

oh

n]

PR

ES

rm

ust]

fto

rmen

t]

N

PR

EP

P

(+N

}

L<

+M

) L

(+V

) [M

Jry]

(+

N)

(+S

g}

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[ Q

[[M

ary

]

]NP

[ [

PR

ES

]T [

mu

st]M

]AU

X b

e+

en

+ [

to

rmen

t]V

[ P

RE

P [

[ J

oh

n]N

]Np

lMA

N]S

(+S

g)

N

T:P

AS

SIV

E

z. [

Q [

[M

ary

]

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[ f

f+S

g]P

RE

S]T

f m

ust

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UX

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n [

to

rmen

t]V

[ P

RE

P [

[ J

oh

n]N

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lMA

N]S

(+

Sg

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T

:AG

3.

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[ [+

Sg

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ES

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rmu

st]

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UX

Q [

[ M

ary

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P b

e e

n [

torm

en

t]

[ P

RE

P [

[ J

oh

n]N

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+V

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4.

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ust+

[[+

Sg

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ES

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[M

ary

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e

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rmen

t +

en

J [P

RE

P [

[J

oh

n]N

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(+

M)

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L (+

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V

T:A

F

5.

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[mu

st

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Sg

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ES

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X [

Mary

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e [

to

rmen

t en

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PR

EP

[ [

Jo

hn

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]Np

lt./

.AN

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(+M

) M

T

:QD

EL

Po

st C

ycle

:

1.

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ust

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UX

[M

ary

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e [

torm

en

t en

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PR

EP

[[J

oh

n]N

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JMA

N]S

Z.

[ [

mu

st]M

[ M

ary

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e f t

orm

en

t en

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by

[ [

Joh

n]N

]NP

]MA

N]S

-=-------

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'-...

----

T:M

TD

EL

T:B

Y

Page 83: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

,..

Sen

ten

ce T

yp

e N

o.

19

Actu

al

stri

ng

:

Deri

ved

str

ing

:

Joh

n g

av

e t

he b

oo

k t

o M

ary

Joh

n g

ive e

d t

he b

oo

k t

o M

ary

Un

derl

yin

g s

tru

ctu

re:

----

r ,

NP

A

UX

V

J!

I I

I N

T

V

N

P

I I

I ~

[Joh

n J

PA

ST

[g

ive]

DE

T

N

(+N

) (+

V)

I I

(+S

g)

AR

T

rbo

ok

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L<

+N

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EF

pp

~

PR

EP

N

P

I I

to

N I rM

ary

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{+N

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vati

on

:

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st C

ycle

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1.

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oh

n]

]NP

fr +

Sg

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ST

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ive]

DE

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bo

ok

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o [

Mary

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g)

N

L T

(+

V)

V

T:A

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Z.

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hn

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e

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+S

g]P

AS

T]T

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EF

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oo

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to

[M

ary

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(+

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V

T:A

F

Po

at

Cy

cle

:

1.

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hn

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fgiv

e [e

d]

TJ

DE

F [

bo

ok

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o [

Mary

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L

<+

V)

V

T:P

AS

T

z. [ [

J oh

n]N

[ g

ive e

d]V

th

e [

bo

ok

]N t

o [

Mary

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T

:DE

F

-

Page 84: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

" -

Sen

ten

ce T

yp

e N

o.

Z0

Actu

al

stri

ng

: Jo

hn

off

ere

d M

ary

th

e b

oo

k

Deri

ved

str

ing

: Jo

hn

off

er

ed

Mary

th

e b

oo

k

Un

derl

yin

g s

tru

ctu

re:

N I

[Joh

n 1

i ~

r

V ~

N

T

I]

OT

I

I o

ffer

I

bo

ok

P

AS

T

[~+V)

Ar

L{+N)]

(+

N)

(+S

g) J

D

EF

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

[ [

[ Jo

hn

]

)NP

PA

ST

[ o

ffer J

y [ t

o[

[ M

ary

)N]N

plp

p [

DE

F [

bo

ok

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p1

S

(+S

g)

N

z. 3.

4.

[ [ f

Joh

n

jl ]N

P P

AS

T [

off

er ]

y [

[ M

ary

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P [

DE

F [

bo

ok

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L

<+

Sg)

N

([ f J

oh

n]

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[+S

g)P

AS

T]T

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X [o

ffer]

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ary

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EF

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oo

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L (+S

g)

N

(+ V

) V

[{Jo

hn

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roff

er

[[+

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EF

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Po

st C

ycle

:

1.

fr Jo

hn

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off

er

[ ed

]T]V

[M

ary

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EF

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oo

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Z.

[[ J

oh

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p

PR

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to

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O

T:A

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F

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AS

T

T:D

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I r M

ary

] L (

+N

)

Page 85: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

21

Actu

al

stri

ng

: th

e b

oo

k w

as

off

ere

d t

o M

ary

by

Jo

hn

Deri

ved

str

ing

: th

e b

oo

k w

as

off

er

en

to

Ma

ry

by

Jo

hn

Un

derl

yin

g s

tru

ctu

re:

~------s:-------------------------------1

1

N~

X

jf~

I

I ~

------

N

T

V

NP

P

~

[Jo

Ln

] P

~S

T

[ofi

er]

D

E~

P

R~

P

PR

G ~

(+N

) (+

V)

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I I

AR

T

[b

oo

k]

to

N

I (+

N)

I D

EF

(+

Sg

) [~

:~

~]

Deri

vati

on

:

Fir

st

Cy

cle

:

1. 2.

3.

4.

[ [ D

EF

)o

ok

]N]N

P [

[ P

AS

T]T

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X b

e +

en

+ [

off

er J

V t

o [

Mary

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PR

EP

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n]N

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lMA

N]S

T:P

AS

SIV

E

[ [

DE

F

[b

oo

k]

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[ [

PA

ST

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AU

X e

n [

off

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o [

Mary

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PR

EP

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Jo

hn

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AN

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N

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EF

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AS

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be]

AU

X e

n

roff

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to

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ary

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PR

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Jo

hn

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plM

AN

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(+\'

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to [

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RE

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at

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3

2.

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as]

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off

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to

[ M

ary

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by

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T

:BY

3.

[th

e [

bo

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was]

AU

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off

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o [

Mary

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y [

Jo

hn

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T

:DE

F

-

Page 86: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

~

Sen

ten

ce T

yp

e N

o.

22

Actu

al

stri

ng

:

Deri

ve

d st

rin

g:

Mary

was

off

ere

d t

he b

oo

k b

y J

oh

n

Mary

was

off

er

en

th

e b

oo

k b

y J

oh

n

Un

derl

yin

g s

tru

ctu

re:

# N;==

==-1=

====

==-==

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---~

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A

X

N

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I

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N

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fJo

hn

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AS

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ffer]

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(+

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PR

EP

p

AR

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rbo

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I ,

to

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[M

Ly

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vati

on

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st C

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PA

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to [

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RE

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2.

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AS

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off

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4.

5. 6.

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ary

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Page 87: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 88: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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en

ten

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Page 89: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

Sen

ten

ce T

yp

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Page 90: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

Sen

ten

ce T

yp

e N

o.

26

Actu

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Page 91: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

Z7

Actu

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Page 92: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

6.

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Page 93: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

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l8

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Page 94: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 95: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

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Ty

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ten

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31

Actu

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Page 101: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

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32

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Page 103: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 105: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

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o.

34

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Page 107: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

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e N

o.

35

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Page 108: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 109: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

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o.

36

Actu

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Page 110: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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2.

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ee

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y ]N

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hn

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f +S

g]P

AS

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ee

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H D

EF

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y ]N

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all

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N

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hn

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Sg

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ST

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e]V

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EF

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tall

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oy

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P]S

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man

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F [

tall

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oy]N

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f[Jo

hn

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g]P

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TJT

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man

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ll]A

DJ

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y}N

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ST

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UX

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[Jo

hn

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P [s

ee

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f[W

H[+

hu

man

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F [

tall

] AD

J [b

oy

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g] P

AS

T]T

] AU

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Joh

n}N

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ee

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et C

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t.

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H[+

hu

man

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F [

tall

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J [

bo

y)N

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id)A

UX

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hn

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eee)

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2.

([w

hic

h [

tall

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oy

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P [

did

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Joh

n]N

[ee

e]V

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DJP

LA

CE

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UF:

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NO

T:Q

DE

L

T:D

O 1

T:W

H Z

Page 111: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

37

Actu

al

str

ing

: Jo

hn

wo

uld

lik

e f

or

Mary

to

leav

e

Deri

ved

str

ing

: Jo

hn

wil

l ed

lik

e f

or

Mary

to

leav

e

Un

derl

yin

g s

tru

ctu

re:

~

#

NI ~

N

T

M

I I

I

[

Jo

hn

]

PA

ST

[

wil

l ]

(+N

) (+

M)

(+S

g)

*

p A

UX

V

P

I I

I N

T

V

I I

I [Ma

ry]

PR

ES

[1

eav

eJ

(+N

) (+

V)

(+S

g)

Page 112: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

~

~ i'

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

X [[

fM

ary

] ]N

P [

[+S

glP

RE

SlT

[le

av

e]

ls Y

L

<+

Sg)

N

(+

Y)

y

2.

X [

[Mary

lN re

av

e +

[[+

Sg

]PR

ES

]T]

ls y

(+

Y)

y

Seco

nd

Cy

cle

:

1.

[[ [

Jo

hn

] ]N

P P

AS

T [

wil

l]M

[ l

ike]y

(+

-Sg}

N

r it

J

[+C

[[M

ar/

jN]N

P [

leav

e[+

Sg

]P~

Esl

yls

ls

l('+

C)

N

T:A

G

T:A

F

T:C

P 1

2.

[[ [

Jo

hn

] ]N

P [

+S

g]P

AS

T [

wil

l]M

[li

kely

r it

J

[+C

[[M

ary

]N]N

P [

leav

ef+

Sg

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yls

ls

T:A

G

(+S

w

N

~+

C)

N

3.

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oh

n]

[+S

g]P

AS

T [

wil

llM

[li

kely

[

it J

[+C

[[M

ary

lNlN

P +

C

fleav

e [

[+S

glP

RE

S]T

] ] 5

] 5 IJ

+S

g}

N

c'+

C)

N

L (+

Y)

y T

:CD

UP

4.

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oh

n}

[[

+S

glP

AS

TlT

rwm

] [l

ikely

fi

t ]

[+C

[M

ary

lN +

C[l

eav

e]

1 5] 5

T

:TS

(+

s~

N

L<+

M)

M

l<+

c >

N

<+ Y

) Y

5.

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hn

]N r

vi;'i

ll +

f[+

Sg

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ST

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flik

e]y

f it

]

[+C

[M

ary

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C[l

eav

e]Y

]S]S

L<

+M

} M

l<

+_

S}

N

6.

[[Jo

hn

]N [

wil

l[+

Sg

]PA

ST

]T

flik

e]y

f+

C [

Mary

]N +

C f

leav

e]y

] 5] 5

Po

st C

ycle

:

1.

[[Jo

hn

]N [

wil

l [e

d]T

]M [

lik

ely

f+

C [

fMary

]N]N

P +

C f

leav

e]v

lsls

z. [[

Joh

n]N

fw

ill

ed]M

[li

kely

[fo

r [[

Mary

]N]N

P +

C [

leav

e]y

1s1

s

3.

[[Jo

hn

]N [

wil

l ed

]M [

lik

e]y

[fo

r [[

Mary

]N]N

P t

o [

leav

e]y

lsls

T:A

F

T:P

D

T:P

AS

T

T:C

1

T:C

2

Page 113: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

38

Actu

al

str

ing

:

Deri

ved

str

ing

:

Joh

n w

an

ts M

ary

to

lt:

:'iv

e

Joh

n w

an

t s

Mary

to

leav

e

Un

derl

yin

g s

tru

ctu

re:

-r-==~

=:===

===--

--------

-------1

1 N

~U

X

~

I N

T

I P

RE

S

[

JoL

n J

(+N

) (+

Sg

)

NP

A

UX

V

P

I I

I N

T

V

[MLy

] I

I P

RE

S

[leav

e]

(+N

) (+

V)

(+S

g)

'

Page 114: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

.....

1'

-D

eri

vati

on

:

Fir

st

Cy

cle

:

1.

X [[

[M

ary

] ]N

P [

[+S

g]P

RE

S]T

[l

eav

e]

]SY

(+

Sg

) N

(+

V)

V

2.

X [

[Mary

]N

[leav

e

[[+

Sg

)PR

ES

]T]

) 5 Y

{+

V)

V

Seco

nd

Cy

cle

:

1.

[[ [J

oh

n

] ]N

P P

RE

S [w

an

t]

[ it

]

[+C

[[M

ary

]N]N

P [

leav

e [

+S

g]P

RE

slv

lsls

(+

Sg

} N

(+

V)

_ V

{+C

} N

2.

[[ [

Jo

hn

]

]NP

[+

Sg

]PR

ES

[w

an

tlv

[it

)N [

+C

[[M

ary

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P [

leav

e [

+S

g]P

RE

slv

1sl

s {+

Sg

) N

3.

f Jo

hn

1 [+Sg

]PR

ES

[w

ant)

V [

it]N

[ +

C [

[Mary

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P +

C [

leav

e [

[+S

g)P

RE

S]T

] ]S

]S

L<+

Sg}

N

. <+

V)

V

4.

[ ~

Jo

hn

] [+

Sg

]PR

ES

[w

an

t]V

[

it

] [

+C

[[M

ary

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P +

C [

leav

e)

) ]

{+S

) {+

S

) V

S S

g

N

-N

5.

[ [J

oh

n]

[[+

Sg

]PR

ES

)T [w

an

t]

[ it

]

[[[M

ary

]N]N

P +

C [

leav

e]

] ]

(+S

g)

N

{+V

) V

(+

_S

}

N

VS

S

6.

[[Jo

hn

)N

[wan

t [[

+S

g)P

RE

S]T

] [

it

] [[

[Mary

]N]N

P +

C [

leav

e]V

]S]S

(+

V}

V

{+

_S

) N

7.

([Jo

hn

]N

[wan

t [+

Sg

]PR

Es]

[[

Mary

]N +

C [

leav

e)v

lsls

(+

V)

V

Po

st C

ycle

:

1.

[[ J

oh

n]N

[w

an

t[s]

T]

[[M

ary

)N +

C [

leav

e]v

lsls

(+

V)

V

2.

[[Jo

hn

]N [

wan

t[s)

T]V

[[

Mary

]N t

o

fleav

e]v

lsls

T:A

G

T:A

F

T:C

P 1

T:A

G

T:C

DU

P

T:T

S

T:C

D

T:A

F

T:P

D

T:N

UA

G

T:C

2

Page 115: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

..

Sen

ten

ce T

yp

e N

o.

39

Actu

al

str

ing

:

Deri

ved

str

ing

:

Joh

n w

an

ts M

ary

to

be l

ov

ed

by

Bil

l

Joh

n w

an

t s

Mary

to

be l

ov

e e

n b

y B

ill

Un

derl

yin

g s

tru

ctu

re:

~----*

NP

A

UX

I

I ~

N

T

r ---

-I

I ~

[

Jo

hn

]

PR

ES

[w

Jn

t]

N

H ----

(~~~

(+ y

)

[ i~

]

-S

(+N)

(+

S

) (+

C)

NP

I N I

rBil

l J

L<+N

)

AU

X

I T I

PR

ES

*

~p

V

N

fl I

i M

AN

L<:;~

] ~

PR

~

[

I P

Mary

(+

N)

(+Sg)]

Page 116: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

vati

on

:

Fir

st

Cy

cle

;

1.

2.

3.

4.

X [

[[M

ary

]N]N

P (

[PR

ES

)T]A

UX

be+

en

+ l

ov

e [

PR

EP

[[ B

ill]

N]N

plM

AN

]S Y

X [

[M

ary

] ]N

P (

[PR

ES

)T +

be)

AU

X e

n l

ov

e P

RE

P [

Bil

l)N

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·(

+S

g)

N

X [

[M

ary

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[+S

g]P

RE

S]T

be]

AU

X e

n [

lov

e]

PR

EP

[B

ill]

N]S

Y

(+S

g)

N

{+V

) V

X [

[Mary

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be+

[[+

Sg

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ES

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UX

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ve +

en

] P

RE

P [

Bil

l]N

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(+

V}

V

T:P

AS

SIV

E

T:A

UX

FIL

L

T:A

G

T:A

F

Seco

nd

Cy

cle

:

1.

([ r Jo

hn

] ]N

P P

RE

S [

wan

t)N

U

+S

g}

N

[ it

]

[+C

([M

ary

]N]N

P [

be

[+S

g]P

RE

S]A

UX

[lo

ve

en]V

PR

EP

[B

ill]

N]S

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{+

C)

N

T:C

P 1

2.

3. 4.

5.

6.

[ fJ

oh

n

] [+

Sg

)PR

ES

[w

an

t)V

[it

)N [

+C

[[M

ary

)N]N

P [

be

[+S

g)P

RE

S]A

UX

[lo

ve

en)V

PR

EP

[B

ill]

N)S

]S

L<+

Sg)

N

T:A

G

[ rJ

oh

n

] [+

Sg

]PR

ES

[w

ant)

V [

it]N

[+

C [

[Mary

]N]N

P +

C [

be

[[+

Sg

]PR

ES

]T]A

UX

[lo

ve

en]V

PR

EP

[B

ill]

N]S

]S

Ll+

Sg)

N

T

:CD

UP

[ ~

Joh

n ]

[+

Sg

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ES

[w

ant}

V

[ it

]

[+C

[[M

ary

]N]N

P +

C [

be]

AU

X [

lov

e en

]V P

RE

P [

Bil

l]

] ]

(+S

)

(+

S}

N 5

S

g N

-

N

T:T

S

[ rJ

oh

n J

[f +

Sg

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ES

] L

<+

Sg)

N

[w

an

t]

[ it

]

[[[M

ary

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P +

C [

be]

AU

X [

lov

e eE

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RE

P [

Bil

l]N

]S]S

{+

V)

V

<+

_S

}

N

T:C

D

[[Jo

hn

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[wan

t (+

V)

[[+

5g

]PR

ES

]T]

r it

]

[[[M

ary

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P +

C [

be]

AU

X [

lov

e en

]v P

RE

P [

Bil

l]N

lsls

v

l<+

_s>

N

T

:AF

7.

[[Jo

hn

]N

[wt;

~ f

+S

g]P

RE

S]

V [

[Mar

y]N

+C

[b

e]A

UX

[lo

ve

en]V

PR

EP

[B

ill]

N]S

)S

Po

at

Cy

cle

:

T:P

D

t.

[(Jo

hn

]N [

wan

t[aJT

J-[[

Mar

y1

N +

C [

be]

AU

X [

lov

e en

]V P

RE

P [

Bil

l]N

]S]S

(+

V)

" ~

Z.

([Jo

hn

]N [

wan

t[s]

T]V

[[M

ary

)N t

o [

be)

AU

X [

lov

e en

]V [

PR

EP

([B

ill)

N]N

plM

AN

]S]S

3.

[[Jo

hn

]N [

wan

t[s]

T]V

[[M

ary

]N t

o [

be]

AU

X [

lov

e en

]V [

by

[[B

ill]

NJN

p1

MA

N1

s1s

T:N

UA

G

T:C

Z

T:B

Y

Page 117: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

40

Actu

al

str

ing

: Jo

hn

pre

fers

fo

r B

ill

no

t to

leav

e

De

riv

ed

str

ing

: Jo

hn

pre

fer

s fo

r B

ill

no

t to

leav

e

Un

derl

yin

g s

tru

ctu

re:

1'-

----

--..

#

NP

A

UX

I I

N

T

[JJhn

] {

+N

) {

+S

g}

I P

RE

S

,;p

V I

f pre

fer]

N

---#

L (+

V)

f (:L ]

+

S}

{+C

)

PR

E

I N

EG

NP

I N [B;ll]

{+

N)

{+S

g}

AU

X

VP

I I

T

V

I I

PR

ES

[1

eav

e]

{+

V)

Page 118: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

....

,:

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

X [

NE

G [

[B

ill

] ]N

P [

[[+

Sg

]PR

ES

]T]A

UX

µ

eav

e]

] 5

Y

(+S

g}

N

L<+

V}

V

2.

X [

[[B

ill]

N )

NP

[[[

+S

g)P

RE

S]T

]AU

X N

EG

[le

ave)

V]S

Y

Seco

nd

Cy

cle

:

1.

[[

rJo

hn

] ]N

P P

RE

S [

pre

fer J

V r i

t ]

[+C

[[

Bil

l]N

]NP

[+

Sg

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ES

NE

G [

leav

e]V

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L

<+

sg}

N

L<

+c>

N

2.

[ fJ

oh

n ]

[+

Sg

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ES

[p

refe

r ly

[it

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+c [

[Bil

l]N

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[+

Sg

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ES

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G [

leav

e)v

lsls

L

<+Sg

} N

3.

[(Jo

hn

]N [

+S

g]P

RE

S [

pre

fer]

V [

it]N

[+

C (

[Bil

l]N

]NP

+C

[[+

Sg

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ES

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EG

[le

ave]

V]S

]S

4.

[[Jo

hn

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+S

g]P

RE

S [

pre

fer

JV [

it]N

[+

C

[Bil

l)N

NE

G +

C [

[+S

g]P

RE

S]T

[le

ave]

V]S

]S

5~

6.

7.

[[Jo

hn

]N [

[+S

g]P

RE

S]T

[p

refer]

[it]

N [

+C

[B

ill]

N N

EG

+C

[le

av

e)v

lsls

(+

V)

V

[[Jo

hn

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rpre

fer

[[+

Sg

)PR

ES

]T]

r it

]

[+c [

Bil

l]N

NE

G +

C [

leav

e)v

lsls

L

(+V

) V

L

<+

_S

}

N

[(Jo

hn

]N rp

refe

r [+

Sg

]PR

Es]

[+

C [

Bil

l]N

NE

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Page 119: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

-

Sen

ten

ce T

yp

e N

o.

41

Actu

al

str

ing

:

Deri

ved

str

ing

:

Bil

l w

ou

ld p

refe

r fo

r Jo

hn

no

t to

hav

e d

ream

ed

Bil

l w

ill

ed

pre

fer

for

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n n

ot

to h

av

e d

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en

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derl

yin

g s

tru

ctu

re:

----

#

NP

A

UX

I N

[Blu]

(+N

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Sg

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~

T

I I

[w

ill]

(+

M)

PA

ST

I

(Pre

fer]

L (

+V

)

p I N

EG

N

T

V

[JoLn

] I

I P

AS

T

[dre

am

] (+

N)

(+ V

)

(+S

~

Page 120: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

I 'I

Deri

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Fir

st

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cle

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oh

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Page 121: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

42

Actu

al

str

ing

: fo

r Jo

hn

no

t to

dro

wn

wo

uld

be p

refe

rred

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ved

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r Jo

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no

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wn

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l ed

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pr

efe

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re:

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DE

~

AU

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M

AN

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AR

T

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NE

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N

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[JoL]

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PR

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N)

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Sg

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Page 122: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

..

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Page 123: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

L:...

Sen

ten

ce T

yp

e N

o.

43

Actu

al

str

ing

: it

is r

eq

uir

ed

fo

r Jo

hn

to

sta

nd

Deri

ved

str

ing

: it

is r

eq

uir

e e

n f

or

Joh

n t

o s

tan

d

Un

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PR

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nd

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V}

Page 124: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

I •

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st

Cy

cle

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Page 125: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

Sen

ten

ce T

yp

e i

.-i :>

. 4

4

Actu

al

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Page 126: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 127: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

yp

e N

o.

45

Actu

al

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Page 128: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Fir

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Page 129: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

yp

e N

o.

46

Actu

al

str

ing

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hn

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e t

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Page 130: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 131: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

47

Actu

al

str

ing

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n t

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Page 132: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 133: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

48

Actu

al

stri

ng

:

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Page 134: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 135: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

49

Actu

al

stri

ng

: Jo

hn

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arr

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Page 136: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

-D

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Page 137: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

Sen

ten

ce T

yp

e N

o.

50

Actu

al

stri

ng

: Jo

hn

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pears

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hav

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all

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Page 138: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

-S

eco

nd

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Page 139: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

·" q t

Sen

ten

ce T

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Page 140: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Seco

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Page 141: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

1

Sen

ten

ce T

yp

e N

o.

5 2

Actu

al

stri

ng

:

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ved

str

ing

:

Joh

n m

ay

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ble

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l

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Page 142: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Seco

nd

Cy

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1.

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Page 143: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

I

Sen

ten

ce T

yp

e N

o.

5 3

Actu

al

stri

ng

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ved

str

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Page 144: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

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4

Page 145: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

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yp

e N

o.

54

Actu

al

str

ing

:

Deri

ved

str

ing

:

Joh

n. d

isli

kes

Bil

l an

no

yin

g M

ary

Joh

n d

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• B

ill

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no

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ng

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ry

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' N~

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l]

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no

y]

I (+

V)

rMary

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{+

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Page 146: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

... -,

Deri

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on

:

Fir

st

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cle

:

1.

X [

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dis

lik

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[Bil

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dis

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ill]

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UA

G

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4

Page 147: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

yp

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o.

55

Actu

al

stri

ng

:

Deri

ved

str

ing

:

Joh

n d

isli

kes

an

no

yin

g M

ary

Joh

n d

isli

ke s

an

no

y i

ng

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der l

yin

g s

tru

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re:

--===

====

=r==

====

====

=~----

----1

AU

X

I N

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Jo

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N)

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ES

[a

nn

oy

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(+

N)

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) I

L<

+S

g)

[Mary

] (+

N)

Page 148: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

X [[

[Jo

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P [

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cle

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4.

5.

6.

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F

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UA

G

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4

Page 149: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

4 S

en

ten

ce T

yp

e N

o.

56

Actu

al

stri

ng

:

Deri

ved

str

ing

:

Joh

n d

ecid

ed

on

go

ing

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n d

ecid

e e

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n g

o i

ng

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derl

yin

g s

tru

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re:

..... ------s----------------------------#

NP

I N

AU

X

I T

r---p

p I

[

Jo

hn

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N)

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I P

AS

T

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PR

EP

~

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N

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I N

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AU

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VP

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V

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I

[

Jo

hn

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N)

(+S

g)

PR

ES

[<!

~)]

I-

Page 150: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

.. -

Deri

vati

on

:

Fir

at

Cy

cle

:

1.

X ([

[J

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4

Page 151: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

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o.

5 7

Actu

al

stri

ng

:

Deri

ved

str

ing

:

Joh

n t

hin

ks

that

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l w

ill

go

Joh

n t

hin

k s

th

at

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tru

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:====

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== ~

* I

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) (+

M)

(+S

g)

Page 152: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

X [

[ f B

ill]

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[+S

g]P

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Cy

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Page 153: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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ten

ce T

yp

e N

o.

5@

Actu

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stri

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hn

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Page 154: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

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on

:

Fir

st C

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1.

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Page 155: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

59

Actu

al

stri

ng

:

Deri

ved

str

ing

:

that

Bil

l sm

ok

es

was

men

tio

ned

by

Jo

hn

that

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l sm

ok

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wa

s m

en

tio

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n b

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n

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derl

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1'

Page 156: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

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on

:

Fir

st C

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:

1.

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Y

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Page 157: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

60

Actu

al

stri

ng

:

Deri

ved

str

ing

:

Bil

l m

en

tio

ned

to

Mary

th

at

Joh

n s

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kes

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l m

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Page 158: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Deri

vati

on

:

Fir

st

Cy

cle

:

1.

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oh

nJ

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G

Page 159: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

61

Actu

al

stri

ng

: it

was

men

tio

ned

by

Jo

hn

th

at

Bil

l sm

ok

es

Deri

ved

str

ing

: it

was

men

tio

n e

n b

y J

oh

n t

hat

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l sm

ok

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Un

derl

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tru

ctu

re:

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Page 160: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

Deri

vati

on

:

Fir

st C

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:

1.

X [

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Seco

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Cy

cle

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4.

5.

6.

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Page 161: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Sen

ten

ce T

yp

e N

o.

62.

Actu

al

stri

ng

:

Deri

ved

str

ing

:

Bil

l te

lls

Mary

Jo

hn

sm

ok

es

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l te

ll s

Mary

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hn

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ok

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====

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ok

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)

Page 162: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Der·:

vat

ion

:

Fir

st C

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:

1.

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cle

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4.

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6.

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ill]

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it]N

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UA

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Page 163: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

,, I 1:

Sen

ten

ce T

yp

e N

o.

63

Actu

al

stri

ng

: B

ill

rem

ind

ed

Mary

to

go

Deri

ved

str

ing

: B

ill

rem

ind

ed

Mary

to

go

Un

derl

yin

g s

tru

ctu

re:

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AU

X

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min

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N)

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g}

p

of ~

s

l ,:L ]

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A

UX

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ary]

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~)]

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)

*

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Deri

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on

:

Fir

st C

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:

1.

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ary

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g)

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Ma

ry)N

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ES

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Seco

nd

Cy

cle

:

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ill]

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AS

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ind

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it

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ill J

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ind

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of]

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it J

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sg)

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ill]

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g)P

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T]T

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min

d]

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ary

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of]

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ill]

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d [

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ill]

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ind

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y)N

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64

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al

stri

ng

:

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ved

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ing

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derl

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trin

g:

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n t

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...

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Deri

vati

on

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1.

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ce T

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o.

65

Actu

al

str

ing

:

Deri

ved

str

ing

:

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n c

on

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en

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tru

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A

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N)

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T

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....

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I, '·

Seco

nd

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cle

:

1. z. 3.

4.

, 5

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2

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ij L

Sen

ten

ce T

yp

e N

o.

66

Actu

al

stri

ng

: Jo

hn

sto

ps

wo

nd

eri

ng

Deri

ved

str

ing

: Jo

hn

sto

p s

w

on

der

ing

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derl

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tru

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# -4

--

#

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PR

ES

NP

A

UX

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T

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N)

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RE

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I [

wo

nd

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V)

Deri

vati

on

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Fir

st

Cy

cle

:

1.

X [[

[Jo

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Y

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2..

X [

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ES

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Seco

nd

Cy

cle

:

1. 2.

3.

4. 5. 6.

[[

[ it

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on

de

r [[

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RE

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N

([ r it

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RE

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_S

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[[ r

Jo

hn

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P P

RE

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sto

p]v

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on

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ES

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[( r

Joh

n ]

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V)

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Jo

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P (

[+S

g]P

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Sg

) N

[

sto

p]

[-C

[w

on

der]

] 5

] 5

(+V

) V

.

(+V

) V

[[(J

oh

n]N

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[st

op

rr+

sg]P

RE

S]T

] [

[wo

nd

er

-CJ

lsls

(+

V)

V

(+V

) V

Po

st

Cy

cle

;

1.

[[[

Joh

n]N

]NP

[st

op

(s]T

]V [

(wo

nd

er

-Cly

ls1

s

2.

[([J

oh

n]N

]NP

[st

op

sly

[[w

on

de

r in

g]V

] 5] 5

T:C

P 1

T:E

XT

RA

T:P

RO

RE

P

T:A

G

T:T

S

T:A

F

T:N

UA

G

T:C

4

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I.

5. 0 Notes

1 In particular, see Noam Chomsky, Aspects of the Theory of

Syntax, ( Cambridge, 1965 ).

2 Cf. G. Lakoff, On the Nature of Syntactic Irregularity,

Indiana University Doctoral Dissertation, ( 1966).

3 Cf. Chomsky, Aspects ..• , Ch. 2.

4cf. G. Lakoff, On the Nature . . . .

5 Cf. P. Postal, 11A Note on 'Understood Transitively', 11 IJAL,

January, 1966, Vol. 32, No. 1, for discussion of.the identity condition in the transformational component.

6The rules for relative clause formation employed in the CG

are adapted from the more general formulation of S. Y. Kuroda.

7 The obligatoriness of the rule CP 1 is lexically determined.

8For discussion of the condition imposed upon the Identity

Erasure Transformation, Cf. P. S. Rosenbaum, 11A Principle Governing Deletion in English Sentential Complementation, 11

IBM Research Report, RC 1519, (Yorktown Heights, 1965). For a general discussion of sentential complementation in English, Cf. P. S. Rosenbaum, Grammar of English Predi­cate Complement Constructions, MIT Doctoral Dissertation, 1965, and "Phrase Structure Principles of Complex Sentence Formation in English," (in preparation), and "Transforma­tional Principles of Complex Sentence Formation in English, " (in preparation).

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9 For a transformation which must apply if the P-marker meets the structural conditions imposed by the structure index of the rule, e. g. , the Identity Erasure Transformation for Verb Phrase Complement constructions, the failure of this P-marker to meet the identity condition imposed on this transforma.tion must indicai:e an ungrammatical derivation. Such a ' iblocking" facility is not currently provided in the CG and the grammar, consequently, will generate ungram­matical strings. This facility is omitted at present pri­marily because it is not clear whether derivations should actually "block," (which is a simple enough matter to ac­complish, Cf. English preprocessor manual, Information System Language Studies Number Seven, Mitre Corp. , May, 1965, ) or whether derivations should more appro­priately proceed to termination becoming marked in the process either for legality or for illegality. The latter mechanism currently appears promising and will, in all probability, be incorporated into a later version of the IBM English Grammar.

...

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I , ,

, . ,

I • I

BLANK PAGE ..

· 1 I

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. - - -~- -- - - .

PART 11

"DESIGN OF A GRAMMAR TESTER"

D. Lieberman

This Part has been submitted for presentation at the Fall Joint Computer Conference, November 8-10, 1966, San Francisco, California

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Design ~ ~ Grammar Tester

Contents

Design Considerations

1. Automatic expansion of a grammar

2. Checking the legality of a derivation

3. Traces

4. Automatic comparison with expected result

5. Partially automatic update of a set of test sentences

6. Testing a sequence of variations of a grammar in one run

7. Grammar and test sentence maintenance

Input and Output Formats and Control Cards

i. Form of the grammar

2. Conversion of compact form to expanded form

3. Grammar update

4. Production of specified derivation and comparison with expected result

Present Status

. -- .,. .. -

Page

1

4

4

5

6

6

9

10

13

13

21

24

ZS

31

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1

The work described herein is the first step in a long­

range program to develop computer aids to linguistic research

and machine techniques to exploit linguistic theory in practical

applications.

Our immediate goal is a computer aid in the develop­

ment of a comprehensive and detailed transformational gram­

mar of English. This computer aid is intended to provide

material assistance to the grammarian and, at the same time,

to be a vehicle for the accumulation of initial experience in

linguist-computer interaction unde r conditions of half-day

turn-around time. Also, some initial information regarding

the programmer and machine resources (including running

times) required for this type of work will be obtained and will

be used in planning future work.

Design Considerations

The two main design considerations are : 1) what facil­

ities are necessary and/ or useful to the linguist, and Z) in

what form will these facilities be provided? In other words,

what will the machine do for the linguist, and what must the

linguist do for the machine?

There are many things, ran.ging from simple boot •

keeping to random generation of sentences, that can be done

by a computer operating on a grammar in machinable form.

In fact, there ha.ve been suggestions in the literature that

computers could perform what are usually considered to be

creative aspects of grammatical research. For example, it

has been suggested that a computer could be programmed to

accept some corpus as input and produce a grammar of the

-. ~-. --

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2

corpus as output, or could accept as input some corpus and its

translation into some other language, and produce a translation

algorithm as output. Whatever the merit of such suggestions

·may be (especially without the support of a theory of linguistic

universals), our approach is quite different and far less spec­

tacular as regards its immediate objectives. Rather than at­

tempt to revolutionize the manner in which linguistic research

is carried out, we accepted current methods as being basical­

ly sound and asked whether there were aspects of the linguist's

work which could be carried out more effectively (economical­

ly) or more extensively by using a computer. Although we did

not rule out the possibility that certain activities previously

considered creative might turn out to be routine and machin­

able, we looked first for obviously routine and tedious tasks

which could be done as well or better by a computer than by a

linguist,

The task we chose for immediate implementation was

the testing of a grammar. Specifically, given a grammar,

will it in fact generate the variety and complexity of sentences

and accompanying structural descriptions expected by the

grammarian? Moreover, will it correctly exclude all that it

is supposed to exclude? Exhaustive testing is, of course, out

of th~ question even with a computer. What we are interested

in is establishing the extent and type of testing required to

"check out" a grammar, and developing computer techniques

to facilitate the work.

The problem of grammar testing,or, more generally,

the characterization of the coverage of a grammar, has re­

ceived very little attention in the literature in the past, since

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3

it has not been a pressing problem. Transformational theory

has only recently reached a stage of development at which it is

feasible to use it as a basis for a comprehensive and detailed

grammar of English. Until recently, applications of transfor­

mational theory to descriptions of English have had as their

main objective the testing of the adequacy of the general

theory. The grammars actually produced we"re either detailed

descriptions of fragments of English, or were skeletal de­

scriptions of the main features of English syntax. Moreover,

these grammars served their purpose without requiring an

unreasonable amount of testing effort (either they were small

enough to be tested exhaustively manually, or they were in­

adequate in some way at a gross level and there was no point

i.n examining them i.n greater detail).

The situation i.s now quite different. Using current

transformational theory, we are able to write grammars

which are too big for exhaustive manual testing and at the same

time appear to be adequate at a very detailed level. The

grammar of English presented in Part I of this report is

just a bout at the limit of manual tractability, but it is far from

limitations imposed by the current state of the theory. Thus,

the use of machine testing procedures is not just highly de sir -

able, but appears to be a necessity for further expansion of

the grammar.

The basic test facility is the automatic generation of a

sentence. The input is a gr,arrunar and a specified derivation

(sequence of rule numbers), and the output is a sentence and

its structural descri.pti.on or a failure indication if the deriva­

tion could not be carried out. But if this were all that was

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provided for the linguist, it would probably be more of a

hindrance than a help. Eventually, experience will indicate

what sort of computer aids are useful a nd feasible, but even

at the present design stage it is clear that a number of addi­

tional facilities are required:

4

1. Automatic expansion of a grammar. In specifying a

derivation, it is not enough to specify rule numbers - -specific

subrule numbers must be specified. Thus, a facility is needed

to take as input a grammar in the usual notation (using braces

and parentheses) and produce as output a listing of the gram­

mar in which each • ubrule is explicitly displayed and uniquely

identified in some way. If this task were left to the linguist

and had to be repeated each ti.me the grammar was modified,

it would detract significantly from the over-all usefulness of

the computer aid.

z. Checking the legality of a derivation. The fact that

some specified sequence of rules led to a successful deriva-0

tion (an acceptable sentence and structural description) does

not guarantee that the grammar can actually generate the sen­

tence which resulted from the application of the specified

sequence of rules. The specified sequence may have violated

some traffic rule conventions in the grammar. For example,

a particular context-free subrule may have been specified,

but a context-sensitive subrule in the same main rule may have

been applicable at the time the specified rule was applied.

Thia would be a violation of the convention that, within each

main rule, the subrule1 form two main groups - -one context­

sensitive and one context-free--and the context-sensitive group

i1 considered to precede the context-free group in order.

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5

Similar violations can occur in the application of transforma­

tional rules. It is therefore necessary to include a facility for

checking the legality of a specified derivation as it is carried

out. Moreover, there should be various options available to

the linguist regarding the action to be taken if a specified deri­

vation is illegal at some point. As a minimum, there should

be two options--one to halt and one to proceed--with appropri­

ate comments regarding the illegality printed out in either case.

The reason for including a proceed option is that it may, at

times, be of experimental value to be able to determine the

result of applying a particular sequence of rules even though

the grammar in which they occur contains other rules which

would take precedence in a rigorous application of the grammar.

3. Traces. Thus far, the only computer output we have

mentioned (aside from printout of comments regarding illegal­

ities in specified derivations) is the final derived sentence and

its surface structure. All of the intermediate steps (the cur­

rent string and tree after ea.ch rule application) are readily

available, but,with the exception of the step at which the deep

structure is established, the status after each rule application

would be of interest only in special cases. It therefore seems

best to leave the extent of tracing as an option to be selected

for each derivation by the linguist. The choices are:

a. no trace,

b. complete trace- -the current string and current

tree are printed out after each rule application,

c. as called for--the current string or the current

tree or both are printed out after the application of

appropriately marked items in the specified

.,

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6

de ri va tion.

4. Automatic comparison with expected result. It can be

expected that during the early stages of testing of a grammar

most sentences will reveal some deficiency in the grammar,

and relatively few sentences will be generated correctly. The

trace facilities would be used heavily, and the proportion of

time spent in checking the final result for correctly generated

sentences would e small. However, as the grammar is cor­

rected and refined, a larger and larger number of sentences

will be correctly generated. But every time the grammar is

modified, even in a minor way, it will be necessary to re­

check a large number of sentences supposedly unaffected by

the modification. At this point, the task of manually checking

just the final results of the derivations could become a major

bottleneck in the use of the tester as a tool in the development

of a g~ammar. Thus, a facility for automatically checking the

final results (string and surface tree, and perhaps deep struc­

ture as well) appears to be highly desirable. This facility

should, of course, be optional. The input to the tester when

using the autom a tic check option would then be a grammar, a

specified derivation and a final string, a final tree, or both

(and appropriate control cards, as described below, to indi­

cate the selected option). The output would be simply a YES

or NO for each of the specified structures. Additional output

could be obtained simultaneously by selecting an appropriate

TRACE option.

5. Partially automatic update of a set of test sentences.

As the testing of a gramm.ar proce.eds, a collection of sen­

tences will be accumulated which could form a test set in the

- ''-=-•.:,,,.,....~-..-- --- - -------

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sense that derivations of the entire set would involve a very

large portion of the grammar. Such a set would probably be

7

of the order of about 100 sentences. A final string and tree

would be associated with each of the test sentences so that the

automatic checking option could be used. The grammarian

could simply scan the output for a NO result in order to find

the remaining few errors in the grammar. This would be a

very effective procedure when the grammar is developed to a

point at which 90% or more of the test sentences are correctly

generated (or correctly not generated- -the test ·set would pro­

bably contain not only legal derivations, but also specified

sequences of rules to verify that certain non-grammatical

strings are in fact suppressed by the grammar). However,

there is one drawback to the above procedure. Whenever the

grammar is modified, even slightly, in such a way as to di­

rectly affect only a few test sentences, a much larger number

of test sentences may be indirectly affected. By affected, I

mean that the specified sequence of subrule numbers which

represents the derivation of a particular sentence will require

modification. For example, suppose a new symbol were added

to the right hand side of constituent structure rule 1 as an op­

tional term, and that the selection of that item was required

in only a few of the teat sentences. Moreover, suppose that

the new symbol were rewritten as a string of old symbols in

the next rule (of the new grammar) and that no further changes 0

in the content of the rules were necessary. Then the new

grammar would be related to the old as follows:

Rule 1 would have one r more new aubrules.

Rule 2 would be entirely new.

,,,

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8

Rule 3 would have the same content as Rule 2 in the old

grammar, and in general rule i in the new grammar would

have the same content as Rule i-1 in the old grammar for

i > 3.

This means that just about every single rule number in every

specified derivation representing the set of test sentences

would have to be changed. If this had to be done manually, the

advantages of having a set of test sentences would be largely

nullified. Fortunately, most of the modification required in

this example can be done automatically by keeping track of

added (and, in general, also deleted) rules during grammar

update and establishing a mapping from old rule number to new

rule number. In this example, the mapping would be:

(Rule i) ld -(Rule i+f) for i > 2. The mapping could then o new -

be applied to the set of specified derivations representing the

set of test sentences to modify all occurrences of relevant rule

numbers (i ~ 2) appropriately.

In the above example, we considered the automatic

establishment of a mapping involving only subrules within main

rules whose content was not affected by the gramma!" modifica­

tion. The mapping can be carried further to include those sub­

rules within a modified main rule whose contents are not af­

fected by the modification. This can be done by expanding the

modified main rule, comparing the resulting collection of sub­

rules with the original collection of subrules, and establishing

a mapping between subrules with identical content before and

after the modification. The mapping applied to the l!let of test

sentence• would then be a resultant mapping obtained by com­

bining the main rule mapping and the subrule mapping.

=----

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9

It should be mentioned again that the updating of the set

of test sentences cannot be fully automatic. However, a large

amount of updating can be done autornatically and it is essential

that provision for such facilities be included in the design of

the grammar tester.

6. Testing a sequence of variations of a grammar in one

run. Thus far, we have discussed facilities for testing one

grammar at a time. The procedure would be somewhat as

follows:

carry out a testing run;

examine the results and prepare modifications;

carry out an update run on the grammar and test

sentences;

complete the updating of the teat sentence, specified

derivations,and expected results manually where necessary;

carry out a new testing run;

etc.

This procedure will be effective only if, after each testing run,

it is of interest to apply only one set of modifications to the

grammar. But if it is desirable to try several alternatives,

the above procedure would be too cumberaome since it would

require either a long series of, runs or else the maintenance

of several complete copies of the program, grammar, set of

test sentences, and any other sentences being studied.

A limited amount of simultaneous testing of several

variants of a grammar can be achieved by using the update

facility described in (5) above, and making provision for a

sequence of tests and update• in one run. It should be possi­

ble to apply the various update• to either the original grammar

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(the input grammar at the start of the run) or to any of its up­

dated versions (formed earlier in the run). This can be done

by labeling each version of the grammar as it is formed and

including with each update the name of the grammar to which

it is to be applied. From the programming point of view, this

requires the construction of a primitive supervisory facility.

10

The extent to which this facility for experimenting with

several variants of a grammar simultaneously can be used is

limited because, as noted above, updating of test derhrations

can·:1ot, in general, be fully automatic. However, it will be

possible to carry out some updates completely automatically,

and even when the automatic part of the update is not complete,

it may be sufficient to permit useful experimentation to be

carried out. In particular, specified derivations which are

supposedly not affected (except for renumbering) by a given

modification can be tested even if the updating of other deriva­

tions must be completed later manually. Since it will often be

easier to foresee the effect of a modification on a small prob­

lem area than on the remainder of the grammar, the testing

of supposedly unaffected portions of the grammar will provide

a very useful preliminary evaluation of the correctness of a

modification. Thus, it appears to be quite worthwhile to in­

clude planning for this type of facility in the initial design

consideration.

7. Gram.mar and teat sentence maintenance. The gram­

mar tester will perm.it almost continuous experimentation

with and modification of the grammar. In fact, it may be pos­

sible to develop a grammar along several different lines, or,

in effect, to develop several grammars simultaneously. A

··· • ... ------

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11

vast amount of material will be produced as the grammar de -

velopment proceeds, most of which will be of only transitory

interest. The relatively small portion selected for temporary

or more or less permanent retention will still be voluminous

enough to require machine aids in its management. The num­

ber of simultaneously active grammars or variants s } 1,Juld be

limited only by the grammarian's ability to handle them effec­

tively from a linguistic point of view, and should not be limited

by storage and retrieval problems associated with the use of

the computer.

Every grammar can originate as an update. Even if an

entirely new grammar is being loaded from cards, the system

can be initialized with a null grammar and the grammar being

loaded can be treated as an update of the null grammar. The

same holds for the set of test sentences corresponding to the

grammar. The control parameters of the update run (or up­

date portion of a run) will be used to as sign a label to the

grammar and to indicate whether the grammar is to be saved.

The set of test sentences will be handled similarly. The con­

trol parameters of the test portion of the run will be us~d to

indicate whether the results of the test are to be saved on tape

or just printed out. The reason for saving the re1ults is that

it may turn out, in the future, to be useful to scan the tapes

by machine to find grammars with particular properties with

respec"t to certain test 1entences. After the automatic update,

that portion of the updating of the set of teat sentences which

could not be done automatically will be completed manually and

the tape will be corrected by a special program. Provision

should also be made for allowing notes and comments to be

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• I

saved along with the grammar. Thus, maintenance programs

are required to:

select a specified grammar from the ou tput of an update

and/ or test run;

select the associated set of test sentences;

add manual corrections to the updated test sentences;

select the results of a test of the grammar;

form a unit consisting of the above items and any comments

provided by the linguist.

12

The above discussion was concerned with the first of

the main design considerations mentioned at the beginning of

this section of the report, namely, what facilities are neces­

sary and/ or useful t o the linguist. Now let us consider the

second--:-in what form will the facilities be provided to the

linguist? The alternatives range from a high-level linguistics -

oriented programming language which would be used by the

linguist to program the facilities he desires to a single pro­

gram package with all facilities built in and not modifiable by

the user. We chose the latter extreme alternative, because

when the various factors affecting the choice, such as pro­

grammer'• time, Unguiat'• time, ease of modification of the

program, economy of machine utilization, etc. were consid­

ered, there turned out to be one .overriding fact, namely, the

extreme scarcity of transformational grammarians at present.

Thus, the basic design principle was to make as little demand

as possible on the linguist for non-linguistic work. This

meant not only that the linguist ahou1d not be required to pro­

gram, but also that he should be able to write grammars in

the format which has been developed by the transformational

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13

school. Of course, some special format convention• will b C'

required to achieve machinability, but even here convenience

to the linguist should be given more weight than convenience to

the progranuner or the machine.

Input and Output Formats and Control Cards

1. Form of the granunar. Each line of the grammar is

punched on a separate card. If a line is too long for one card,

a continuation card is used. The card preceding a continuation

card will have a C in column 77.

The type and number of each main constituent structure

and transformational rule will occupy a line of its own, and

will start in column 1. Some typical rule labels are CS 15 or

UT 7 or BT 3, where CS, UT and BT represent constituent

structure rules, unary transformations and binary transforma­

tions, respectively. The rule label may be followed after one

or more spaces by a mnemonic label. No restriction is placed

on the number of space• between the rule label and the mne­

monic, but the mnemonic must be on the same card.

All symbols which can appear on the left side of a CS

rule will consist of from 1 to 5 contiguous alphabetic or nu­

meric characters, i.e., no special characters will be used

within such 1ymbols. The first character will be alphabetic,

but the remaining may be mixed alphabetic and numeric.

There will be a special set of 1ymbols called sentence

boundary symbol• which will start with a special character,

preferably # if it ii available on the pririlter.

The manu• cript notation - will be replaced by = and

the manuscript brace will be replaced by two asterisks, one

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.. 14

marking the upper end of the brace and one marking the lower

end. Thus,

A

B

C

D

will be replaced by

*A* B

C

*D* In the manuscript format, a line of symbols outside a brace is

positioned at the center of the brace. In the input format,

such lines will be "justified" upward to correspond with the

top of the brace. Thus,

AB

·c AB*C*

D D

E

F

will be replaced by E

*F*

Also, in the manuscript format, braces on the same "line" are

positioned so that their midpoints are at the same level. In

the input format, braces on the same "line" will be justified

upward so that their upper ends will be on the same line. Thus,

AB (

·c

D

E

F

) GH {~>} will be replaced by

AB(*C*)GH*(I)*

D

E

*F*

Note that parenthe1e1 in the manuscript format will remain as

parentheaea in the input format.

In the manuacript format, trees are drawn with the

root at the top and with deacendents below their ancestors and

usually po1itioned m.ore or le11 aymmetrically with respect to

their ance1tor. In the input format, the root will be at the

left, desce;ndent1 will be to the rir: t of their ancestor•, and

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the descendent& of a node will be positioned such that the top­

most descendent (rightmost in the manuscript format) will be

on the same line as its ancestor. Thus,

A

D

will be replaced by

A J M

L

I K

G

B F

C E

D

In the manuscript format for context condition•, the

poaition of the aymbol on the left-hand side of the rule is

usually indicated by a dash. In the input form, three con­

tiguous asterisks will be uaed.

The initial strings will be represented in the same

forrr1at as CS rules. The rule label will be STRT and the rule

type will be INST. The grammar may start aa follows:

STR T INITIAL STRINGS

INST i = A • B • F CD

*E • The CS rules will follow. A typical form ia illustrated below,

and the symbol• L:'/n and TIF/n are dilcus • ed following the

ts

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illuatrations.

cs 15

A= B • C (•DS1 E*) IF/1 F • (G) IF/Z

H TIF/1

•I JSZ•

K S3 TIF/Z

•LMIF/3(N)S4 • IF/1+ ST•••

IF/Z- T ••• U

IF/3+ ••• u TIF/1- PQR

D •••

EF

TIF/Z+ X y •••

16

Conte xt-sensitive rules are represented by placing an

IF· statement immediately following a symbol, a right paren­

thesis or a right brace, U the IF statement immediately fol­

lows i . symbol, it i• associated with all subrules involving

.selection of the occurrence of that symbol. U the IF statement

immediately follow • a right parenthesis or right brace, it is

a • aociated with all subrules involving the selection of any

aymbol which occur• between the right parenthesis or brace

and it• correaponding left parenthesis or brace. Since the

inclusion of complete IF statements at several points in a main

rule would be unwieldy and would considerably reduce the

tranaparency of the main rule, only ·a reference to an IF state­

ment is included directly within the rule, and the complete

statement i• Hated below the main rule. The reference con­

sists of a slaah followed by a number followed by a + or - sign,

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1. 7

for example, IF/ 3+. The + sign means that the context must

be present, and the - sign means that it must not be present.

In addition to the usual context-sensitive condition re­

presented by IF/n, we have included a special device repre­

sented by TIF /n. Thia is a context condition which permits

reference to the current tree and not just the current string.

This special device is a fundamental violation of the theory

since it effectively does away with the constituent structure

part of the grammar by making it essentially transformational.

Thus, the TIF would not be used in a grammar which is in­

tended entirely to be an expression of or a teat of the theory.

It is included in the design because it may turn out to be a

useful ad hoc device in extending the grammar for practical

application•.

The trees in the TIF statements are not necessarily

complete subtrees of the current tree (where a complete sub­

tree consi1ta of a node and all that it dominates, but may

specify only relevant parts of a tree. For example, TIF / Z+

in the above illustration says only that A must have Y as an

immediate ancestor . and Y must have X as an immediate an­

cestor, but say• nothing about poa1ible siblings of Y.

The format for complex symbol• is more flexible than

required for the particular form of lexicon we are developing

as part of the grammar. The feature part of the complex e

symbol can be treated either as an ordered vector or as an un-

ordered collection of symbols, i. e., each position in the vector

can be named and referred to by name. Each complex category

type will have a feature vector of specified length and an aux­

iliary table containing names for some or all of the vector

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positions. If a position is not given a name, it automatically

takes its number a1 its name. Named positions can also be

referred to by their position number. For example, if N is a

complex symbol, its auxiliary table might have the form

Complex Symbol

N

Vector Position Number

1

z 3

4

5

6

Position Name

ANIM

HUM

CONC

PROP

COL

Each vector poaition can be filled by a string 1)f characters,

although our preaent type of lexicon requires only a plus

or minus in each position. In the examples below, a single

character will be uaed.

A complex symbol can have one of the following forms:

i. pure ordered vector

N [ H, K, +, -, T, - ]

ii. pure table reference

N//CONC = +, ANIM = H, 4 = -, COL= -, PROP= T,

HUM= Kl/

Note that the entries are unordered.

iii. mixed

N [, K, , -, , ] // PROP = T, COL = -, ANIM = H,

CONC = +II

where again, the entries within the double 1la1hes are

unordered.

18

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The input format for transformational rules uses three

lines: the first line is the structural index, the second line is

a consecutive numbering of the items in the structural index,

and the third line indicates the structural change. Each item

in the fir•t line defines a column running through all three

lines, and the corresponding entries in lines Z and 3 are left­

justified with respect to the column. Thus, the manuscript

format

ABC DEF IJ KL M ====> 3 0 P+3+1+Q 5 1 1 Z 3 4 5

will be replaced by the input format

ABC DEF IJ KL M

t

3

2

" 3 4

P+3+t+Q 5

5

t

Conditions imposed on transformational rules are

19

called WHERE statements herein. The first line of each

WHERE statement will have WHR beginning in column 4, fol­

lowed by any number of spaces (but not going to a continuation

card) followed by a "+" or a "-" followed by a code (CXT or

FTR) followed by a apace followed by either one number or by

two number• separated by a comma, where the numbers refer

to the structural index. The + and - indicate that the condi­

tion mu1t or muat not obtain, respectively. One number is

u1ed when we wiah to specify the context (CXT) or feature

(FTR) content of the item indicated by the number. Two num­

ber• are u1ed when we wiah to compare the contexts or feature

contents of the two item• indicated by the two numbers. In this

latter ca1e, only the + 1ign may be used.

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zo

The actual statement will start in column 7 of the next

line. The following examples illustrate the various forms of

WHERE statements (where BAK, BIK, BOK represent complex

symbol position names).

WHR +CXT

A B

3

C

D [, , E, , +] // Z6 = F, BIK = G, 19 = -//

••• H

I [ , J, - ] // BIK = K, 1 = L //

The asterisks indicate the position of the item labeled

3 in the rule.

WHR -FTR 3

[, , A, B] // 14 = C, BAK = DI/

WHR +CXT 3, 5

••• A

Bl/ 1, 5, BIK, 37 //

WHR +FTR 3, 5

// Z, 8, 9, BOK, BIK, 17 //

WHR +FTR 3, 5

II Z, 5// LX

In the last example, LX stands for any lexical item and

indicate, that features Z and 5 of lexical items 3 and 5 and the

lexical item• themselves muat be the 1ame. If all the features

must agree, we will write

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WHR +FTR 3, 5

// ALL //

Note that when features are to be compared, we indi­

cate only the poaitions to be compared, not the content of the

variou1 poaition1.

21

The grouping of the unary tranaformations will be indi­

cated by uaing the 1ame rule number for all transformations

in a given group. If a group is optional, the rule number will

be followed by a - sign. The ordering and identification• of

the tran•formation• within a group will be indicated by a num­

ber separated from the rule number (and "-" sign, if present)

by a 1la1h. Thu1, we may have the following sequence of

unarie1:

UTi

UTZ/1

UTZ/Z

UTZ/3

UT3

UT4-/t

UT4-/Z

UTS

2. Converaion of compact form to expanded form. The

input i1 a grammar in the form deacribed above and control

card• (deacribed below). The control card• indicate that the

de1ired operation i• Conversion, and also indicate whether

both main rule • and subrules or juat aubrules are to be printed

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22

out, and whether the conversion is to be applied only to CS­

rules or to transformational rules as well. If printout of main

rules is selected, the output should give each main rule exactly

as in the input, followed by its s ubrules.

The CS-subrules should be grouped according to the IF

(but not the TIF) statements associated with them, and the

groups should be ordered in order of increasing IF number.

In general, there may be &.?veral IF' s asso_ciated with a given

rule. A set of rules forms a group only if they have exactly

the same set of associated IF statements. Groups character­

ized by multiple IF' s are ordered as follows: groups w · h an

IF/ 1 will pre cede groups without an IF/ 1. Among all groups

with an IF/1, those with an IF/2 will precede those without an

IF/ Z, etc. To illustrate, suppose some main rule has four

IF' s in it, and suppose that all combinations of IF' s occur,

then the groups would be ordered as follows:

IF/1 IF/Z IF/3 IF/4

IF/1 IF/Z IF/3

IF/i IF/Z IF/4

IF/1 IF/Z

IF/1 IF/3 IF/4

IF/i IF/3

IF/i IF/4

IF/1

IF/2 IF/3 IF/4

IF/Z IF/3

IF/2 IF/4

IF/2

IF/3 IF/4

- ~-~-----... -

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IF/3

IF/4

no IF'a.

23

Vfithi1' each group, the rules are unordered as far as

the traffic rules are concerned, but in the printout, they should

be ordered alphabetically.

After the subrules are grouped and alphabetized, they

should be printed out in the following format: the first line

gives the main rule name and number starting in column 2, and

after three spaces a G followed by a group number assigned

consecutively by the conversion program. Then, starting in

column 25, the associated IF statement will be given by an IF/

followed by one or more numbers in increaEing order (sepa­

rated by commas, if mo:re tMn one number). The next line

will give subrule number i starting in column 4 with the main

rule number (but not nam,?) followed by R followed by i. The

subrule itself will 1tart in column i 3. li subrule Z is in the

same group, it will come on the next line, For example, the

first three lines of Rule i 7 may ~-p:f>ear as follows:

CS1.7 Gi IF/1.,2,4

i7Ri

17Ra

A=BCD

A=BF

If subrule 3 i.s in group Z, we woi:.ld then have

CS17 GZ IF/1., 3

i7R3 A=BC

In the printout, a space should be left between the last line of

one group and the fir1t line of the next. Any TIF statement

references a1sociated with a aubrule will follow the subrule

in the same line, with at lea1t twelve spaces between the laat

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;

character of the laat symbol and the TIF reference, but the

TIF reference ahould start no earlier than column 103.

The full IF and TIF statements should follow the last

aubrule in the aame format as in the input. If the main rule

aa well aa the aubrule is printed out, the IF and TIF atate -

ments need appear only after the last subrule and not also

after the main rule.

If a "line" does not fit in one line of printout (u&Sing

1 Z0 columns) it should be continued on the next line starting i.n

column 16 if it is part of a subrule, and in column 106 if :tis

part of a TIF reference.

Z4

3. Gran1n~-:-- update. The input is a grammar in the cora­

pact form and one or more of the following ordered types of

control cards and associated data. The first control card in­

dicates that the d.eaired operation is grammar update.

Type 1. The purpose of this type of update is to re­

place some symbol everywhere it occurs by some other sym­

bol. The control symbol and the data are on the same card.

The control aymbol REPSYM starts in column 1 followed by

any number of apaces followed by a symbol followed by any

nwnber of apace• followed by a ayrnbol, but all three items

must be on one card. The interpretation ia that the first sym­

bol ia to be replaced everywhere by the second. If more than

one replacement ia desired, a separate card ia used for each

one.

Type Z. Thia is to replace an entire rule. The con­

trol aymbol (a tarting in column 1) is REPRUL followed by any

number of apace• followed by a main rule name and number.

The replacement rule start• on the next card and is expressed

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25

in the input format described above. U more than one replace­

ment is desired, each ia preceded by an appropriate control

card.

Type 3. This is to delete an entire rule. The control

•ymbol (starting in column 1) is DELRUL followed by any num­

ber of spaces followed by a ma in rule name and :\urr .. ber.

Type 4. This is to add an entire rule. The control

card is like that for REPRUL except that the control symbol

will be ADDRUL. The rule to be added starts on the next card

and is in the input format.

'V/hen rules are added or deleted, the rules following

the point of insertion or deletion will have to have their rule

numbers updated appropriately. This updating should not be

done until all additions and deletions have been carried out,

since the point of insertion or deletion is defined in terms of

the pre -updated grammar.

4. Production of specified derivation and comparison with

expected result. The following options are possible:

Input compact format, or

Grammar expanded format, or

Format result of updating in the same run

Traffic

Rule•

Deletion

Special

Devices

{ {

{

blocking, or

non-blocking

immediate, or

delayed

use TIF's

do not u1e TIF1 1

. . - - --- ---,----

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Illegality

Trace

Comparison

{

stop, or

continue

none, or

all stringJ, or

all trees, or

all string• and all trees, or

as called for

none, or

final string, or

final string and final tr~e

26

The first control card will have PROD followed by one

or more blanks followed by the identification title of the gram­

mar to be used. The next card will have MODE in columns

1- 4. Selection of options will be indicated on the MODE card

as follows:

Col. 7- 9 for grammar format:

CMP for compact format

EXP for expanded format

UPD for re1ult of updating in the same run

Col. 13-15 for traffic rule1:

BLK for blocking grammar

N(7)N for non-blocking grammar

Col. 19-22 for deletion:

IMMD for immediate deletion

DLYD for delayed deletion

Col. 25-28 for 1pecial device•:

TIF for use TIF' s

ION for ignore TIF' 1

-~- .. - -·- -' ~---------·---- ~~

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Col. 3i-34 for illegality:

STOP for stop

CONT for continue

Col. 3'/-40 for trace:

N0NE for none

STRG for all strings

TREE for all trees

STTR for all strings and all trees

CALL for as called for

Col. 43-46 for comparison:

N0NE for none

STRG for string

STTR for string and tree

The MODE card is followed by a sentence identification

card. The identification starts with an 5- in columns f-2 fol­

lowed by any number of alphanumeric characters, including

blanks, but not going beyond column 42.

Z7

If a comparison string and tree is included, the next

card will have EXP STRG starting in column 7, and the fol­

lowing card will contain the string in the input format. Fol­

lowing the string will be a card with EXP TREE starting in

column 7, and the tree will be given on successive cards in the

input format.

After the above card• (if present) cornea the specified

derivation. I : is introduced by a card with DERIV starting in

column 4. The sequence of rule• (actually subrule1) starts on

the next card, and ii given one rule to a card, with a • equence

number • tarting in column i 3 and the rule name and number

starting in column ZS. Each rule may be followed (after any

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number of apace1) by either STRG, TREE, or STTR. If the

trace option is CALL, the current string, tree, or both will

be printed out after application of a rule followed by STRG,

TREE, or STTR, respectively. If in any other trace mode,

the• e 1ymbols will be ignored.

The next card is an output control card permitting op-

tional selection of one or more of the following for printout:

Input control card

Output control card

Record of illegalities

EXP STRG and aasociated string

EXP TREE and associated tree

DERIV and associated sequence of rules.

ZS

Printout of traces is not optional. If a trace is ob­

tained, it is automatically printed out. Also, if a comparison

i1 made, the result• (YES or NO) are automatically p1 inted out.

The output control card has OUTPUT in columns 1-6.

The print out selections will be indicated as follows:

Col. 13-16

MODE

blank

Col. 19-ZZ

OUTP

blank

Col. ZS-ZS

ILLG

blank

for input contr<,l card

print out MODE control card (in input format)

no printout

for output control card

print out output control card (in input format)

no printout

for Ulegalitie1

print out record of illegalitie1 (in format

deacribed below)

no printout

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Col. 3i- 34

EXST

blank

Col. 37-40

EXTR

blank

Col. 43-47

DERIV

for expected string

print out expected string (in input format,

starting with the EXP STRG card)

no printout

for expected tree

print out expected tree (in input format,

starting with the EXP TREE card)

no printout

for specified derivation

print out specified derivation (in input format,

starting with the DERIV card)

blank no printout

The various items printed out are ordered as follows:

Grammar identification

Sentence identification

Z9

Results of comparison. These are printed out on

the same line as the Sentence identification, as follows:

Starting in column 55: STRG followed by two blanks

followed by YES or NO (for match or not match, re­

spectively);

Starting in column 7 3: TREE followed by two blanks

followed by YES or NO.

MODE Control Card

Output Control Card

Record of illegalities - RECORD OF ILLEGALITIES

is printed out, starting in column i, and then separate

lines are used for each illegality, with each line con­

taining the appropriate rule sequence number and rule

name and number as in the input format, followed,

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I I

• tarting in column 37, by a statement describing the

illegality (for example, 9RZ3 WAS APPLICABLE, or

9RZ3 WAS NOT APPLICABLE).

EXP STRG and associated string (in inpu.t format)

EXP TREE and associated tree (tn input format)

DERIV and associated sequence of rules (in input

format)

Traces - in the order obtained. For each trace,

TRACE is printed, starting in column 1 followed on

the same line by the rule sequence number and rule

name and number (in input format) which "triggered"

the trace, On the next line, STRING is printed,

starting in column 4, and the current string is printed

on the next line in input format. Then, on the next

line, TREE i1 printed, starting in column 4, and the

tree is printed out in input format, starting on the

next line.

The control card for the Conversion operation has

EXPAND in columns 1-6 followed by one or more blanks fol­

lowed by the identification of the grammar to be expanded.

The next card indicates what is to be printed out and what is

to be aaved on tape, This card has DISP in columns 1-4 and:

Col. i 3-18 PRCOM for print only compact grammar

PRXPND for print only expanded grammar

30

PRBOTH for print both (in format described

above)

Col. ZS-30

blank

SVCOM

for print out neither

for • ave only compact grammar

on tape at end of run

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SVXPND

SVBOTH

blank

for save only expanded grammar

for save both

for save neither

31

The control card for the Update operation has UPDATE

in columns 1-6 followed by one or more blanks followed by the

identification of the grammar to be updated. The next card

assigns an identification title to the updated grammar. It has

IDENT in columns 1-5 followed by one or more blanks followed

by an identification title. The following card indicates what is

to be printed out and what is to be saved on tape. This card

has DISP in columns 1-4 and:

Col. 13

Col. 25- 30

Col. 37-41.

Present Status

PRUPD

blank

PRPRE

PRPOST

PRBOTH

blank

SVPRE

SVPOST

blank

print out update cards

do not print out update cards

f.or print out pre -updated grammar

for print out updated grammar

for print out both

for print out neither

save pre-updated gramm:?. •~ on tape

save updated grammar on tape

save neither

The programming done thus far is described in detail

in Part III of thil report. The basic routines for automatic

expansion of a grammar, for carrying out a derivation, for

checking the legality of a derivation, and for providing traces

are running, However, the present program does not as yet

include provisior, for context restrictions (WHERE statements)

on transformational rules. Also, the input and output formats

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being used at pre1ent do not yet conform to the specifications

described above, which were designed with convenience to the

linguist in mind. The present formats are still in a form con­

venient to the programmer for debugging purposes.

32

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PART III

PROGRAMMING OF THE GRAMMAR TESTER

F. Blair

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Programming ~ the Grammar Tester

Contents Page

1..0 INTRODUCTION 1

1..1 Compiler 1

1. 2 Derivation Tester 2

2.0 FUNCTION DESCRIPTIONS FOR THE 2 GRAMMAR COMPILER

3. 0 FUNCTION DESCRIPTIONS FOR THE 14 DERIVATION TESTER

4.0 ON MATCHING ARBITRARY PROPER 27 STRINGS IN TREES

4. 1 Introduction 27

4. 2 Pattern Specification 30

4. 3 The Function Properanalysis 32

4. 3. 1 Literal match 32

4. 3. 2 Back-referenced match 32

4. 3. 3 Indefinite pattern or 33 "Dollars" match

4. 3. 4 The pattern ele~ent NIL 33

4. 3. 5 LISP Functions for pattern 33 matching

4.4 Some More General Comments on 34 Matching Proper Strings in Trees

4. 5 The Question of Efficiency and the 35 Combinatorial Problems Involved

4.6 Conclusion 36

REFERENCES 37

FIGURES follow 37

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APPENDICES

A, I PRINTOUT OF AN INPUT GRAMMAR (From Gutsin [] )

A, II PICASO PRINT OF S-EXPRESSION FOR AN EXPANDED GRAMMAR

A, III LISTING OF THE PUNCHED CARDS FOR THE S-EXPRESSION FOR THE EXPANDED GRAMMAR

B SAMPLE DERIVATION TEST

C SELECTED EXAMPLES

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•'· I

"i:,11111111_•;111!!\S!ll!,!!!!!!!"!-•t!!II. -a--------;;w-...--~,-~ ..;"l .

BLANK PAGE .... .

, ,, '' I

,, "'r~~~~ .?---1~~ - _.....,.,.., ·"' .... _--It""""

.,

t

.,

1.

I I

,,, 'r l

t 1

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1

1. 0 INTRODUCTION

This part of the report describes the implementation of a

process for compiling and updating transformational grammars

and a process for testing such grammars. Both processes

were written in LISP 1. 5[3

] and some knowledge of that lan­

guage will be presumed in these notes.

1. 1 Compiler

The Compiler facilities provide a notation and a transla­

tion-expansion procedure for converting an input grammar on

punched cards into l:in expanded grammar, which is in the form

required by the Derivation Tester. The notation of the input

grammar is described elsewhere in this report. Figure 1 pro­

vides a description of the conceptual organization of the trans­

lation-expansion procedure. Figure 2 gives a more detailed

outline of the flow of control of this process. The reader who

wishes to follow the flow of control further is directed to the

individual function descriptions (Section Z).

The output of this process, the expanded, translated, and

.updated grammar, is a LISP s-expression[3]_ The conceptual

form of the a-expression is that of a tree structure, e.g.,

ds _f I y 1 2

I

1 2 •••

I 1 2 •••

I VP= V NP

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2

Appendix A contains a sample input grammar, a printout of its

expanded form, and the a-expression for the expanded form.

1.. 2 Derivation Tester

Within this system, testing a grammar is a conceptually

simple process of checking whether it will generate the struc­

tures that it is intended to produce. In order to accomplish

this objective, the user must specify for each structure the

sequence of rules which he hypothesizes should be applied in

order to produce it. A deck of cards, known as the Derivation

Test Packet, with one rule number per card, is used for this

purpose. Figure 3 Ulustra.t s the process of testing a given

expanded grammar. Figures 4 and 5 illustrate, in much

greater detail, the flow of control during testing. Still great~r

detail ia provided in the function descriptions(Section 3). As

part of the program for derivation testing, some functions

were created to accomplish the matching of proper analyses

in structure trees. These functions, which are of rather

general interest, are discussed in Section 4 below. Appendix

B includes printouts of several sample derivations.

Z. 0 FUNCTION DESCRIPTIONS FOR T: .. 'iE GRAMMAR COMPILER

z. 1. Pica so [ ~; !!] Arguments: x is any s-expression[3] to be printed.

n is the number to be assigned to the

current level. (initially, usually i)

Description: Prints x in a form where substructures are in­

dented according to their depth. The depth number is also

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printed. Used to print the a-expression for the expanded

grammar.

Requires subfunctions: Dopnt, Leonardo, Prtchar 1.

Example: See Figure Z

Remarks: For best results, the verbosity of the garbage

collector[3] should be suppressed.

Z. Z Dave []

3

Description: Sets the free variable expgrm to the value of the

function Gutain []; that is, the a-expression for the ex­

panded grammar.

Remark: See Figure Z

Z. 3 Gutsin [] (Grammar Update and Test System INput translator)

Description: Reads input cards representing the rules 1:>f a

grammar until an ENDOFALL card is encountered, at

which time it returns as value the cumulative expansions

of these rules. Thia accumulation of rules is referred to

as the a-expression for the expanded grammar. The new

rules are accumulated on the a-expression expgrm which

may be set to an existing grammar for updating purposes

or may be initially set to ((CS)(UT)(BT)(STRT)) - the

headings for Constituent Structure rules, Unary Transfor­

mations, Binary Transformations, and the set of initial

strings, respectively. The schematic in Figure Z illus­

trates the reading of these rule types by Read6 [] and

their subsequent processing within Gutsin [ ].

Requires: Read6, Buread, Transf, Stots, Treescan

Remark: See Figure 2

---- - -

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4

Z.4 Read6 []

Description: Reads one card record from the current input

device (7Z columns). Returns as value a list of symbols on

the card. Any string of alphabetics or any string of numer­

als separated by commas or blanks constitutes a symbol to

this function. Used for reading IF rules*, rule names,

control cards, and derivation cards.

Z. 5 Buread [~]

Argument: x is vacuous; that is, it is an artifact of a pre­

vious version of the function which survived to this time.

Description: Causes one Bracket-expression form to be read

from cards, translated, and expanded. Returns as value

the grouped, sorted, and expanded corresponding B-expres­

sion. This is the main function for processing CS rules.

Has the effect of filling the character matrix Ai and passing

control to Bureadi . .

Requires: Carrcharray, Bureadi.

Remarks: See Figure 2; see also Appendix C.

2. 6 Bureadi [ 3)

Argument: .?! is the greatest depth, in cards, of the current

Bracket-expression form.

Description: The character matrix Ai (~; 72) contains the

Bracket-expression form. This array is printed by

Printarray. The Scan function creates the corresponding

B-expression for the form. Thus, a B-expression is the

representation of a Bracket expression as an a-expression.

The B-expression is expanded, then grouped and returned

in a form for attachment to the current grammar.

•IF rules express context restrictions on the current string .£!·

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Requires: Printarray, Mkpairsfrmgrp, Group, Expandr,

Scan,

Z. 7 Scan [ i; l; ipu; ip.t; 1E!_; i.e!_]

Arguments: i = the current row index

l = the current column index

ipu = the present row upper limit

!P! = the present row lower limit

JE!_ = the present column right-hand limit

JE! = the present column left-hand limit

Description: A function which is used to translate that part

of the matrix (Ai) of character elements A 1 (_!,; 1) frorn ipu = ( i present upper) to ip.l = (_!, present lower)

and if!_ = (1 present left ) to J.e!:_ = (1 present right),

which constitutes a well formed Bracket-expression, into a

linear S-expression form called B-expression. The

translation replaces:

Bracket-expression+

* • and

(A)

-with- B-expression

(ORR A B .•• )

(ORR A XO)

Requires: Scanbox, Par, Mkatom

Example: Bracket-expression

R16 *

*

* •

ONE

INT TOT

* IFPL * (OTHER) (REL CMP)

• *

+ The braces implied by the four asterisks (the "asterisk box") are included in the figure for purposes of legibility, but do not actually appear in the input or output of the system.

5

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becomes: B-expresaion

( (R16 ( (ORR ( (ORR INT TOT) IFPL) ONE) ( (ORR OTHER

XO) (ORR (REL CMP) XO) ) ) ) )

Remark: See Appendix C, (the output of Scan is the input of

Expander, in the function Buread1)

Z. 8 Mkatom [_!_; j_; .if!.] (Make atom)

Arguments: i = current row position

l = current column position

J.E.!:. = column right-hand bound.

6

Description: Returns as value the atom whose first character

starts in column 1 of row i of matrix Ai, but cannot exceed

JE!_. Creates an atomic symbol from a sequence of non­

blank characters.

Z. 9 Par [ i; 1] (Find Right Parenthesis)

Description: Scana row i of Ai from column 1 until an un­

balanced ')' is encountered. The column number of that

')' is the value of Par.

Z. 10 Scan box [ i; li ~; U ; J!; .J.!.] Arguments: _! and l are row and column indexes, respectively.

~ and .J! are the coordinates of the upper left hand • of an

• box. U and 1!, are vacuous.

Description: A 1ubfunction of Scan for translating an • box.

A function on the matrix Ai.

Requires: Scanboxb.

z. 11 Scanboxb [ i; j; iup; Up; .i!.P,; J.!:E.]

Arguments: i, l are current row and column indexes.

iup = row number of the top of the • box

Up = row number of the bottom of the • box

J.!£ = column number of the left side of the • box

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..i!£ = to be determined, the right side of the box.

Description: Returns as value the B-expression for the im-

pJ.ied * box.

Requires: Testar, Scan.

Z. 1 Z Te star [ iup; i; l] Description: Predicate tests if an * occurs in the 1th column

of A1 above row_!, but not above iup. (row 2 is considered

to be above row 3. )

2. 13 Expandr [~]

Description: Where ~ = a B-expression such as produced by

Scan [ • • • ]. The value is the result of removing all "XO"

from each substring of the neet form of Expand [ ~] ; [i. e. ,

Mknt [Expand [ x]]] unless that substring consists only of

"XO", in which case the substring will appear as "NIL".

We shall call this a list of proper simple expressions.

Remark: See Appendix C.

2. 14 Mknt [~] (Make Neet)

Description: Transforms~ of the form (((A(B(C(D))))(E F G))

(H I J)) into the neet form: ((A B C D)(E F G)(H I J)).

(The output of Expand is the above form rather than the

neet form.)

2.15 Efiace[~;I.]

Description: Removes all expressions Equal to~ from list I.·

2. 16 Expand [~]

7

Description: Accepts as input a B-expression ~ such as pro­

duced by the Scan [ • • •] function, and produces as output a

list of alternative "simple expressions" implied by~- This

subfunction of Expandr expands a compact B-expression

into it• list of implied strings.

.,. ,.

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Requires: L91

2. 17 L91 [~; w1]

Description: A subfunction of Expand. xis current position

in w1, the B-expreasion that is to be reduced to a list of

simple expressions. Returns as value the implied list of

simple expressions.

Requires: Expand, L9f 2.

Remark: Modifies the free variable expandlst.

2. 18 L912 [k; !.i ~

Argument: !! = list of B-expressions to be expanded (may be partially expanded)

!. = a list of the form (ORR !t a 2 ! 3 •.. )

k = a list of the form (a. a. 1

... ) - -1. -t+

where the !' s are any B-expression.

Description: Returns as value a list whose elements are Ex­

pand[,!!']' a, where n' i1 the result of substituting .!i for! on

n. Expand[n'] is done l'.Or all a. in k to produce the resul-- -1. -

tant list.

Requires: Expand.

Remark: Modifie~ the free variable ~andlst

2. 19 Group[~;~

8

Description: Where lst is a list of proper simple expressions;

returns as value a list of grouped and sorted simple expres­

sions. The groups are numbered sequentially from ~· The

input simple expressions are grouped according to the IF' s

that they contain as described in the proposal. Within each

group the set of simple expressions are ordered low to high.

Requires: Sortlohigh, Noifgt, Ifnoif, Ifnoifeq, Selectif, Remif.

Remark: The effect of Group can be seen as the value of

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Buread1 in the examples in Appendix C.

2. 20 Sortlohigh [~]

9

Description: Where x is a list of lists. Reorders x and num­

bers from the free variable runo.

Requires: Sortlohi

Example: if runo = 2

Sortlohigh [ ((ABC)(B CUT)(A))] = ((2 A)(3 ABC)(4 B CUT))

2. 21 Sortlohi [~] synonymous with Sort2 [~] or Sort1 [~]

Description: Where ~ is a list of lists to be ordered alpha­

Letically in ascending order.

Sort2 [ ((ABC)(B CUT)(A))] = ((A)(ABC)(B CUT))

Requires: Lohi

Remark: The sort order can be observed in the printout of

the expanded grammar, Appendix A, part II.

Z. 22 Lohi [~_; I_]

Description: Predicate tests if list.! is alphabetically lower

than list I· Requires: Lap (LISP assembly language)[3] subroutine

Lohiprintnm

Example: Lohi [(AB); (A C)] = T

Lohi [ (A); (A C)] = T

Z. 23 Noifgt [.tat; !!.1

Description: Predicate is true if there is no atom IF/ fol­

lowed by a number greater than!!. OQ the S-expression .tat.

Z. 24 Ifnoif [.tat]

Description: Predicate is true if the atomic symbol IF/ does

not occur on the S-expression .tat.

z. 25 Unoifeq [ .tst; !!.1

Description: Predicate is true if there is no atom IF/

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' I

followed by the number!: on the s-e>r::pression 1st.

z. Z6 Sele ctif [ .tst; _!:]

Description: Returns as value all lists in the a-expression

.tst which contain an atom IF/ followed by the number !:·

Requires: Member1

Z. Z7 Memberi [~; :r_; ~]

Description: Predicate is true if I. immediately follows ~ on

list z.

Z. ZS Remif [ .tat; _!:]

Description: Rem_oves all lists _! on the a-expression .tst for

which Memberi [IF/;~;_!] is true.

Z. Z9 Mkpairsfrmgrp [~]

Description: Numbers the groups of simple expressions~

from the free variable number ngrp. ~ is usually the out­

put of Group [ • • • ] •

Z.30 Printarray[ai; i;l;!!_;jJ_]

Description: Print array ai from row .. ~ to row ii from

column 1 to JJ.. Remark: The results of Printarray calls in Buread 1 can be

seen in Appendix C.

10

Z. 31 Carrcharray [ x; i] (Card Character Array)

Arguments: ~ is firs; character in current startread buffe1·[3]

i denotes current row number.

Description: Reads cards until an EOF or a period in

column i is encountered. Stores each character of the

card as an element of the array Ai. Ordinarily cards are

read and stored in columns 1-71 of Ai, but if a '/' appears

in column 1, the subsequent characters go into 7Z-i i 9.

Requires: Charrayl

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z. 3 Z Charray1 [ ~; i; .! ]

Description: Stores away in A1 each character of the current

card. That is, it fills a row or half-row .

Z. 33 Stots [] (Store Transformation)

Description: A function to read a transformational rule and

convert it to the standard form for the Grammar tree. A

subfunction of Gutsin.

Requires: N extnonblankafte r blank, Findatoms-dropplus, and

Expandr.

Example: EEE $ X rT *} *M ):c X ING V

*EN• HAVE *BE •

0 1 z 3 4 5 0 1 z 4+- 3 5

Value is .•••

((6) ($) (6) (5) (X) (5) (4) ((M) (V) (HAVE) (BE)) (3) (3) ((T) (ING) (EN)) (4 -) (2) (X) (2) (1) ($) (1) (O) (EEE) (0))

$

6 6

Remark: The transformational rules are either a single (Kx72) matrix of characters or a (Kx72) matrix fol­lowed by a card with a '/' ("slash") followed byan(Nx72) character matrix.

Z. 34 Nextnonblank [~; 11 Description: Finds the next non-blank character object in row

:!!_ of the matrix of character elements A1 (10, 72), starting

in column l· The value of the function is l', the column

containing the first non-blank encountered to the right. If

no non-blank is encountered by column 71, the value of the ·-·

function is 71. A subfunction of Stots [] .

2. 35 Nextnonblankafterblank [1; ~]

Description: Has as value the first column l', of row u of

11

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Matrix Ai (10, 72) which has a non-blank character object

after the character object blank to the right of column l· If such a column is not found by column 71, the value of the

function is 71. A subfunction of Stots.

2. 36 Findatoms-dropplus [ l; J!_; ~]

Description: A subfunction of Stots [] . Operates on matrix

of character objects Ai (10, 72). Its value is the list of all

objects separated by plus '+' and terminated by 'blank' on

row = !!!!!.. between and including columns .J. to jr. If a blank

is encountered, or J!. = 1, the value is NIL.

2. 37 Trans£ [~]

12

Argument: ~ is an S-expression representing the transforma­

tional rule, usually prepared by Stots.

Description: This function numbers and groups the input into

a form compatible with the general form of the expanded

grammar. The a-expression for this compatible form is the

output of the function.

Requires: Mkpairsfrmgrp, Group, Mknt, Expand.

2. 38 Trees can []

Description: Reads in one character matrix containing a two­

dimensional tree; returns as value a standard a-expression

representation of the tree.

Requires: Strmtx; Printarray, Triescan.

Example: ,:-c E-:-,F

becomes (A(B(C))(D)(E(F)))

Remark: See example in Appendix C.

2. 39 Strmtx [~; .!]

Arguments: xis initial character on the i th card.

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i 3

Description: Atomic symbols on the i th card are stored in

matrix Ai ?. & the (_!, l) th element; where l is the column of

the first character of the atom. A subfunction of Tree scan.

Remark: Works only for literal atoms (no numbers).

Z. 40 Tries can [ cui; cuj; ilw]

Arguments: cui, cuj = the current row and column indexes in Ai.

Uw = the current lower extent (in rows) of the tree.

Description: A subfunction of Treescan. Operates on the

symbol array Ai to produce the standard s -expression for

the contained tree.

Requires: Extnf.

2. 4i Extnf [ .!_; l• ilw]

Description: Finds the extent of the (.!,, j)th node (i.e. , the

number of rows of Ai required by the descendants of

Ai ( i, l)).

Remark: For the example given with Tre e s can (in Appendix

C), the extent of the A is 3 (i. e. , Extent [ i; (the col. no. ·,

of A); 4] = 3).

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3. 0 FUNCTION DESCRIPTIONS FOR THE DERIVATION TESTER

3.1 Deriv []

14

Description: Tests a given packet of derivation cards, which

specify the application of grammar rules, for consistency

with the current expanded grammar, which is bound to the

free variable sym.bol expgrm. The process is terminated

when it encounters an OUTPUT, OUTP, or ENDUP card

or whenever it exhausts the grammar or encounters a fatal

error. This function does CS rule testing and then passes

control to Derivtrans [] to test the transformational rules.

Requires: Read6, Curtrstr, Fstsubrlof, Spread, Nomorecs,

Evalcs, Groupapplies, Getpsg, Tiftst, Applycr, Bpi,

Derivtrans.

Remarks: Figure 4 illustrates the flow of control in Deriv [ ].

See Appendix B for examples of the use of this function.

3. Z Curtrstr [] (Current Tree and String)

Description: Creates initial current string, bound to the free

variable cs. Creates the initial current tree bound to the

free variable ctr. Returns a list of these two structures

as value, but is executed primarily for its effect on.£!_ and

ctr.

Requires: Getpsg.

3. 3 Getpsg [ !i f!.i Ei_i E.!.8.1 (Get Present Subgroup)

Description: This function gets the subgroup for ! (for ex­

ample: CS) with rule number~ .. group number a, sub­

group ~• out of the expanded grammar expgrm. U no

such item is found, it returns the value NIL.

Example: Getpag [CS; 4; Z; Z] = (Z VP= V NP).

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3. 4 Fstsubr .lof [ E.!_i 3J (First subrule of)

Description: Returns Getpsg [CS;~; _s; 1]; that is, the

first subgroup of group _s of CS rule~-

3. 5 Spread [ x]

Argument: x = a list of symbols read from a derivation card

by Read6[ ].

15

Description: If~ = (OUTPUT), then the function returns the

value NIL. If x is of the normal form for a derivation

card (that is: a sequence number followed by the rule type,

rule number, and optionallyanRfollowed by the group and

subgroup numbers), then the following free variables get

tr.eir respective assignments:

seqno (sequence number~ f!_ (rule number),and optionally

a (group number~ E.!K (subgroup number).

3. 6 Nomorecs [] (No More CS)

Description: Tests if there is no rule equal to CS~­

Requires: Fstsubrlof.

Remark: See Figure 4.

3. 7 Evalcs []

Description: Predicate tests whether the symbol on the left

side of current subgroup, .£!.&, is contained in the current

string.£!·

3. 8 Groupapplies [] +

Description: A predicate which tests if all the IF/n' a• that

can be found in .£!.I apply to the current string .£!.· Uses

fu,nction Listi£ [cdddr [cag]; IF/] to form a list of the IF

numbers present in .£!.i· The predicate Applyif[u] is used

+ This functio 1 will no doubt be changed in the future.

• IF rules express context restrictions on the current string .£!.·

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on each IF number present in~ until either it fails, in

which case Groupapplies fails, or it exhausts all IF' s in

,;sg, i.n which case Groupapplies succeeds. On success,

the free variable iflst is assigned the list of cells in.£!,

for which all IF' s succeed.

Requires: Getcells, Liatif, Applyif.

3. 9 Getcells [ u]

Description: A subfunction of Applyif [~] . Forms a list of

all sublists of.£!_ which begin with ~-

Example: If~= (AB A CA),

then Getcells [A] = ((A B A C A)(A C A) (A)).

3. 10 Listi£ [ !i u]

Description: Lists all n. in u which follow an x, where the -t

~i are numbers.

Example: Listi£ [IF/; (A= B IF/ 1 C IF/ Z)] = (1 Z)

3. 11 Applyif [~] +

Description: Tests if all IF /ni apply to cs, where u =

<!!.1 • • • ni · • • ).

Requires: Member3+, Memberz+, EffaceZ, Getassocif.

3. 1 Z Getassocif [ u]

Description: Get r ·ule IF/u associated with rule er. A sub­

function of Applyif.

3. 13 MemberZ [!; I]

Arguments: x, a list of symbols given as a pattern;

I,, a list in which the pattern match ia to find a

match (usually ~).

+ These functions will no doubt be redone in the future. At present, they are little tested and possibly not well defined.

16

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Input free variables: alf- -the current iflst,or list of cells

(normally of.£!) which contain the current symbol as

car[] and have passed previously applied context restric­

tions; u2--the current IF rule, which contains a***

element, which must match the current symbol; ~--the

current string.

Description: This function returns as value the list of ele -

ments of alf which corresponded to the *** in u2 when~

(the pattern part of u2 with the current symbol substituted

for ***) is made to overlay all segments of I that it

exactly matches. This admittedly complicated function is

used to test if a given context occurs and, furthermore,

if a particular element appearing in that context is a mem­

ber of the set of possible current symbols.

Requires: Member 3.

3. 14 Member 3 [ _!i y]

Description: Lists all cells of x_ which are the concatenation

of list~ with anything. Used to test for the occurrence of

a given context.

Example: Member 3 [ (A, B); (R, A, B, C, A, B, A, B)]

= ((A, B, C, A, B, A, B)(A, B, A, B)(A, B))

3. 15 Efface2 [ x; }:]

Description: Removes all items on list! from list I· [ every

occurrence]

3. 16 Tiftst [] •

Description: Tests whether CS ~ R ll• E!i. does not hold for

17

* Tiftat is not complete at this time, but will be rigged to always give the value NIL. The main reason for this is that, as of yet, no TIF rules exist in the CS section of the current test grammar.

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0

all TIF' s• mentioned in the rule. Removes from iilst

(the list of instances which survived all IF tests) those

cells which the TIF conditions eliminate.

Requires: Treematch.

3. f 7 Treematch [ !; I,]

Description: Where: ! is a pattern tree I. is an ordered list of input trees

Predicate tests if tree ~ can be found among I.· If the

pattern~ contains an •••, which can match any single

node, then the matched node, if found, is returned as

value. There are three possible values:

NIL (cannot be found)

T (found, but~ does not contain a ***) (node).

Uses Treetop, which requires terminalst.

3. f8 Treetop [!; I,]

Description: Where: ! is ordered list of pattern trees,

f8

I. is an ordered list of input trees

Predicate tests if all pattern trees can be fitted, in a left­

right ordering, to the ordered input trees. The fitting

must be anchored at the head of each matched pair. Re­

quires free variable list terminalst (a list of terminal

cells of y). If there is a terminal ••• in !, the matched

terminal node is given as the value. There are three po11 -

sible values:

NIL

T

(node)

• TIF rules are context restrictions on the current tree.

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3. f 9 Applycr [] =

Description: The purpose of this function is to rewrite the

current string £!_ and the current tree ctr. This is done

by inserting on£!_ the rewrite section of~ for the first

cell of ~ that appears on list if.let (the list of £!. terms

which survived all IF/ and TIF/ rules).

Requires: Member 4, Treeterminal, Subsk.

3. ZO Member4 [ ~• IJ Description: Similar to Member 3, but works on a list of

terminal nodes of the tree I.· Also gives first occurrence

only.

Example: Member4 [ (A, B); ((R)(A) (B)(C)(A)(B)(A)(B)]

= ((A)(B)(C)(A)(B)(A)(B)).

3. Zf Treeterminal [ !,]

Description: Lists all terminal list nodes of~- Treeterminal

[ (L(A((C)(D))(B(C))) (A~C)(B(C(D)))) (A(B(C)))))]

= ((C)(D)(C)(C)(D)(C)).

3. ZZ Subsk [_!; I,i !)

Description: Substitute x for y on z. One occurrence only.

3. Z 3 Bpl [!,)

Description: Print tree .! in the form shown in the example

below. This form is called the subscript tree print.

Example: Bpl [ (A (B) (C (D)))] prints as:

( B ( D))

A C

3. Z4 Derivtrans []

Description: This function tests the transformational rules

called for in the derivation packet and tests for their

consistency with respect to ~ ancil the current expanded

,, ., .

f9

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,.

,, 20

grammar.

Requires: Finddeepest, Sonof, Getpg, Upair, Spread, Read6,

Properanalysis, Dotrn, Bpl, Members.

Remarks: See also flowchart of this, function (Fig. 5).

See Appendix B for samples of this function's action.

3. 25 Finddeepest [ .!• !!..!!• !_]

Description: This function gives as value the leftmost of the

set of deepest subtrees in tree which have root ! and which

are not on list I..

Example: Finddeepest [S; (S(A(C(D)(R(A)(S(A))))

(B(C(S(A(C))(B)))(S(B(S(C)(A))(D))))); ( )]

that is, tree =

Requires: Memberr

3. 26 Memberr [!; x]

value is (S(A))

Description: True if~ is Equal to some member of list !_.

3. 27 Sonof [~

Description: The value of this function is the list of node pairs

((~t • r1 ) ... (!;_· 1.t» such that node !;, has the parent~ in

the ancestral tree ~- ·This value is used in the Proper­

analysis function.

Example: Sonof [ ((A(B(C)(D))(E)))] = (((A(B(C)(D))(E)). ((A(B(C)(D))(E))))

((B(C)(D))· (A(B(C)(D))(E))) ((C).(B(C)(D))) ((D)·(B(C)(D))) ((E).(A(B(C)(D))(E))))

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. . ".

3. ZS Getpg [ ~• cr9] (Get present group for transforma­tional rules)

Arguments: n is either UT or BT

cr9 is a rule number.

Description: This function returns as value the a-expression

which represents transformational rule ~ cr9.

Requires: Sass9c

Example: The external Bracket-expres aion is:

UT9

Q

1

3 + 1

(WP)

z z

AUX

3

0

then the value of Getpg [ UT; 9] is

(((i Q WP AUX)(2. Q NIL AUX))((1 3 1)(Z Z)(3 0)))

3. Z9 Sass9c [~J :ll ~

Description: Ideniical to Lisp function Sassoc, except that it

uses Equal to test for equality rather than Eq.

3. 30 Upair [ ~ (Unpair)

Z1

Description: Where! is an a-expression of the following form:

((!o · (~o bo1 · • · )) · • · (~ · (~o E.n1 .. · )))

Upair returns as value:

((!o !.1 · : ··. !n)((~o ~01 · • · ) · · · (~no ~1 · · · )))

Example:

Upair [((1· (3 1))(2,(2))(3·(0)))] = ((i Z 3)((3 1) (2) (0)))

3. 31 Properanalysis [ !] Arguments: .! = cons[!!:,!!; cons[names; pattern,]]

Description: This function provides a rather powerful ability

to do pattern matching in trees. Within the scope of the

derivation testing, its purpose is to test if the list given

0

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...

22

as patterns can be considered a proper analysis in tree.

If it can, then the corresponding nodes of the tree are

paired with the corresponding names and the resulting list

of pairs is given as output. Otherwise, the output is NIL.

After establishing the free variables patterns, names,

and mpairs, a test is made to see if the atoms which oc­

cur in patterns occur in tree. If this test fails, Proper­

analysis fails. Otherwise control is passed to Fndp:rop­

analysis. This function and its subfunctions are of suffi­

cient interest to be discussed separately in more detail

in Section 4.

Requires: Part, Listofatoms, Fndpropanalysis.

3. 32 Part [ I_i z]

Description: Tests if each atom of list I. is a part of

s -expression !·

Example: Part [ (A); A] = T

Part [ (A B); (B (A (C B)))] = T

Part [ (A B); (B (E (C B)))] = F

3. 33 Listofatoms [ !]

Description: Makes a list of all atoms in a-expression~

(one occurrence only).

Requires: Union

3. 34 Union [ ~• ~

Description: Where~ and.!!. are lists representing sets.

Returns a list representing the union of the two sets.

Example: Union [ (A B CA); (A C E)] = (A B C E)

3. 35 Fndpropanalysis [ u] (Find proper analysis)

Arguments: u is the current tree.

free variables: patterns, names, and mpairs.

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Description: This function tries to find a match for the first

elements of patterns for which P-a[ ... ] can find matches

for all the rest. The variable mpairs will contain the

final value. Fndpropanalysis [ u] tries all nodes of the

tree u, until it succeeds or exhausts the tree. The order

in which the nodes are tried is given by the recursion:

Fndpropanalysis [ ~

[make tests; if they succeed return T, otherwise:

r := Fndpropanalysis [ Car [~]] ;

r-return [r] ;

otherwise T-Fndpropanalysis [Cdr[ u]].

Requires: P-a.

3. 36 P-a [~; E,i ~J mpairs)

Arguments: x is current tree

f is current list of pattern elements

n is current list of names

mpairs is current list of matached pairs of

pattern elements and matching nodes.

Definitions of the pattern elements of f are given in

section 4. 0.

23

Description: If E.i (the current first pattern element) is a

literal pattern element, then P-a must find a match on the

content of the node x or the content of its leftmost descen­

dant node ~• (cadr[x]) or cadr [x'], etc. If no match can

be found, a terminal node will be encountered and P-a

fails. If, however, a match is found at some node xi,

then xi is paired with ~i (car[n]) and appended to the list

of matched pair (mpairs). Then the function returns the

value of

--- --------- -

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.. ,,

24

P-a [ Nxtcontiguous [xi]; cdr[E]; cdr[n]; mpairs].

When P-a finally exhausts p, it returns the value of

mpairs. In the case where p 1

is an indefinite pattern

element, successively longer sequences of contiguous

nodes will be paired with p 1

(starting with none (NIL)). If

P-a continues to fail for all these cases, then this process

will be repeated for !', x" . . . x\ etc. until either P-a

succeeds or all such combinations are exhausted.

Requires: Nxtcontiguous, Comitrin, Gtname.

Remarks: For additional information about this matching

facility, see section 4. 0.

3. 37 Nxtcontiguous [!; ~] (Next contiguous node to !)

Arguments: ! is a node in a tree and~ is a list of son-father

pairs for some tree.

Description: Returns as value the next node to the right of u,

that is, the right-hand sibling if it exists; otherwise, the

right-hand sibling of the most im1nediate ancestor which

has siblings.

Requires: Memberr.

Remarks: "Contiguous" spelled "contigious" in the program.

3. 38 Comitrin (left; order]

Description: A function obtained from the METEOR report[4]_

This function is employed here to evaluate arguments of

matching functions which occurred as pattern elements in

Properanalysis.

Requires: Gtname.

3. 39 Gtname [name: f!.!.]

Description: Evaluates the expression name with respect to

the list of variable bindings f!!.·

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Requires: Copytp.

3. 40 Copytp [ x]

25

Description: Makes a copy of list x.

3. 41 Dotran [u; tr;~] (Do the Transformation)

Arguments: ~ = a list of dotted pairs of the form:

((name . treepart )(name 1

. treepart 1

) . . . n n n- n-

(name ( treepart1

))

tr = a list of pairs of the form:

( (name 1

• (name x1 ... ) )(name

2. (name yi ... ) ) ... )

ct = the current tree in which the named tree

parts are found.

Description: This function finds the associated treepart in ct

given by u, of the left member of each pair of tr and re-- -places it with the list of treeparts given in the right mem­

ber of the pair. Thus Dotran has the effect of transform­

ing ct according to tr. For a given left member of tr, if

either its associated right member on~ is null, or its

associated right member on tr has only one element and

that element is identical with the left member, then no

change in ct is made. Deletion is signified by a single

right member of tr, that is, either EEE or zero. Any

member of a right member list of tr which has no associ­

ated member on u will be inserted as a literal node.

Requires: Getallnode.

Example: Arguments of Dotran

~ = ((6 +) (5 (IP (TO) (NP (N (PROP (DAVE))))) (MAN (BY)

(NP (N (PROP (DORITA)))))) (4 V (HAND)) ( 3 ED) (Z (NP

(DET (THE)) (N (COM (BOOK)))) (AUX (T) (BE))) (1 +))

!:! = (( i i) (Z Z) (3 0) (4 4 3) (5 5) (6 6))

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26

ct= ((S (+) (NP (DET (THE)) (N (COM (BOOK)))) (AUX{]) (BE))

(ED) (VP (V (HAND)) (IP (TO) (NP (N (PROP (DAVE)))))

(MAN (BY) (NP (N (PROP (DORITA))))))(+)))

Value of Dotran

((5 (+) (NP (DET (THE)) (N (COM (BOOK)))) (AUX (T)

(BE)) (VP (V (HAND)) (ED) (IP (TO) (NP (N (PROP

(DAVE))))) (MAN (BY) (NP (N (PROP (DORITA))))))(+)))

3. 42 Getallnode [~; y; z]

Arguments: ~ is a node about to be replaced.

r, is a list of the names of the nodes that are to

replace~-

~ is a list of dotted pairs (usually the ~ in Dotran).

Description: This function returns as value the node that is

to replace ~-

..

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4. 0 ON MATCHING ARBITRARY PROPER STRINGS IN TREES

27

A general pattern matching capability similar to that pro­

vided by the string pattern 1nanipulating languages SNOBOL[ 1 ],

COMIT[Z], etc. has been developed within the context of a set

of strings, known as proper strings, which is definable on a

tree. The facility gives the user the capacity to carry out a

rather powerful set of pattern matching operations in trees.

The algorithm is programmed in LISP 1. 5[3] and is utilized as

part of a computer system. for testing transformational gram­

mars, where it serves to perform the pattern matching in­

volved in checking for applicability of transformational rules.

4. 1 Introduction

One of the more interesting, if not entirely new, ideas in

the field of procedure-oriented languages is that one can base

a general-purpose programming language upon the concept of

pattern identification. Just how this can be achieved is not

going to be described in this note, but, for those who wish to

pursue this topic, there are some references in the biblio­

graphy. Before proceeding to a description of a small exten­

sion of current capabilities, one general statement will be

made in this connection: namely, that the specification of pat­

tern criteria, the identification of the pattern elements, and

the subsequent construction of new patterns which contain pre­

viously identified elements, is a natural way for humans to

describe processes.

The use of trees as models of structures is well known

and has wide applicability. One such model is that in which

each node identifies, classifies, or otherwise describes the re­

lationship of the set of nodes it dominates. For example, from

linguistics we get the following incomplete model of a sentence:

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,, (

This model implies, for instance, that:

(NP AUX V NP to NP)

is a legitimate sentence form; or, in more detail, a noun

phrase (NP) followed by an auxiliary (AUX) followed by a verb

(V) followed by (NP to NP) is a sentence form that can be gen­

erated in English. Note the importance that the order of

28

nodes has. For example, (AUX NP V NP to NP) is not im­

plied by the above tree, but (NP AUX V NP to NP) is. Note

further that (NP DET AUX V NP to NP) is not implied by the

tree, as the DET is a part of the NP. In this case, NP is said

to dominate DET. Also note the (NP VP) is never an adequate

description of a fragment of the sentence modeled by the tree,

as there must be an AUX after NP and before the VP. Thus

we have examples of the constraints of order, contiguity, and

non-dominance.

In t~sting for applicability of transformational rules, it is

typically required to be able to identify the occurrence of a

particular sentence fragment: e. g. , (DET N) in the current

structure. This fragment does, in fact, satisfy the above­

mentioned constraints of order, non-dominance, and conti­

guity. Any arrangement of the nodes of the tree fulfilling

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29

these three requirements will be called a proper substring, a

concept which linguists refer to by the term "proper analysis".

Two nodes, ~ and y_, in a tree_!, are said to constitute a

proper substring of.! if y_ is to the right of ~ and is either (a)

the node that can be reached from x by ascending in the tree

until a righi-adjacent branch is found and then descending one

level on that branch or (b) one of the set of nodes that c,\n be

reached from~ by continuing down the path deocribed in (a),

always taking only leftmost branches. For example, in

starting from the leftmost DET node in (4. 1. 1), a right-adja­

cent branch is found at the NP node immediately above it,~ and

the nodes N and PROP are encountered in following the down­

ward path; thus, (DET N) and (DET PROP) are proper sub­

strings. In the case of the leftmost PROP node, the ascending

portion of the path continues all the way to the S node before a

right-adjacent branch (the one leading to AUX) is found; the

proper substrings here are (PROP AUX)and (FROP T).

Given the above definition, the set of proper substrings

for a tree can be defined recursively as follows: An ordered

set of nodes (n1

, n2

, ••• ?\) constitutes a proper substring if,

and only if:

k = 1 or

n. n ... is a proper substring for i = 1 to k-1. 1 1+ .l

One can order the set of proper substrings according to

two criteria: first by depth, then by leftmost-ness. Ob­

serving this ordering, a partial listing of proper substrings

for the above example tree (4. 1. 1) is as follows:

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4. 1. 2 S

NP

NP AUX

NP AUX VP

NP AUX V

NP AUX V NP

NP AUX V NP IP

NP AUX V NP to

NP AUX V NP to NP

NP AUX V NP to DET

NP AUX V NP to DET N

NP AUX V NP to DET PROP

NP AUX V DET

DET N

N

PROP

30

Having defined an ordered set, it is meaningful to pick the

first member of the set for which some criterion holds. In

this case of the set of proper substrings, the criterion em­

ployed is equivalence to some specified pattern.

4. 2 Pattern Specification

A pattern is specified as a sequence of elements which

must occur in the same sequence in the object string. Pattern

matching consists of identifying with each pattern element this

corresponding portion of the object string.

(• In this example only the content of the node is given, but what is actually implied is the node and all it dominates. )

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Example:

sample pattern

1A 1 'B'

'A' X 'B'

sample matching string

AB

where x is a variable which matches any string, including the

null string, and 'A', 'B' are literal elements. Another way of

expressing the pattern 'A' x 'B' is:

A$B

1 X 3

where each pattern element is identified by the assigned name

or numeral appearing immediately below it. The $ is called

the indefinite pattern element and matches any string, inclu­

ding the null string. This notation is derived from COMIT[t]

and, more immediately, from METEOR[4J_ A variation of

this notation is used for specifying transformational rules:

The top line represents the pattern elements of a proper sub­

string and the second line contains the names to be given to

the substring fragments that they match. A third line is pro­

vided for specifying replacement.

A LISP function Properanalysis has been written which

provides us with the facility to specify a string pattern and to

identify its pattern elements with the nodes of the correspond­

ing proper substring of a tree- -the corresponding substring

being the first one of the ordereJ set described in 4. i. Z for

which an exact match can be established. The list of nodes

corre,,ponding to a given element is herein called a fragment.

- - - ·-- -...c_ .,.. . -

31

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. ' ,'( 32

4. 3 The Function Properanalysis [~

Where u is a list of the form: (tree, (names• patterns))

patterns = a list of pattern elements, ex: (p1 Pz .•• pk)

names = a list of names for the associated elemento,

ex: (n1 n 2 . . . nk)

tree = the ordered list of nodes whose ancestors' siblings

are as yet unmatched, ex: ((A (B) (C (D))))

for the node A

~ If a match cannot be found, the value of the function is NIL.

Otherwise, the list mpairs (for matched pairs) is returned as

value. mpairs is a list of the form:

( (name t" matching-structure 1 ) ..• ),

where name. is the i th

element of the list names, and matching-1

structure is that list of nodes of~ (and/or its ancestors'

siblings) which matches the i th

member of the list patterns for

the successful match. Allowable member types of the list

patterns and their meanings are:

4. 3. 1 Literal match:

If the pattern element is an atom, and that atom is not the

name of a previously matched fragment of the proper substring,

then the atom will match only an identical contiguous atom of

the proper substring.

4. 3. Z Back-referenced match:

li the pattern element is the name of a previously matched

fragment of a proper substring, then the element will match

only an identical contiguous fragment.

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4. 3. 3 Indefinite pattern or "Dollars" match:

The pattern element "$11 will match any contiguous proper

substring fragment, including the empty fragment.

33

Note: In the future, a "fixed number of indefinite pattern

elements" match might be included. This would be of the form

($. n) where n specifies the number of elements to match.

Currently, we have had no occasion to use this type of capabil­

ity, but it might well be useful in a more general environment.

4. 3. 4 The pattern element NIL:

In this case, the matching process simply continues as

though this pattern element did not exist; i. e. , it goes on to

the next pattern element.

4. 3. 5 LISP functions for pattern matching:

A pattern element of the form (FN function name 1

, name 2

• • • namek) is called a matching function. The idea of pattern

matching functions is probably due to D. Bobrow, and their

use here is practically identical to that described in the

METEOR report[ 4].

If the above matching function appeared as a pattern ele­

ment, the LISP function "function" would have to be defined,

and it would continue the pattern matching. (Note: this would

allow violations of the set ordering, which might be desirable. )

function is a function of k+1 arguments, the first of which

is x, the current node in the tree at which matching is to take

place. The arguments, name 1

.•• namek, can be other

matching-functions, names of previously matched pattern

fragments, atoms or expressions. The matching function

must obey the following conventions:

'"-, ..

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The entire tree, of which x is a node, is described by the list

of (node ancestor) pairs given by the free variable~·

Any segment of the tree which is matched (m-patterns) should

be paired with car[name] and mpairs set equal to

cons[cons[car[~ue]; m-patterns]; mpairs] , where m-pat­

terns is assumed to be the list of nodes which constitute that

matched segment.

If the function fails to find a match, it must return the value

NIL.

4. 4 Some More General Comments ~ Matching Proper Strings !,!; Trees

34

While the operation of finding contiguous segment patterns

in a structure is an important operation when a tree structure

model is employed, it is by no means generally sufficient.

For instance, the requirement of non-dominance makes it

impossible to match many specifiable tree patterns. This re­

quirement can, to a large extent, be overcome by the use of

matching-functions. Matching-functions do not, however,

meet the requirement for a natural and powerful means of

pattern specification. Certainly the facility to match complete

trees as literal pattern elements can be obtained immediately.

But what if such a pattern-element tree-literal matched com­

pletely the top of a more developed subtree node? Would this

be considered a pattern match? This may be made clearer

by the fallowing example:

Consider the sample tree, 4. 1. 1 and the pattern specified:

Page 246: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

It is obvious that the above pattern occurs in the tree. But

would one always agree that the following occurs?

(NP AiX VP)

33

This brings up the even more general question of whether to

allow tree-pattern elements with variables. A sample request

for such pattern matching might be:

Identify the pattern:

A, E, .A I

X

AB

in the current tree, where

*B* must be part of the current proper string; that is, (A E B)

is a proper substring and B is immediately dominated by an A

which dominates only a C which dominates an indefinite amount

of structure called x which has a terminal node A to the left

of a terminal node B, where A is not necessarily contiguous

to B.

It appears that we are at present on the threshold of this

kind of pattern matching facility. That is, a suitable set of

matching functions could be defined to do the requ .. red

matching. A ~nore convenient notation than matching functions

should be devised, but at least the basic facility is there.

4. 5 The Question 5!! Efficiency and the Combinatorial Problems Involved

The present proper-analysis function is a highly recursive

procedure with certain tricks to make it more efficient. More

such tricks will be added. It is critically important to identify

the certainty of failure at the earliest possible instance. It is

·" •. , r

Page 247: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

precisely in the case of trying to find a pattern which does not

exist that the worst combinatorial problems arise. Accurate

timing data for illustrative pattern matching cases is not yet

available, but should become so as an outgrowth of applying

the Properanalysis function to the problem of transforming

linguistic structures.

4. 6 Conclusion

36

The proper-substring pattern matching i rees described

in this paper, along with the ability to add the generality of

LISP matching-functions, provide a usable way to identify pat­

terns in trees. Application of this technique to testing genera­

tive transformational grammars has been tried and should pro­

vide interesting timing data in the future. Depending on the

result of future studies involving fast-fail tricks, it may be

possible to attempt an even more general matching of trees in

trees.

Page 248: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

REFERENCES

1. Farber, D. S. , Griswold, R. E., and Polonsky, I. P.,

"SNOBOL, A string manipulation language". Journal of

the ACM, Vol. 11, No. 1, January 1964.

Z. An introduction!£_ COMIT programming. The Research

Laboratory of Electronics and the Computation Center,

MIT, 1961.

3. LISP 1. 5 Programmer's Manual, Computation Center

and Research Laboratory for Electronics, MIT, August

196Z.

4. Bobrow, D. G. "METEOR: A LISP Interpreter for String

Transformations, " THE PROGRAMMING LANGUAGE

LISP: Its Operation and Applications. Be1·keley and

Bobrow (eda. ), Information International, Inc., March

1964.

/ . .

37

Page 249: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

~

" ~I

I In

put

Gra

mm

ar

V

I

I r

YI U

pdat

es

+

Exp

ande

d G

ram

mar

s-

expr

essi

on

,- Gra

mm

ar

expa

nsio

n an

d up

date

pr

ogra

m

l

Pri

ntou

t

I E

xpan

ded

~a

mm

u

~ ~~

:r,"

;;::

ion}

Pri

ntou

t o

f in

put

(see

App

endi

x A

, se

c. I

)

PIG

UR

E 1

. S

imp

le s

chem

atic

of

the

proc

ess

of

tran

slat

ing

a se

t of

gra

mm

ar r

ules

int

o a

mac

hine

pro

cess

able

gra

mm

ar.

(for

a s

ampl

e pr

into

ut.

see

App

endi

x A

, se

c. I

I)

>1

Exp

ande

d G

ram

mar

s-

expr

essl

on

(see

App

endi

x A

• se

c. m

)

Page 250: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

PlGURE 2. Grammar Expanllon and Update Program: An Outline Plcuo: The print function

Plcuo (Dave Cl; 1 J

Printout of Expanded Grammar

Dave: A function to caet the free variable expgrm to the value of me function Guuin (the S-expresalon

for an expanded grammar).

expgrm:• Guuln C) Return rexpgrm1

Guuin: A function to read in grammar rules until an ENDOFALL card ls encountered.

11ne:•Read6Cl --If u:=f(Une 1

PlcuoC

grammar tree; 1]

Retum [ Punch [

grammar treell

Punch [

grammar tree)

read in and

prlnt rule w/ Buread. Add rule to

>..;;.;;.;;;._ ______ ,._. grammar tree.

Yea

Yea

Yea

Yea

Print C

---------t (SYNTAX ERROR)]

I

read in and print rule with "neeacan CJ Add rule to grammar tree

read and print rule with Tranaf [ Stout]] Add rule to grammar tree

read in rule w/ Read6 CJ Print the rule. Add rule to grammar uee

Page 251: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

~

Ex

pan

ded

G

ram

nia

r a-e

xp

ressio

n

+

Deri

vati

on

T

est

Pack

et

Deri

v [

]

Reco

rd o

f G

en

e rati

o

) >

lan

d e

rro

r co

nfl

icts

Sim

ple

sch

em

ati

c o

f th

e p

rocess o

f te

sti

ng

a g

ram

nia

r fo

r co

nsi

sten

cy

wit

h a

n a

ssu

med

deri

vati

on

.

Fig

ure

3

... ~

Page 252: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Derlv [l

Line:= Read6[l

Derlv 2

curusut l

Deriv 21

er:= 1

Derlv 4

cg:• 1

p

PIGURI 4. The Derivation Teating Function Deriv(]:

print [INITIAL STRlNG NOT GIVEN]

Return [T)

Yea

Thia function testa for coruistency of the CS rulea and then puses conuol to Derivtrana t) for the uanaformadon rule testing.

Return (STOP]

applycr [) print [curule] print [csgJ

'---------1 BPI [ctr)

print [(ILLEGAL RUIZ NAMI;) CURULI]

Dertv 8 cr:-cr + 1 cg:•1 csg:•Psiaubr.fof ~-----­(er; cg]

cg:acr + 1 c:o--- cag:•Psuubr.fof (er; cg]

F

ILLEGAL t) Return [STOP]

F

Return(()]

ILLEGAL C] Return [STOP]

..

Page 253: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

"'1 ,

LP

s

p

ctr:•1ub1t {+1 11 otrJ n.«UT w:•T

ctrl:afinddeepeat [Sa cu1 · l .J aon:•aonof [cPlll [ctr11 ()]

l :•com [cu l1 l] u. .. T

cgl:•r. tcg) cg:•f [cg)

A r--....11~-------tranaf:•wpllr [cgl] analyll .. diddler [f [cgl]

G

R

w:•F pr:•prr n:•BT cr:•pr u:•F

FIGURE 5.

T~-----------prtnt ((derivation complete)]

return {DONE]

print [11st [curulea cag1 (wu applicable))]

u. .. properanalylla {cona [cirl1 con, [car [tranaf]; rt analylla) ]1] r. r [analylla)

m

Dotron [u: cgl; ctr] son:•aonof {11st [cull

analy11I:• diddler [f [cg]]

enor[l11t [caga(IWGAL DIRIVA'I10N)lcurule}l

=---.- --- - --- ~---

Page 254: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

,.

;,

APPENDIX A, I

PRINTOUT OF AN INPUT GRAMMAR

I •

(From Gutsin [])

· - - - - --

Page 255: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

;,

Fu" CT I LJ:,.1 ~~- --;:E-:-;V-;-A-;-L"CJU~On"iltiE;:---uH:-i"ATS-:tSuiE~E~N.--.E:"IiH~f.•E·li~EDr.,--,1r.:11::-::G~U:r.M'="e N~f~s-.·-.-------------­( L hM UOA Nil CPltASO (DAVEi 1)1 ~ll .. .. ·· ···-··---------------------------------·---' STRT 1)

INSTl • S ·, cs .. 1,------------------~---------------·---

s • $ (PRE) NP AUX VP S (CS 2)

-· .. .,k.C•7·~ J I NI: G J CCS 3)

AUX• T DO C•M•I -··· ···--- ---- .-1 • ·-,cs 4)

VP. (HAVt: EN) (BE ING) •v c•NP•J •• ,, •• CMANI ITIMEI • •PPi hP --- --------•s •

•BE ADJ .. lcs 5)

t-4P • COP) N I SI &CS 6)

... .. .. pi' • PREP ,cs 7)

MAN • •~Y P• •AC\I •

ICS 8) TIME • IFREl,d CTUU CDUIU --·rrs-q1· --- ---- _ __;_ __________ _ PLACE• •COEST) CORIG>•

LOC •o, sf •

lCS 10) OP • CPO) OET

.. ,cs 11)

01:T • ART est (CS 12)

. AMT""'"-•--• iliotF• •OEF •

,cs 13) --~--~N~-~.-=s-=1..,..N=c""'E.,..R~I-T""'"Y•-,-------------------------------BOY IT ·-----=,---H~l~N-·G-------------------·- - ---------___.--LNE MA~ ·------------------------·---- ----------HOOK TABLE PLAN

•f-ACT .---------· . ·---

'

'

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CCS l't) ____ y_•_•CU~ClSCEND•

ClSLIKE LEAVl: BtlHVl ·----h~~Pl-~~-=-------------------·----------1 t;f,1,1-'1

_____ ulV[ ______ _._ ________ _

Sl:t: CtCIOE

•CU,VlNCE • ---- --- - ·- --------------(CS 15) ACJ :c •~GI\EST•

GRH:N -- IALL ·---------------

IJEEP •fl~M • ···-n:.-rn;r··- · ----

Hz *uliGHT TO• CAN -----i.l LL _________________ _

*MU ST • ICS 17)

··--- - Pt<l:P . • - •cN•

•UF• CUT l - INDIRECT OBJECT INVERSIONI

I X NP 11' Y t - - ·------·--· 1.23 4 !>6 1 2 4 3 5 6 ·--e-,c, U~T 2 P,H).)··, VE_-,---------------·-----------------

' ~p ~ux V ITOI NP y BY SUM z s l i 3 4 5 6 7 I 9 10 ll 12 1 2 7 4+Ut+~U 5 b O 8 9 J l[ 12

CUT J TO UELETJONJ $ X V TO Y $ ---1 f-3-,. ·--·-5-6 ______________ _ --- ·- ·---·-l 2 3 G 5 6

CUT 4 MCV_E __ .:...> __________________________ _

$ X T 00 •M • Y S •ee•

14?34 ~ 61 ·---1235 0 67 CUT~ ,uESTIONJ

i X Q NP AUX V ·s ·---l l 34 5 67 1254 0 67

CUT 6 OtWOROP> s x-"G-v-·-=-v;__;_,--------------------1 2 l It 5 6 l 2 0 4 5 6

U:tiDCFALL J

'. J:1

I

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APPENDIX A, II

PICASO PRINT OF 5-EXPRESSION

FOR AN EXPANDED GRAMMAR

- ,

.,

Page 258: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

.,

f ( .... ) 2 ( ..

3 (CS \ I

4 ( f )

5 (GROUP 6 ( f )

7 ( f S = $ PRE NP AUX VP $ )

7 ( 2 S = $ NP AUX VP$) 4 ( 2 )

5 (GROUP ) 6 ( f .. . ... )

7 (i PRE = QNEG ) 7 (Z PRE = ) 7 (3 PRE = NEG 7 (4 PRE = Q)

4 (3 ) 5 (GROUP

6 ( f ) 7 (f AUX = T DOM) 7 (Z AUX = T DO) 7 (3 AUX = T DO I

4 (4 . . ) 5 (GROUP ...... )

6 ( f

Page 259: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7

(1 VP= HAVE EN BE ING V NP PP MAN TIME ) ( 2. VP = BE ADJ ) (3VPsBEINGBEADJ) (4 VP= BE ING V ) (5 VP = BE ING V TIME ) (6 VP = BE ING V MAN ) (7 VP = BE ING V MAN TIME ) (8 VP= BE ING VS ) (9 VP = BE ING V S TIME ) (10 VP= BE ING VS MAN ) (11 VP= BE ING VS MAN TIME ) (12. VP= BE ING V NP) (13VP= BEINGVNPTIME) (14VP= BEINGVNPMAN) (15 VP• BE ING V NP MAN TIME ) (16 VP= BE ING V PP ) (17 VP= BE ING V PP TIME ) (18 VP= BE ING V PP MAN ) (19 VP= BE ING V PP MAN TJME ) (ZO VP = BE ING V PP ) (2.1 VP = BE ING V PP TIME ) (ZZ VP = BE ING V PP MAN ) (2.3 VP= BE ING V PP MAN TIME ) (2.4 VP= BE ING V PPS ) (25 VP = BE ING V PP S TIME ) (26 VP= BE ING V PP S MAN ) (27 VP = BE ING V PP S ~fAN TIME ) (28 VP = BE ING V PP NP ) (29 VP = BE ING V PP NP TIME ) ( 30 VP = BE ING V PP NP MAN )

----- - ·

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--··1 131 VP= 11"f7Nc;v· p1• f'4P MAN TIMf. 7 132 VP • Ut: INv V PP PP J

__ 7!-______________ l:-:3:-'3'--:V'::-P~=-u E I N l,; V . PP I' P __ T IM E ._) __ _ 7 (34 VP= U~ l~t,; V PP PP MAN) 7 135 VP= ttt: ING V PP PP MAN T1"1t 7 13& VP = IH: I t-.G V NP )

--7 --------------137 VP= dE lt-.G V I\P TIME ) -

7 13ff VP= 0[ l~G V NP ~AN >

7 (;j<I VP= IH· IN(; V NP MAN llME J --,=----------------c·4·o-vP·--~- i1t:"-· 1 rH; -v · ·NP·· s I .. · - ·- ·- · ·---·

7 ( 4 l V P = ll I: I NG V r.. 11 5 T I 1-1 [ J 7 C42 VI> = t1l INr. V NP \ MM~ I

--7 --- ---- ,43 . VI' = llt. IN<; ·v ·N" ~ MAN . fiM f · · -···· ·-

7 C44 VP= Hl JNG V NP NP I 1 , 4 ~ v P = HE I N c; v N; 1 r. I' r I MF , -------- ·-·-· .. .. ........ ·----- ------·-···· · - - .. ·· - · 7 ( 46 VP = tll ,.,.p NP !H1N ) I Nu " 7 (41 VP= Ht NP NP MI\N TIME ) I Nl, V 7 C '• ti V P = 11 t- N P I' P I I f'.41i V

·-- -·- - 7 (4\J - \IP - ; - HL N.., PP TIME· --1 -·----. i Nl, " 7 C !JO \/ I' = I It: NI' 11 P I' I\ N ) I N,..i V 7 (':>l VI'= tll. NP l1 P f11\N JJMI· ING V

· - · -1 · - ---- · ···---· t':>i .. vP ·· :;; · ·11,\VL LN i t- ti u,J 1 7 l':>3 VP = HI\VL r~ 1q: NG tit I\UJ I 7 C'>4 VI' = lil\VI: t: N ·H· N(; \/ I

----7·-··- ·· ·-··,'>s- vP · · liAVL LN ·It: N(, V MAN; · ··- - - - ·- ···· - ····

1 ( 5<, v.-i = HAV I:: I:~ tit- Nu V MM~ T IMF- ) 'I ( 5 7 V I' = ti A V E t N 11 l NG V M' I

--,- ·····- ··- r-,if " vr · ;;·-- Hi\Vl . H'4 IH::' NG V NP MAN )

7 ( 5 9 V I' = ti I\ V f F. N IH: N c; V NP MAN T I ~ f J 1 ( bU VP = HAVE EN llE NG V NP )

- ·- - ·1--·------,--------,.b1 vi, -= HAVE - f:N° - IH: .. NG- v - ~µ·-MANT

7 (62 VP= HAV E EN nf NG V NP MAN TJMF 7 C b 3 VP = HA Vt: F. N IH: I~ G V NP NP )

---7 -n;7;-V-P-~-H"·vl:· ··o~· -,)C"1 N·cr v ·-NP-NP. n Mf.,.-7 I b !> V P = H A V E E: N 1• E I N li V N P N P M i\ N ) 1 Cbb VP= HAV~ tN Ht NG V NP NP MAN TIM[ 7 ·-n~ ·1- \rP·--;-H Av [ . I: N IH: NG V . NP . PP . ) . . . . . . - ·---·

7 I 6tJ VP = HflVt: U J 1~~ rH; \I NP PP M1\N 7 C <> CJ VP = 1 i fl V l H~ J 1: ,~ G \I t-. P t' P 1 I t-lL ) --7 I 70 VP = 1• AVL- : N ·l l: N(, V . NI' \ I 7 ( 7 l VP = -•AV t: !: N 1 t- NG \' NP S Mt. N ) 7 ( 7 2 V P = H I\ V l: E N t \ L N G \' N P S r-·, I\ N T I M t:

- ·- - -7 ·-f7f"VP. ;,- HI\V t tN 1-i t Nu \ ' ~p · ~ JI Ml j - - - - · - ··

1 (I'• VP= IM'v[ EN 1.H: Nii \ t-:P llMI' j

7 ( ·1 5 V P = 1-i i\ \ l: t N J t; N ll \.: NP T I Mt. ) --- 7 176 VP= 1·tAVf (1'" l\ f: NLJ \' ..-p·-,

7 (77 VP= HAVl. t:N JF. NG \Ipµ ) 7 (78 VP~ HAVE tN ~E Nf, V PP MAN

- ---i f'79 VP·= tiAVf: - EN-·:\E PH, V PP -MAN-· ,· · · ·-· . - ....... ·--· -

7 (HO VP= HAVE EN ilE ING V PP MAN TlMC ) 7 ltH V P = HA V l: t: N d t: I NG V P P ,-; AN T I ME J

---7 I 8l VP = HA iiEfN.-HE°" ·, Nli . v·•- r 'p•·-NP ) 7 183 VP= HAVt: tN dt: ING V PP NP MAN ) 7 184 VP= HAVE EN BE ING V PP NP MAN TIMt J

-~7 ~r:HA'I/F.7:·N- tJt·· ·1 Ne·· VPlJ- NJ> -T I'Mt--r ·- · --7 (86 VP= HAVE EN Bt ING V PP PP I 7 1~1 vr = HAVE EN BE ING V pp pp MAN > 7 188 Vp;-HAVE EN BE ING V ~p PP MAN TIME 7 189 VP• ttAVE EN BE ING V PP PP TIMt::) 7 190 VP• HAVE EN 8E ING V PPS )

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;,

' 1 C.91 VP• HAVE EN OE ING V PPS MAN ) 7 192 VP • HAVE: 't:N OE ING V PP S MA~ TIME ) 7 (93 VP= HAV[ EN UE ING V PP S TIMC ) ---1·----------------,-9-=-,.--=-v~.,-= -:..;;HA v E_EN .. _u E-INGV 7'P T IM£: , "------

1 195 VP• HAVE EN Uf ING V PP TIME ) 7 196 VP • HAV~ EN Bl- ING V S ) .. --··-1--------------..;,"-'-q 7 yp_ds_ HA vt · [i{" et: .. r"N G- V-.,.S_M_ . ..,..A_N--,-) -----

., (98 VP = HAV( U'4 Uf: INti V S MAN T IH[ 7 ( 9 9 VP • HA Vt- E: N IH: I NG V S T I ME ) 1 11ou vP = .. H,\v"f- l ·;~---"L I iiG ·v···-r1H°~ -T--1 1101 VP= HAVL l~ V ) 7 ( l 0 2 V P = HA VI f :~ V MAN J

... ___ i (Hf3VP=--HAVt .. t: ·~ . \/ I-IAN - l l,'1E -r---- -----7 (104 VP= HAV[ ~NV NI' ) 7 ( 10 5 VP = H !\VI· I: ,~ V NP )

---·-1 1 TobVr°- = - HAVt · t ,~-·v NP MAN ,

7 1107 VP= HAVF fN V NP MAN ) 7 (108 VP= HAV E EN V NI' MAN TIME J

-- · ·---- 7 -·-- --·--- ··rro'l - VP- -= - HAVE r: :~ V i~I' 'MAN T IMf: -· l -

7 1110 VP = HAV E EN V Nr NP ) 7 ( l 1 l V P = 14 A V t: t: I~ V N P N P M AN )

.... ____ 1 Tfll-·v~- -=-- HAVt . ti~ V N1' NP MAN . t IMC I 7 CllJ VP= HAV~ EN V NP NP TIME ) 7 (114 VP= HAVt: EN V N~ PP )

- -.,-- r1s - vrr=-···HhV E · f l~ V NI~ pp MM~ · -, · --- - ----- -- -- - --7 1116 VP= HAVl EN V N~ PP MAN TIM~ ) 7 ( 11 7 VP = Ii AV I I: I~ V NP P P T I ME )

-----7~-- rrnr ·~µ- : ""t• hVL . l I~ V · NP s t 7 (11~ VP= HAVl EN V NP S ~AN ) 7 ( l Z O VP = HA V f. ll~ V NP 5 M fl N T IM E 1 t 121 vP-;;-HJ\ vr·· E1rv-- Ni1 · s- ·T rH·rr-·· 7 Cl22 VP~ HAV l E~ V NP TIM[ ) 7 C ll3 VP = HAVt: l:1~ V NP TIME ) 7 I 1l4 vl'"-=HAVF""lii-· v·-- pp----,.. ------------1 1125 VP= HAV~ EN V PP ) 1 112b VP= HAVl EN V PP MAN )

----.1 T2,\iP:- ·HAV r - ~N·--·v ·pp MM~ , - ·--···--1 (128 VP s HAV[ E~ V PP M~N TIME ) 7 1129 VP= HAVE tN V ~p MAN TIME) 7 C 1 JO VP = 1-i AVE t:: N . V- Pt> - N fl . . ) - - --- .. .

7 l 131 VP s HAVE [NV PP NP MAN ) 7 (132 VP= HAVt:: ~NV PP NP MAN TIME 7 Tf j7f P-s- i•{A VF. -· t: N - V. -PP. N ., . t f ;.ii· r ---7 Cll4 VP= HAVl ~NV PP PP ) 7 (135 VP• HAV E EN V PP PP MAN ) 7 ffibVP--;-· HAVf "'E) iv pp·--p·p ·

0 MAN O ·n ME7' 7 1117 VP• HAVE- E1'4 V PPP•• TIME I 7 (138 VP 2 HAVf EN V PPS ) 7 llJ9VP=-HAVtEi~--"/- PP .... S M;fN7 7 (140 ~t' c HAVE EN V PPS MAN TIME ) 7 1141 VP= HAV( l:N V PP S TIME I 7 (142 VP-= HAVt::-t::I~ V- PP nMt_) _______ _

7 1143 VP= HAVC EN V PP TIM~ I 7 1144 VP= HAVE EN VS )

-----7 114 5 v P-= ... H AV tew--v-rKA N 7 Cl4b VP a HAVE EN VS HAN TIME ) 7 1147 VP • hAVC EN V S TIME I 1 11tr~iP·c- H·,v1::-·-f'irvTrM°e··-----------1 (149 VP• V)

· 7 ( 150 VP • V MAN I -------------

1

Page 262: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

'

7 1151 VP s V MhN TIM~ ) -------------7 (15l VP• V NP a 7 ll)J VP= V ___ NP , ____________ _ 7 (1~4 VP= V NP M~N 7 ll5j VP= V NP MhN 7 I l 5 b VP = V t-.i P M /1 N J f MF. )

-----7 11)7 VP= V NP M,'11~ TIME) ---- --- -- - --- ··-7 I lSH VP = V NP Nl 1 I

___ 7 _______________ 11~9 VP = V flP t~1• :H1N _ _) _______ _ 7 1160 VP = V NP N I• MJ\N JIMt: J ---· ------ ------ -~-· -7 (161 VP= V NP N,1 IIMf) 7 ____ llb2VP=VNPP 1 )

----.,-- -- - - ·- •- ·----- ---, 1 b .3 VP- = .. V NP JJ .> MhN . ) - ---- -- - ·- .... .

7 ( l b '• V P = V N 1 1 I' 1 > i-1 /, N T l M E ) 7 _ _ _ _ , lo? VP = V r.1> 1-' ,1 I I MF. ) 7 ·· ··-··- ·- ··-- · T fo1 - vJ1---~ -V NP ) I . ·····- ------ - ·-- -- ---- · .

7 ' l t-, 7 V,, = V ,~ p s 1i 1\ N ) 7 ______ (lhH VP = V N~ \ ~/\N flM E )

··--- - - 7 ·····- -·-·--- - ·, ll:>ll. VP- ·= · v . NP S J IMt" I -----------------· 7 (170 VP= V (14 1' TI Mr 7___________ 1171 VI-' = V NI' TIM I.

·-- -; I l Ii:' V P-· - = V P I' I -------·· .

7 (173 VP= V PP ) 7 ( l 7 4 VP = V P ~• ~ ,\ f\

. - - -., - ------------- - ··---- - - ( 171:J \qJ = V PP M.H~

7 ( l 7 6 V P = V P fl M !1 N T I ,,q: 7 _______ I 177 vr = v t' P 1''.i\N 1Ir1 t-:

---1 -· - - ------, 17H Vi>- ··v Pl' r,, ,1 I 7 I 1 7 g V P = V p p N .l M /\ IIJ ) 7 I l H U V P = V P 11 N .> I~ /1 N T I M t: 7 I !t1·l- vP-·=··- v· ·pp ··1·~·• f P-11: I 7 1182 VP= V PPP~) 1___________ ( liJ) VP = V l'I' PP .' -1 1\:-~ )

·- ·---1 t 1u4 vP- ·;;, ·-v ..,., -..,.,- 1-111 1~ l 1ME , 7 ( l H ~ VP = V PP PP r I Mt-' ) 7 llHo VP= V PPS ) 7 - llH7 VP= v · p,_, - s · 1-1/\r4 I ·- - - ---7 llOH VP:.: V PPS Mi\N flMt I 1 _____ ·-- 11~9 VP= V PPS TlML t 7 - 11 (Jl) VP = V PP l I ME ) ... . ··- ···--- - - ---- - -- -

4 5

1 l 191 VP = V PP T IMF: I 7 (192 VP= VS I 1 ·- - - - -r19°3-- vP·-~·--v· -~ "'"'~-·r -· ·· 7 (194 VP= V ~ MAN TlME ) 1 __ (195 VP= VS flM t > 1 .i.i<i-b ·vp ···; --v····f i'Mt M••;···-· -· -·- - ·-

I 5 • • • • • • > (GROUP•••••• )

··--· ··--- ------ ---

6 1 7

- - - ( l • • • • .-.-.-.-.-. • • •• • • • • • • • • • • I -

1 1

4 (6 •••••• a

(l NP l2 NP ( 3 NP (4 NP

------:.5·--------- -C GT<OUP .. • .. • J 11 • •. • • • I

= .. -· =

llP N s )

OP I\ )

N - ,.. .. . ___ ·-

N s i

6 7 11 PP: PRfP NP a

4 5

6

--------------, I 7 •• • • • • I (GROUP•••••• )

11 •••••• • • • • • • I

-- ... ·-·· --·-- - ·-- ·· ·- ..

Page 263: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

5 6

7 1

(8 •••••• I (GROUP

11

(l ~A~• BY P I 12 ~AN 1: ADV I

...... )

• • • • • • • • • • • • • • • • • • • ••••• 7 11 TIME= FREij TIM OUR

• • • • • • • • • • • • __ ___ i ________________ Cl TIM.E = t ---··--- -

7 CJ TIMc = DU~ I 7 C4 Tl~t = FKEQ I I f5-···ta,.;t:: -;· ··~-~t'cf. li0R ) 7 (6 TIME = fK~U TIM ) 1 (7 llMl: =TIM)

- ··-··--·-· ·····,a r IM·t· ·:s·, ·uc·o1n:cT··--···----

" ' q • • • • • • ) ~ (GROUP •••••• )

••••••

,-1-·· ~-; .-. •. • • .·-;;·.-·--~--. :-.-~-;-:~ • • • • • • •• ,. • • • • • • ; •·•·- ·····- ·--------6 7 7

. ·· ·-- ··1 - - -·

7 7

---- -···· ... .. ·- - .

Cl PLACE= o~s, OK!G ) (2 PLACE~ )

· - ·,1-PCAC-c-~···ur~i- ·'l (4 PLALE; 0151 I C ~ l'LACt. = LUC. I

... ···- -·-- ,- ·----- -·- It> . PLACt'. =·-1.)K l G··T-·· ...... . ... ----- --·- ·-·--····-···-··· ··-·· - ·· .

" C l O • • • • • • I 5 (GkOUP •••••• )

... .. ·--···-6 -- - ·----- - ·--- ··--- I l • • • • • • • • • •• • l

4 5

7 Cl OP= PU O~T ) 1 Cl UP • DET )

C l l • • • • • • ) CGROUP •••••• )

b Cl •••••• •••••• I ·-··-··--- 7----------·--··-Tt Dt:T = -A"Rr··s--1 7 Cl Utf = AKT )

4 Cl2 •••••• I ·---5-------------, .... " .... , K--ouJ>· • • • • • • ·1--· ····--------·-6 Cl •••••• •••••• t

Cl AIH = INDl:f I 7 - --7 -- ·- ·· - ··c2 AMT = Ot:f ·,-· ·-··-·· ········· · ··- ··- ··- --·-·-·-··

" ~ ( 13 • • ••• • I &GROUP•••••• I ·-·--·- · ·-·-----------b -·-- -- , ,-··:;·;·;·~-;:-.-;~ -.-~--;· ·;-~-;·. :-·;-·~-;::-~-~----;-;;-~-;-~ • • • • • • • • • • • • •

7 7 ····--1.c------------1 1

11 N = SINCfRITY) C2 ~ = fACT I

-·- - r3 N. = ·pf~N- -,.---· - - ·· ·--·--

14 ~ a liUo.JK I l 5 N -= ~ ,\.~ )

. - 7 Cb N = GN: ,--· ----····---·

7 7 1 7

(7N=lf) Ctt N • f30Y I

19·N • TAuTE7-----·-·-··· · ClU ~ = lHING)

-------------

" - ~-(14 - ------- •••••• I lGMOUP~-.-.-.-.-.-.--.,.---·---- ---- ---------·-··- · ··-·· ...... .

6 Cl •••••• • • • • • • • • • • • • •••••• •••••••••••• • • • • • • • 7 Cl V • CONOESCENO I

·-····--·1--------------.... ,-2__...v---•-o~rrEVn----1 Cl V • CONVINCE I 7 (4 V • OECIOE I 7 I ~--V--OTS[ IR£ .. . I -------·-7 16 V • GI VE I 1 11 V ~ HAPPEN I

·-- · · .:tr'

Page 264: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

4

1 1 1

115 ••••••

ce V = U : A'/E ) Cq V = SEE ) ClO V = HMPT ---

5 CGROUP •••••• 6 I l • • • • • • • • • • • • • • • • • • • •••••

-- - ----.,----------------~( l ADJ = HUtn~r )

7 C 2 AD J = F- I t{ M ) 7 C 3 A~J = tl U : ..- ) --- . -···· ·· -

• •••••

7 14 - - - -----AOJ = (i, ~ l: tN ) 7 (5 ADJ= T/\l.l )

4 116 •••••• ) ......;._5 _____________ _ (G HOUP ••• ~-. -. -;- ·-·-- · ··-- --- -

6 1

C l • • • • • • . . . . . . . .. ~ ,. . . ..... Cl Pol= Ul/Gtil TO I -- --, C 2 M = .Mu S l -,-- --- ·-- - . --- - · - ·--- -· · ·- -·

1 1

13 M = C/\N) C 4 M = ~• IL L I -------__ 4 ____ - ---------,~l 7.. . . • • )

5 IG~GUP •••••• 6 C l • • •••• . . . . . .

---- 1

7 ll P~ l: P = LIN I Ii PR t p = or )

3 CUT ••• ••• ••• ••• •• •• •• ••• •••••••••••• ••. ) - --·- 4 --- - - - -------- -,-r--•.... --.---,--- ·- ----------- ---·· ····•-· ··- ·

5 ((.;ROUP•••••••••••••••••• ....... •••••• b C • • • • • • ) ___ i_____________ -- -·-· ·cc~ i ·· x NP u,·-.,- i_T ___ ······ - .

6 I 1 l ) 6 Cl l. ) ----,, - ·, j 4 i--- - - - -6 c 4 3 ) 6 C 5 5 )

. . . . . .

------------------fbi,-,- - - - - - -- -- ----- - --···--------------

••

6 4 c 2 •••••• ,

5 CGROUP •••••• •••••••••••• • • • • • • • • • • • • • ••••• • • • • • • • -----~- -----•••••• ••••••

4 !,

6 1 1

t,

6

I • • • • • • I 1 'z

(l 1 ) C 2 2 )

• • • • • • J $ X NP ,\IJ)( V ro NP y nv SUM l $ ) $ x N·P-·Aux-··v--N-I_L __ m;·-v· ov-··su°M { -~ .>

--------------,., :i " 7 - ,- - - - - - . b t 6 6 6 6 b 6 6 6

l't 4t OE EO ) (, 5 ) ---------------rb-;; -,-----·---- -- - -- ------- ------ -- ----- ---- - ------ - - ---11 0 ) 10 a ,

- - - --- - i cj--··9- - ,-- --

( l O 3 ) (11 11 )

----~ , l z--f2-) -

'3 •••••• )

---·------ - -·-- - ·- --- --- - ·- - ---· -

CGROUP •••••• •••••• •••••• •••••• •••••• •••••• •••••• -------- ------ -, . . . . . . ) 6 7

6 6 6 6

Cl 1 -.-r·2 Cl 3

"· 0

Cl$ XV TOYS ) ) ) )

)

Page 265: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

-·---·•----------------------------------------------·---

6 6

15 5 t C6 b t

~ C4 •••••• t -----------------::.__,;:;....;.. ________________________________ _ 5

6 (GMOUP •••••• •••••• • ••••• • • • • • •

I • • • • • • • • • • • • ) 7 C 1 S X T OU M Y • t

••••••••••••••••••

1 c2 s x ,-ooarv·-:,:---:-,-·------------6 Cl l ) b ____________ ~l l 2 )

---6 li7~,---·-----6 14,) 6 cs O) 6 . (b -t> -.----------

6 17 7 ) 4 C 5 • • • • • • ) ---,,------------5 IGKOUP •••••• •••••• •••••• •••••• • • • • • • • • • • • • • •••••

b I • • • • • • ) 7 11 S X 'NP AUX Y S t tJff 1 f" ----·- ----·- --·---·--·-· . ----·-----------6 Cl 2 ) b CJ 5) b ·--7-,. It_,_) ----·----·····- - - ·-·-.. .. .. ----------------6 15 0 ) 6 16 6 t

• ••

• • •

---6---------------rr ·1-·-------------·- ·-.. ---- ---- · ·---- --------------·---- - --4 16 •••••• J

5 CGMOUP •••••• •••••• •••••• •••••• •••••• •••••• •••••• I _______ b_______ --·· ·-··-·. ·-,·~-~-~ ~- ~-~--- T ·- ·- .. ----·-·-·--·-··•"•·--- ---·-.. ... _,_ .. _____ _ 7 Cl S X DOY Y S)

6 Cl 1 ) --6----------ri-2,· 6 13 0 I 6 C 4 4 J 6 ------r~ 5 , 6 16 6)

3 CBT ) --3-----------, "S'f iH~-. • • • J -----··- ·- -- ·----··- ----------------4 C l • • • • • • J

5 CGROUr •••••• I CJ

7

-----.. -... , , -.-.-.-.-.-.-.=-----·-----Cl J"STI • S I

' -- ·- ·-------

;

-·~

\

Page 266: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

\

'

APPENDIX A, Ill

LISTING OF THE PUNCHED CARDS FOR THE

S-EXPRESSION FOR THE EXPANDED GRAMMAR

Page 267: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

(IC~ (1 !GROUP 11 Cl S • $PRE NP AUX VP S) (2 S • S NP AUX VP tt))) (2 LISPOOlO - · (GROUP Cl 11 PRE • Q NEGt (2 PRE. •t (3 PRE= NEGI (4 P~E ~ Ott ti ·(3 CGROLISP0020

UP I 1 I l AUX = T 00 MI ( 2 AlJX • T 00 t ( 3 AUX • T DO I ) I I I I" C GROUP t 1 IL I SPOO 30 l VP• HAVE EN BE ING V NP PP MAN TIME) (2 VP= BE AOJI 13 VP• SE ING BLISP0040

--- E ADJ> 14 -VP • "BE ING VI "VP• BE . ING. V"TIMEI 16 VP • BE fNG ·v MANI f7LISPOO~O VP• AE ING V MAN TIMEI 18 VP• BE ING VS) C9 VP• BE !NOV S tlMEt 11LISP0060

0 VP• BE ING VS MANI Ill VP• BE ING VS MAN TIMEI 112 VP • BE ING V NLISP0070 - ·Pl 11°1 VP · • BE ING V NP TIMEJ Ti°i•··vp • BE JNG V NP MANI llS VP·• BE ING LISP0080

V NP MAN TIMEI 116 VP c BE ING V PPI Cl7 VP= BE ING V PP TIME) Cl8 VP irLJSP0090 BE ING V PP MANI I 19 VP • BE ING V PP MAN TIME I 120 VP • BE ING V PP) ILISPOlOO

--21 VP• BE ING ··v-- pp ·TJMEl -· ·122 VP• BE ING V PP MANI 123 vP ·• BE ···rNG. V PPLISPOllO MAN TIMEI 124 VP • BE ING V PP SI 125 VP = BE ING V PPS TIME) C26 VP =LISPOl20 8E ING V PPS MANI 127 VP• BE ING V PPS MAN TIME> 128 VP = BE ING V PLISP0130

- ·p ·NPJ 129 .VP =· et · ING V ?P NP TIMEl .. T30. VP _·= BE "ING ·· v PP NP. MAN) l'.31 vr,··LISP0140 • BE ING V PP NP MAN TIMEI 132 VP• BE : NG V PP PPJ 133 VP = BE ING V PPLISP0150

PP TIMEI 134 VP• BE ING V PP PP MANI (35 VP= BE ING V PP PP MAN TIMEILISP0160 .. ll6 VP• ·eE ING. V NPI 137 VP=· BE ING V NP TlMEI 138 VP 11 ·et 1NG -V NP MLISP0170

ANI 139 VP• BE ING V NP ~AN TIMEI 140 VP= BE ING V NP SI C4l VP• BE ILISP0180 NG V NP S Tl~E) C42 VP= BE ING V NP 5 MANI 143 VP= BE ING V NP S MAN TLISP0190 IME) 144 VP• BE ING V NP NPI 145 VP= BE ING V NP NP TIMEI .f46- ·vp ··= BE . L.ISP0200 ING V NP NP MANI C47 VP• RE ING V NP NP MAN TIMEI 148 VP= BE ING V NP LISP0210 PPI 149 VP• BE ING V NP PP TIMEI 150 VP= 8E ING V NP PP MAN) 151 VP: Ll5P0220

·· ·eE · lNG ~ ~p PP MAN T1MEt 152 ~p = HAVE EN BE ADJI (53 VP= HAVE EN B~ INLISP0230 G BE ADJ> 154 VP• HAVE EN BE ING VI 155 VP= HAVE EN BE ING V MANI 156 LISP0240 VP= HAVE EN BE ING V MAN TIME) 157 VP= HAV~ EN BE ING V NPI 158 VP• HLISP0250

·- AVE EN BE - ING V NP MANI I 59 VP = HAVE EN BE ING V "NP "MAN TIME) - ,6o··vp ·=-·crsP0260 HAVE EN BE ING V NPI 161 VP= HAVE EN BE ING V NP MANI 162 VP II HAVE EN LJSP0270 BE ING V NP MAN TIMEI 163 VP• HAVE EN BE ING V NP NPI 164 VP= HAVE EN LISP0280

- BE ._ING V NP . NP .TIME) f 65 VP it HAVE EN BE ING V NP NP MANI . (66 yp ···• H,(VE L.JSP0290 EN ~E ING V NP NP MAN TIMEI (67 VP• HAVE EN BE ING V NP PP) C68 VP• HALISP0300 VE EN BE ING V NP PP MANJ (69 VP• HAVE EN BE ING V NP PP TIME) 170 VP =LISP0310

-·-·HAVF."-·or1H: INu · v NP ·sr ·11r· vP =-·- HAVE . EN BE ING V NP S MANf··· c12··vp ·. HAVLISP0320 E EN BE ING V NP S MAN TIMEI C73 VP• HAVE EN BE : NG V NP S TIMEI (J4 VPLISP0330

= HAVE EN BE ING V NP TIME) 175 VP• HAVE EN BE ING V NP TIMEI 176 VP =LISP0340 - ··- HAVE -· EN. BE ·1NG V PPl -- (77 ·vp ·• HAV£ -·1:N · BE ING V pp,- (78 VP= HAVE EN BE .LISP0350.

ING V PP MANI 179 VP• HAVE EN BE ING V PP MANI (RO V~ = HAVE EN BE ING LISP0360 V PP MAN TIMEI ce1 VP• HAVE EN BE ING V PP MAN TIME) (82 VP: HAVE EN BLISP0370

-- E-·rNG" V pp·-·NP1 ··-,83""VP ______ _ HAVE EN BE" ING V pp NP MANI 184 VP = .HAVE . EN BE LISP0380 ING V PP NP MAN TIME) 185 VP= HAVE EN BE INCi V PP NP TIME I 186 VP = HAVLISP0390 E EN BE ING V PP PPI 187 VP• HAVE EN BE ING V PP PP MANI (88 VP• HAVE LISP0400

--·EN··· AE ING v· PP --PP MAN . TIMEI 189 VP · • HAVE EN BE ING V PP PP TIMEI C90 VPLISP0410 = HAVE EN BE ING V PPS) 191 VP= HAVE EN BE ING V PPS ~ANI 192 VP= HLl~P0420

AVE F.N BE ING _V __ P_P _S __ ~_AN _f.l _ME> .... L?_3_V,P_~ __ HAVE CN BE ING _V PP ___ S_J __ I_ME) _ 194 Ll~P0430 VP= HAVE EN BE ING V PP TIMEI 195 VP• HAVE EN BE ING V PP TIMEI f96 VPLIS?0440

= HAVE EN BE ING V SI (97 VP= HAVE EN BE ING VS MANI 198 VP• HAVE ENLISP0450 BE ING VS MAN TIME) 199 VP• HAVE EN BE ING VS TIME) (100 VP• HAVE ELISP0460

- .N f3E !NG V TIME·, ·· C 1of ""vp ··-~ - HAVE .EN v, (1·0·2 VP :s HAVE EN . " MAN·;-·· -,--1·03 VP =LISP0470 HAVE EN V MAN TIMEI ( 104 VP• HAVE EN V NPJ ClOS VP= HAVE EN V NPJ (lOLISP0480

--· 6 _Vr? • __ HAV_E . . ~N __ v __ ~_e __ M_~_r-i,_l_l()_l __ VP • t:t~Y.E __ ~_N_ v_ ~PJ'1ANl _'1J)~ _v._e_~_1'1.~YE EN VLISP0490 NP MAN TIMEI I 109 VP• HAVE EN V NP MAN TIMEJ (110 VP• HAVE EN V NP NPLISPO~OO

> 1111 VP• HAVE EN V NP NP MANI 1112 VP• HAVE EN V NP NP MAN TIMEI lllLISPO~lO ___ 3 ___ v r, · - _HAVE EN _ v_ Ne_N_e. __ tJ1!1E.1 ... _J __ l l.~-VP ~--t1AVE . . EN __ .v.,. NP. -~PL_J 11_, __ VP_-~--- t:tAVE EL I SPO 5 20

NV NP PP MANt Cll6 VP• HAVE EN V NP PP MAN TIMEI 1117 Ii,·· • HAVE EN V NLISP0530

'

Page 268: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

PPP TIME) (118 VP= HAVE EN V NP 5) (119 VP• Ht,VE EN V Ni->~ MAN I (120 L I SP)S'• G VP• HAVE EN V NP S MAN TIME) (121 VP= HAVE EN V t~P S T!M t: I ( lt.l. VP 2 1•Ll ~, , 1 1 '., ', 1 AVf EN V NP TJMEI 1123 VP= HAVE ~NV NP TJMEI 112 11 VI'= HAVE EN V PP) ILl •, ; •J -,r, , , 125 VP= HAVE EN V PP) (126 VP= HAVE EN V PP MMd 11 1 7 VP= HAV E P l V P \.l ' , ;:i n •, / (1

P MANI fl28 VP:: HAVE EN V PP MAN TIME) (129 VP= HA VI !:NV PP MAN Ti'~tl L l :iP ti :,1 ,11 11~0 VP= HAVE EN V PP NPI (131 VP• HflVE t . N V PP NP MANI 113,ii VP= H AV I j c., ,; , 1:, ·, ,1

E EN V PP NP MAN TIME) (133 VP= HAVE EN V PP NP llM l l I13 1~ V ;.> : It /W e. r. 1~ 1.1 ·.~ · J 1,,, , V PP P P ) f 1 3 5 VP = H A VE E N V PP PP M AN I I l 3 6 V P =- II A v E. I. N V fl P P P ,. 1 I\ r-. r L I . , ; ' \ J , ; • • 1

IMEi 1137 VP= · HAVE EN V PP PP T(MEI 1138 VP= H flV[ F.N V PP SI 11 .3 4 VP = L l ~, • ' Ot,, ', HA VE EN V PP S MAN I I 14 0 VP = HAVE E N V r> fl S MI\ N I I M ( I I 11• l VI' = HA V F. EL I :,:, JJ ;. 1 , · ,

NV PPS TIM[I 1142 VP= HAVE EN V PP TI MEI 11 1•':\ VP = HAVE EN V r>P T l ,.,,E ILl ~ •) Ofi 1• 1•

I l 4 4 VP = HAVE £ N V S I I 14 5 VP = HAV E EN V ~ MI\ "4 I I l 4 6 VP = HA V L U , V SL I SI' U t, ') u MAN TIMF.) flt• 7 VP= HAVE FN VS TIMFI I14A VP = HAVF FN V TlM F. I 11 1,'t VP LI SP OM .O = VI (150 VP= V MflNI 1151 VP= V MAN TIM E ) 11 ':> ?. vr = V NP) 11r, , VD = VL l ",P0 ', 7n NP) 1154 VP: V NP MANI ll "> 'j vP = V NP MtiNI !l'i6 vr = V NO M/I N l ( Mf ) f\ l l ',l ' () f, 1· 1,

'.,7 VP = V NP MAN T JME I 1158 VP = V NP NP I I I ~q V ~ :: V NP rw M,\N I t I ~,O VPL I c, :,nv,,, = V NP N P MAN T I M E I I 1 6 1 V P = V NP N P T I M ti I l b ;, V P = V N .> fl P I I I 6 1 V P L I ~. P O / O J

= V NP PP MAN I I 1 6 4 VP = V NP PP MAN Tl ME I I 1 AS VP = V NP P :-, T I M [ I r I 6 6 1. I V CJ ·1 I l VP II V NP SI 1167 VP= V NP S MANI I16A VP = V NP S M" •'I Tl ~lf: 1 tlh 9 VP= l. 1:, :J t , .' ?J V NP c; TIME) 1170 VP= V NP TIME) (171 VP = V NP Tll-H" IJ U VP = V PP ) I Ll tP O /: ,) 17) VP =· v PP) (174 VP='-'' PP MAN) (17' . , = V PP ,~A N ) (176 VP ~ VP ~' M~ L l ",~ (.,. ; .• ,·1

N TIMEI 1177 VP:: V PP MAN TIMEI 1178 VP = V PP NP) 11 79 VI ' ~ V PP t.P MA L l '. , •' 0 / ·,, , N I I 1 8 0 VP = V PP NP MAN T I ME ) I l 8 1 V P = ·; P P N I' T I M [ I ! I U •· V iJ = V PP P P I. I ,. ' :"ii r . .

1 1 1 e 3 v P = v PP PP MAN , 1 1 8 4 v P = v PP PP MAN r J Mr. I I l fl i; v 1' = v Pr> ;J .> r I r " :, , r: ,, IMEI 1186 VP= V PP 5 1 1187 VP= V PPS MI\NI flA8 VP :: V or S MM 'i Tl'-1[ ) t 1°. :• , / ·1J

flAQ VP= V PPS TJMF.I 1190 VP= V PP TIM E I 1191 VP = V PP TIM t: 1 IJQ? V fl 1 f c,1'J / •D = V . c; ) I 1 9 1 VP = V ~ MAN I I 1 9 4 VP = V S MAN T I ME ) I l 't ':, 1/ r> = V .S I I ~~ E I ! L I v r 1 " :i, i

196 VP= V TlMf.!ll) 15 (GROUP 11 (1 NP= l)P N S I 12 NP = DP NI 1 3 NP .:: Nl.l ) Pln : ::i I 14 NP= N Sl)ll !6 (GROUP 11 fl PP= PR EP NP)lll 17 I GR 0 I1P 11 1 1 n r,N =L l :, ,-J,·I ,:1) B Y P I ( 2 ~ A N = A D \' I ) ) ) I 8 f GR OU P ( 1 I 1 T I M [ = r R ( U I l M ,-, 1 11 ~ I I 7. I I M f. = I L I '.-> P i) r1 ·• 1

13 Tl ME = DUR I f 4 T IM E = FREQ I ( 5 T I ME = FR E O () llR I I t, I I Mi: ~ F R~ Q T IM I I L I ;, P (l /j , , O 7 TIME= TIMI 18 Tl~E = TIM DURIJI) 19 ((,ROUP 11 11 f'l l. ACF.:: DE~! O~ Jr,I ( 1. 1:,P Oi', :,0 2 PLA(E . :sl f3 PLACE= DE5Tl 14 PLACE= DJjTl 15 PLA C:t = L OCI lb µ LA E = Ll ., h,,c ,, v ORIGJJll (10 !GROUP 11 (1 DP= PD DETI 12 DP= DETIIII Ill I C1l~OUiJ 1 1 11 i. l ' . ,>(1 tl r, DET = ART s, (2 DET • ARTllll 112 !GROUP 11 (I Mn= IN lJE = 1 (2 Mn = iJFr t , ·, , 1-- ,:0 111 ·,- ··,13 ·· 1GROUP 11 <°l N = SINCERITY) 12 N = FACll 1 ·\ N:: PLANI 11• N = B O l ', ,);/(- , ,1 OKI (5 N = MAN) 16 N = ONE) 17 N = ITI 10 NII AO Y I i9 N - rAALEI I l :1 N = I 1 ~ · •t1 ' q'),l

THTNGll)I f14 !GROUP 11 11 V = CONDESCFNOI I' V = 1"1- L P · Vl' I 1 '3 V = co r-.v1 1 l ", ::,e, ,, i ·, N(EI 14 V = DECIDE I 15 V = DI5LIKF.I 16 V = Cd 1/F I 17 V = H,\ :>PENI 111 V = L ; ,.J:J -,.' (1 EAVE) (9 V = SEEi 110 V = TEMPTl))I 115 I r,,~n 1,1P 11 ()MU . HONE :- 1I (? /\ :, 1 1 ,.) , , , -, , , J = FJRMI (3 ADJ s DEEPJ (4 ADJ .., GREEN I I S /,1) , t = TA Ll I I ' I If> ( (, l~l) IJI ' f '.l I ' · ',• .. , .,

11 M =OUGHT . TOI 12 M: MUST) 13 M.: CA 1,t 14 M ~- WILi. : l l l I 17 ((JfWUP ( 11 l ', ,•v 1 ' , 11

11 PREP= ONI (2 PREP II OFl))II (UT fl luROUP fll - • X ,.., , IP Y i11 l l L l · ,),, , r,, 11 f2 21 13 4) 14 31 (5 ~I 16 bill f2 (GROUP Ill~ X ,~P AtJ;< V TO I\P Y 1\YI i , , ,_, , : ,

SlJM Z sj · 11 S X NP AUX V NIL NP Y BY SUM l 11 11 11 11 12 l.l 13 7) I'• ~. ;\,.l ' , , '_, . ,,-,

E ED I I 5 5 l I 6 6 I f 7 0 I ( 8 8 I I 9 9 l I 10 3 I I l 1 1 l I I 1 2 l 2 I II ( 3 tr, f-W l 1 ~ f • ; ' , ,-, C , '· , I l S X V T O Y S II I 1 1 I ( 2 2 I f; 3 I I 4 ()I I S 5 I I t:. b II l I ... I (', R OU P II l i I : , ·' . , 1 , ~ X T O O M Y S I ( 2 S X T DO BE' ·( S I I I l 1 I ( 7. ;, I ( :-1 3 I I 4 5 I I 5 0 I I b b I I L I ~ P • l l 0 7 71)) (5 !GROUP <11 S X Q NP AUX Y SIi 11 11 12 21 13 51 (4 41 I'., 01 I6 L LPI U, 0

6 I f 7 7 11 I I 6 I GR OlJP ( ( l S X DO V Y S II ( 1 1 I I 2 Z I I 3 0 I I 4 4 I I S ~ I I L I 0~ P I n .} 0

6 61.11) I ATI . (STRT 11· fGROUP i'f" (1 · INSTl = 5111)11 . L l ~ ,>J040

Page 269: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

APPENDIX B

SAMPLE DERIVATION TEST

,.._ . ,-

Page 270: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 271: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 272: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 273: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

APPENDIX C

SELECTED EXAMPLES

,

-· --· .. ·- -- - ~--,--- .....---~~- --.\... ~ . ' . - .

Page 274: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 275: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

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Page 276: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

' - ...

PART IV

11 COMPUTER SUP?OTI. ':' FOR .LE:X1CON

DEVELOPMENT AND USE 1:

D. Lieberman

D. Lochak

This Part has been accepted for presentation at the Fourth Annual Meeting of the AMTCL, July 26-27, 1966 Los Angeles, California

.... * •sa::: \ ~ ,- .

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Computer Support_ for Lexicon Development_ and Use

Introduction

Internal Data Organization

Tape Organization

Facilities

Contents

Overall (Supervisory) Control

Figures

Page

1

2

s

6

18

follow 21

Page 278: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Intr·oduction

A large lexicon, consisting initially of about 7000 words,

is being con1:3tructed as part of a transformational grammar

of English being developed at the IBM Research Center (see

Part I, section 2. 2, this report). The form of this lexicon is

an adaptation of ideas set forth in Chapte1 · 2 of Aspects of the

Theory of Syntax by N. Chomsky (Ref. 1 ).

The required computer programs fall into three main

classes:

1. The usual clerical programs involved in any kind of

l,.!xical development--additions, deletions, modifications,

partial or complete printouts in convenient formats,

scans of various sorts to assist the lexicographer, etc.

2. programs to apply the redundancy rules either for ex­

perimental pruposes, or to form a full derived lexicon.

3. programs to provide partial or full, base or derived

lexicons, in a format suitable for input to a grammar

tester currently under development.

Only the first of the above three classes of programs is de­

scribed in this paper.

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Internal Data Organization

The discussion below assumes some familiarity with the

linguistic basis for the lexicon as presented in Ref. 1.

The data could be organized in a straightforward way by

storing with each word all of its features, with each feature

appropriately marked+ or - . However, a much more com­

pact and manipulable representation can be achieved by taking

advantage of certain properties of the lexicon. Specifically,

each word has a set of classes of features associated with it,

and within each class, all features are relevant, i.e., each

feature is marked either + or - for that word- -there is no

"does not apply" mark. Thus, if each class is listed in full

just once, then for each word in the lexicon only the features

marked plus for that word need be a part of the entry for that

word. The features marked minus are automatically recov­

erable by reference to the full list of features for the given

class - -all features not marked plus for that word are auto­

matically minus. We could as well have used the convention

that only minuses would be listed with each word and recover

the pluses automatically. However, since it is expected that

there will be many more minuses than pluses in the lexicon,

it is more economical to use the convention that only features

marked plus will be explicitly listed with each word.

As a further economy, one can number the features in

each class, and then use the numbers rather than the full

~ - - - --- ~ --

2

Page 280: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

feature specification for coding the individual words.

The lexicon contains five types 0f features:

SC - Syntactic category

SS - Strict subcategorization (categorical contexts)

CO - Co-occurrence (feature contexts)

IN - Inherent

RU - Transformational rule selection

3

There is only one class of SC features, but for each SC feature

there is a separate class of each of the other types of features.

This point becomes important here only because numbers

rather than full feature specifications will be used for coding.

For example, the code SS3 will not represent the same feature

when used to code a noun as it will when used to code a verb.

Thus, it would seem that each class would have to be uniquely

labeled and the coding for each word in the lexicon would have

to include a reference to the relevant classes. However, one

can again take advantage of a particular property of the lexi­

con, namely, that among all of the features marked plus for

any word, there can be only one of type SC. Thus, if the full

lists of features are organized with respect to the SC features,

there is no need for additional labeling. The SC code associ­

ated with each word will automatically reference the appro­

priate lists for the other types of features.

The programming was done in SNOBOL, with extensive

use of the tree functions. The tree-like formats described

below were motivated by the use of the SNOBOL tree functions

and do not necessarily have linguistic significance.

The GLOSSARY (the full lists of feature specifications) as

described above could have the format shown in Figure 1., with

. --- --:--~ -· - . ~ . ,,

Page 281: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

the SC type of feature in a special position. However, the

programming and the input format for glossary modification

can be simplified if all the feature types are represented uni­

formly. Therefore, at the expense of some redundancy, the

glossary format actually used is as shown in Figure 2.

4

The format for the LEXICAL ENTRIES would follow al­

most directly from the linguistic theory were it not for the

existence of homographs. If we decided not to give homo­

graphs any special treatment, one might use the lexical entry

format shown in Figure 3. However, programming consider­

ations made it desirable to define a logical unit in such a way

as to explicitly connect homographs. This was done by estab­

lishing a dummy root, with the lexical entries as branches.

Thus, a two-member homograph has the internal format shown

i.n Figure 4. Si.nee homographs were represented by using a

dummy root, i.t turned out to be convenient to also use a dum­

my root with non-homographic entries. Thus, a non-homo­

graphi.c entry has the internal format shown in Figure 5. The

cost of the dummy node on tape is just two characters (open

and close parentheses i.n the SNOBOL linear representation of

trees). Si.nee each lexical entry wi.11 require 50 to 100 charac­

ters, the addi.ti.onal storage space occupied by the dummy node

i.s negligible.

It is perhaps worth mentioning here that the above discus­

sion of formats i.s concerned only with internal machine (and

tape) formats. As far as the lexicographer is concerned, each

entry is a separate entity wh~ther or not it is homographic

with some other entry. The dummy nodes are "unseen" by the

lexicographer.

. . .... . . ... .\ . ,,. . 4.. .. .

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The Redundancy Rules are represented by strings. Each

string consists of the characters RD, followed by a number

(the redundancy rule number), followed by a period, followed

by a sequence of feature types and numbers separated by com­

mas, followed by a slash, followed by a sequence of feature

types and numbers separated by commas. The interpretation

is that any entry which satisfies the first segment of feature

types and numbers is modified in accordance with the second

set of features. For example, if SC 1 represents the feature

NOUN, IN 1 the feature HUMAN, and IN 2 the feature ANI­

MATE, then a redundancy rule (for example, Rule 23) that all

+HUMAN nouns are also +ANilv1ATE would be represented in­

ternally in the form:

RD23. SC1, IN1 /INZ.

5

Each feature type can be preceded by a minus. The absence of

a minus sign is interpreted as a plus.

Tape Organization

The first physical tape record is the glossary. The sec­

ond physical tape record contains all the redundancy rules in

numerical order with the individual rules separated by a

double dash. The third physical record is the beginning of the

lexicon proper (the lexical entries). The logical units (of the

form of Figure 4 or Figure 5 in the SNOBOL linear represen­

tation of trees) are blocked ten to a physical record, with a

double slash as a separator between logical units. Also, to

increase processing speed, each block, as it is formed, is

automatically provided with a 4-digit key representing the

first two letters of the last lexical entry in the block. The key

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6

is determined by the mapping:

A-OZ

B -03 I I

I I

Z -27

The last lexical entry is the fictitious word ZZZZZZ. Its

purpose is to simplify the routine for insertion of new words

into the lexicon. With ZZZZZZ as the last entry, all new

words will be inserted somewhere within the lexicon, i. e. ,

there will be no occasion to tack a new word onto the end of

the lexicon. Thus, the algorithm for inserting a new word is

simply: insert the new word in front of the first entry in the

lexicon which is alphabetically greater than it. There is no

need to add the proviso: unless the end of file is reached, in

which case put the new word after the last word. If, using our

procedure, we do reach the end of file, it is an indication of

an error condition, and an error comment is printed out.

Facilities

The following facilities have been programmed.

GLMOD

GLPNT

RDMOD

RDPNT

LXMOD } LXMODA

LXPNT

LXSCN

LXSFT

glossary modifications

printout of glossary

redundancy rule modification

redundancy rule printout

lexicon entry modification (provision is made for two forms of input data organization)

printout of all lexical entries

printout of lexical entries with specified feature patterns

printout of all different feature patterns

t

t

Page 284: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

The programming for application of the redundancy rules is

not yet completed.

The facilities listed above and the corresponding input

data formats and control cards are described in detail imme -

diately below.

GLMOD - glossary modification

This facility is used to build the glossary through the use

of additions and deletions. The glossary is i_nitialized by

forming (with a special program) a tape record consisting of

the characters GLOS, which are interpreted as the node con­

tents of the root of the glossary tree (see Figure 2). Once

this record is formed by the special initializing program, the

remainder of the glossary can be built by using the GLMOD

facility.

The input for a glossary modification consists of the fol­

lowing cards:

7

1. A control card consisting of $GLMOD starting in column 1.

2. A sequence of packets (one or more), each packet con­

sisting of:

a. A header card consisting of (-)SCn starting anywhere

after column 1. The parentheses are used to indicate that

the 11 - 11 sign is optional, and are not part of the input. Any

number (including zero) of blanks may separate any of the

input characters, but the order of characters must be as

above. The header card indicates which node immediately

dominated by GLOS leads to the part of the glossary to be

modified by the packet it heads. If the " - 11 sign is present,

the indicated node is deleted (along with everything it

dominates). If the 11 -

11 sign is not used and the indicated

Page 285: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

node is not present, it is created at this point in the pro­

cedure and is then available while the remaining cards in

the packet are being processed.

b. One or more cards each containing one expression

of the form

(-)

SC

ss co IN RU

(-)n / string of char (but no "(", ")", or",")

8

where the braces and parentheses are used according to

the usual linguistic conventions used in Part I (2. 2) of this

report. and are not a part of the input. The string of

characters following the slash is a feature specification.

Column 1 must not be blank. However, blanks may be

used anywhere up to the slash and will be ignored by the

program. Blanks to the right of the slash will be treated

as part of the input data. The characters "(", ")", and

"," cannot be used as node contents because they are used

by the SNOBOL system as separators in the SNOBOL

linear representation of trees.

The optional minus to the left of the inner braces is

used to delete an entire category type. When this minus

is used, it is meaningless to have anything to the right of

the inner braces since it would be deleted. If a card

starts with a minus and has additional data following the

symbol indicating category type, the card is not rejected

as being ill-formed. Rather, the additional data is ig­

nored. If the category type to be deleted is not present

.e l

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9

in the portion of the glossary indicated by the header card,

an error comment is printed out.

The optional minus to the right of the inner braces 1s

used to delete the feature number (and the associated fea­

ture specification it dominates) indicated by n. Again,

anything on the card to the right of n is meaningless, if

n is preceded by minus, and is ignored by the progran1.

If neither minus is used, the feature number and fea­

ture specification will be added to the glossary. If the

number is already in the glossary, it will not be duplica­

ted. The new feature specification will replace the old

one, or will simply be added if there was no old one.

Note that the header card only indicates or creates a

node with contents n immediately dominated by GLOS. In

order to assign a feature specification to an SC type of

feature, a card of the type currently being described must

be used.

To illustrate the use of GLMOD, suppose we start with the

initial record GLOS and the sequence of cards:

$GLMOD

SC 8

SC 8 / STR 1 SS 1 / STR 2 SS 4 / STR 3 IN Z / STR 4

SC 3

CO 7 / STR 4 SS 4 / STR 5 CO 5 / STR 6 SS Z / STR 7 SC 3 I STR 8

Page 287: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

1.0

Then the resulting glossary is as shown in Figure 6.

Note that sibling nodes with numerical contents are ordered

from left to right in increasing numerical value independently

of the order in which they were entered into the glossary, but

sibling nodes whose contents are feature types are ordered

from left to right in the order in which they were entered into

the glossary. If a feature type under a particular node is de­

leted and then added in again, it will appear as the rightmost

branch of the particular node dominating it. The program can,

if necessary, be easily modified so as to order. the feature

type nodes within a sibling set in some pre-dei.ermined way

(for example, alphabetically), but there does not seem to be

any need for it.

GLPNT - Printout of the glossary

The control card for obtaining a printout of the glossary

consists of $GLPNT starting in column 1. The current print­

out format is shown in Figure 7.

RDMOD - Redundancy rule modification

The redundancy rules are initialized by a special program

which forms a tape record (following the glossary record)

consisting of a real or fictitious redundancy rule followed by

a double slash. If a fictitious rule is used for initialization,

it can be replaced by a real rule later by using the RDMOD

facility. Actually, all that is needed for initialization is the

string RD1. / /.

The input for redundancy rule modification consists of the

following cards:

1. A control card consisting of $RDMOD starting in column 1.

- - ~ - --- -- ... -. ~ ~· ~'- · - . ..-- .. ---

Page 288: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

2. A sequence of car:is, each containing one redundancy rule

in the form described above in the section on Internal Data

Organization, except that blanks may be inserted anywhere

(to make the card more readable). This sequence of c?rds

must be ordered according to redundancy rule number (low to

high).

No distinction is made in the input. between modification

and addition. If a new rule has the same rule number as one

of the old rules, the old rule is replaced by the new one.

Otherwise, the new rule is simply inserted in its proper nu­

merical order. The double dash separators are not included

in the input- -they are inserted automatically by the program.

RDPNT - Printout of redundancy rules

The control card is $RDPNT starting in column 1. The

present printout format is identical to the internal format

since very little work has been done so far with the redun­

dancy rules. If necessary, a more readable printout format

will be provided in the future.

LXMOD - Lexicon entry modification - Form 1

The minimum initialization required for the lexicon is a

record (the third tape record) consisting of the characters

ZZZZZZ representing the fictitious last word of the lexicon.

The reasons for using this fictitious word as a part of the

lexicon were discussed above.

The input data format for LXMOD was determined by the

manner in which the lexicographers carried out their work.

Rather than code a given word all at once for all relevant fea­

tures, the lexicographers preferred to consider one feature

at a time and to code all relevant words with respect to that

11

.. ... • .. "'"" ' • J,

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12

feature. The work was done directly at a key-punch machine.

For each feature, the result is a packet of cards consisting of

a header card identifying the given feature, and a sequence of

cards containing the words which are to be marked+ with re­

spect to that feature. However, before the packet can be used

as input data, some additional information must he supplied to

distinguish among homographs. For example, if nouns were

being coded with respect to the feature S83, there is nothing in

the header card containing S83 to indicate that the coding is

meant to apply only to the noun form of a homo graphic set. In

order to distinguish among homographs, an additional card is

used containing more information regarding the feature content

of the words which are to be marked + with respect to the fea­

ture indicated on the header card. For the above example, the

additional card would specify that the word must be a noun.

However, the distinction may be at a lower level, as for ex­

ample, in words like bat (baseball bat, or the bat which flies),

in which case the condition card might contain +NOUN and

+ANIMATE (SC 1, IN 2) to select the flying bat or +NOUN and

-ANIMATE (SC 1, -IN 2) to select the baseball bat.

The input cards for the LXMOD form of lexicon entry

modification (for words already in the lexicon--new word ad­

ditions will be described later) consist of the following:

1. A control card with $LXMOD starting in column 1.

2. A sequence of packets, each packet consisting of:

a. A header card indicating the feature type and number

to be added. Column 1 must be blank. The feature type

symbol must consist of two characters and must occupy

columns 2-3. Only one feature number is permitted, but

Page 290: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

it can be anywhere on the card fallowing the feature type

symbol.

b. Optionally, a condition card specifying sufficient f ea­

ture content to permit correct selection among homo­

graphs. Column 1 must be blank. The characters IF

must appear in columns Z-3. The feature types and num­

bers start anywhere after column 3. If more than one

feature type and number is specified, a comma is used as

a separator. Blanks may appear anywhere within the

series of feature types and numbers. Only one card of

this type may be used (at present).

c. A sequence of word cards containing the words to be

marked. Each card must start in column 1. There can

be any number of words on a card, with one or more

blanks as separators. A word cannot be continued from

one card to the next.

3. The last packet must be followed by a card with XX in

columns 1 - Z.

13

The first step in the LXMOD routine is alphabetic sorting

and rearrangement of the input data. If only one packet were

allowed, the need for sorting could be eliminated by requiring

that the sequence of words in the input data be in alphabetic

order. This, in fact, is what is done in the second form of

lexical entry modifications, called LXMODA, described below.

However, the purpose of the LXMOD facility is to permit the

processing of several packets in one run. It would be very in­

efficient to run through the lexicon separately for each packet.

Therefore, as the first step in the LXMOD routine, the input

data is rearranged. For each word in the input data, a logical

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..

record is formed consisting of a number indicating the word

length, the word itself, the material in the header card of the

packet containing the word, and the material on the condition

card if one was used. All blanks are deleted. The nur..1ber is

separated from the word by a comma, and the condition is

separated from the header by a slash. For example, given

the packet

SS 18 Header Card IF SC 20, SS 4, IN 7 Condition Card

I I I I

\fORD Word Card

one of the logical records, after rearrangement, would be

4, WORDSS18/SC20, SS4, 1N7.

The logical records are then sorted in a field consisting of the

word and (for reasons discussed below in connection with addi­

tions of new words) the two characters immediately following

the word. The inclusion of the two additional characters does

not affect the ordering of different word forms, but only the

ordering of different occurrences of the same form. Multiple

occurrences of the same form could result from the same

word occurring in mo~e than one packet, or from homographs

in the same or different packets.

After the sort, the resulting list is compared with the

existing lexical entries in one pass and the appropriate modi­

fications are made.

U a word (with specified feature content if a condition is

used) is not present in the lexicon, a comment to that effect is

printed out. The word is not automatically inserted. This

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lS

policy was adopted in order to prevent some of the typographi­

cal errors in the input data from entering the lexicon. Simi­

lar precautions were not taken in the gloss :i ry modification

procedure because the glossary is small enough so that error

detection and correction involves very little work. The volume

of lexical entries, on the other hand, is large enough to make

error detection and correction a significant problem and

should be taken into account at every stage of the processing.

New words (which are not necessarily new forms) are

added by including a packet with a header card which, in place

of a feature type and number, contains the characters AA fol­

lowed by a tree in SNOBOL linear form. This tree becomes

the part of the lexical entry dominated by the new form (see

Figures 4 and 5). The tree must contain the branches SC, SS,

CO, IN, RU, and as much additional coding as required to

distinguish the new form from homographic forms, if present.

It is advisable, although not required by the programs, to in­

clude at least the coding for the SC type of feature. To illus -

trate, a packet for entering new noun forms (SC 1) might con­

sist of:

AA(SC(i), SS, CO, IN, RU) WORD WORD - - - - - - - -

Header Card

Word Cards

It was mentioned above that in sorting the input words, the

sort field was extended to include the first two non-blank .char­

acters on the header card associated with a given word. The

reason for this can be given, now that the procedure for en­

tering new words has been described. It is desirable to permit

' ....

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new words to receive additional coding, during the run in

which they are first entered into the lexicon, by permitting

them to appear in other packets simultaneously with their ap­

pearance in a new-word packet. But since additional coding

can be applied only to words already in the lexicon, a word

appearing in a new-wo1·d packet must be processed before oc­

currence of the same word in other pack,~ts. This sequence

l I..>

of processing is achieved by extending the sort field as de­

scribed above and using the characters AA as the first non­

blank characters (columns Z-3) on the new-word packet header

card.

The LXMOD facility can also be used to print out selected

lexical entries. This is done by forming a packet with a

header card containing the characters ZZ in columns Z-3.

The optional condition card can also be used. The use of ZZ

as the symbol for selecte d printout ensures that printout will

be the last process applied to a given word, i.e., the printout

will contain all modifications which may have been applied to

the given word during the run in which the word was selected

for printout. The format of the p:dntout is the SNOBOL linear

representation of the subtree dominated by the word being

printed out (see Figures 4, 5).

Since sorting the input words requires that all of the input

be in core at once, there are space limitations on the number

of words that can be handled in one run. The precise number

depends on the amount of coding and conditions associated with

the various words. However, the limit appears to be in the

range of 500-700 words. The running time for processing 500-

700 words is somewhat under 5 minutes (roughly, 1 / 3 of the

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time for compilation, 1 / 3 for sorting, and 1 / 3 for the actual

modification of the lexical entries).

LXMODA - Lexicon entry L1odifications - Form 2

The LX?viODA facility performs the same functions as the

LXMOD facility, but takes sorted input data and can therefore

bypass the sorting routine. Thus, processing time is de­

creased, and more importantly, space limitations are elimi­

nated. LX?viODA is used for the initial loading of large word

classes, and for the coding of large subclasses. Since the

lexicographers normally work with alphabetized word lists,

no extra work is required to obtain sorted input data.

The input format for LXMODA is the same as for LXMOD

(described above) except that the control card contains

$LXMODA starting in column 1, and there can be only one

packet per run.

LXPNT - Printout of all lexical entries

The control card for printout of all lexical entries con­

tains $LXPNT starting in column 1. The present printout

format is shown in Figure 8.

LXSCN - Printout of lexical entries with specified feature patterns

The input cards are:

1. A control card containing $LXSCN starting in column 1.

17

2. A card with a sequence of feature types and numbers, with

a comma as a separator between successive feature-number

specifications. A minus may precede a feature type. Other -

wise, plus is implied. Blanks may occur anywhere.

A lexical entry is considered as satisfying the specification if

it does not contradict it, i.e., the feature pattern is considered

..; \ . .,....

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to be a partial rather than an exhaustive description. For ex­

ample, if the feature specification were SC 1, all lexical en­

tries marked +SC 1 would be printed out regardless of the re­

mainder of their coding. If the specifications wer~ -SC 1, all

entries except those marked +SC 1 would be printed out.

The printout format is the SNOBOL linear representation

of the subtree dominated by the word being printed out (see

Figures 4, 5).

LXSFT - Printout of all different feature patterns

If each feature pattern is thought of as defining a class of

lexical entries, then LXSFT provides a list of all the classes

and the corresponding feature patterns.

The control card is $LXSFT starting in column 1.

The printout format is the SNOBOL linear representation

of the subtree dominated by the first word in the lexicon with

the given feature pattern.

Overall (Supervisory) Control

The non-modificational facilities (GLPNT, RDPNT,

LXPNT, LXSCN, LXSFT) require only an input tape. The

modificational facilities (GLMOD, RDMOD, LXMOD,

LXMODA) require an input tape (the current lexicon) and an ·

output tape (the modified lexicon). If only one section of the

lexicon is modified, the other sections must be copied onto

the output tape in the correct order. For example, if a run

involves only redundancy rule modification (RDMOD), the

glossary must be copied onto the output tape before the redun­

dancy rule modification is carried out, and the lexical entries

must be copied after the redundancy rule modification. Also,

if both modificational and non-modificational facilities are

''-'

------~-..-,.-. ..--..,----,-...,.,,..,._,.~----........... --.,--.:-,,..__, ........ .......,..=,....:= , _ ____ __

Page 296: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

used in the sam e run, some means must be provided for se­

lecting the version of the lexicon (old or new) to which the non­

modificational facilities are to be applied. These aspects of

system management are handled by the following control cards

and conventions.

The input tape (the current lexicon) is mounted on channel

B 5 (logical unit 1 O).

The output tape (the modified lexicon), if used, is mounted

on channel AS (logical unit 9).

In a non-modificational run, only an input tape need be

used. An output tape can be used simultaneously, if desired,

to obtain a copy of the lexicon. If only an input tape is used,

the only additional control card required is a card with

$NDRUN starting in column 1. This card is the final control

card. Its function is to rewind and unload the tape. The re­

maining control cards can be in any order, but it will save

some running time to carry out the processing in the order:

glossary- -redundancy rules- -lexical entries.

In a modtficational run, an additional control card is re­

quired for each segment of the lexicon which does not undergo

modification. These cards are $NDGL, $NORD, and $NDLX

for the glossary, the redundancy rules, and the lexical entries,

respectively, and all start in column 1. The function of these

cards is to copy the respective segment of the lexicon onto the

output tape. If a given segme-nt of the lexicon is modified, the

presence of the corresponding $NDXX card will have no effect,

provided that it follows (not necessarily immediately) the mod­

ification card and associated data cards in the input data.

Modifications or copies must be done in the order: glossary--

• • "I \ •f:(4, • •

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redundancy rules- -lexical entries. Non-modificational con­

trol cards can be placed anywhere, so long as they do not

separate some other control card from its associated data

cards. However, it will save running time if all of the glos­

sary processing is done before all of the redundancy rule pro­

cessing, and the lexical entry processing is done last. The

final card (just as in the non-modificational case) is $NDRUN

starting in column 1. A recommended outline of input data

and control card sequence is shown in Figure 9.

A run with only the following control cards:

$NDGL

$NORD

$NDLX

$NDRUN

will yield a copy of the lexicon.

In a run involving both modificational and non-modifica­

tional facilities, the selection of the version of the lexicon to

be used with a given non-modificational control card is gov­

erned by the convention that the most recent version of the

relevant segment of the lexicon is used. Thus, if at the time

the non-modificational control card is processed, the relevant

segment of the lexicon has undergone modification, the modi­

fied version is used. Otherwise, the unmodified version is

used. For example, if it is desired to print out the current

glossary, then modify it and print out the modified version,

the following sequence of cards is used:

Page 298: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

$GLPNT

$GLMOD

$GLPNT

input data for glossary modification

additional processing

If no additional processing is desired, the second $GLPNT

would be followed by the sequence:

$NDGL

$NORD

$NDLX

$NDRUN

The second $GLPNT card could be placed anywhere before the

$NDRUN card, but the above sequence is preferable because

it keeps the rewinding of the tape to a minimum.

Reference

1. N. Chomsky, "Aspects of the Theory of Syntax", The

M. I. T. Press, Cambridge, Massachusetts, 1965.

Page 299: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

t I .

~

... __

_ ,

AD

J

fea

ture

fea

t.

fea

t.

specif

ica

tio

n

spec.

spec.

Fig

ure

1.

A p

oss

ible

glo

ssa

ry

fo

rmat

wit

h t

he S

C t

yp

e o

f fe

atu

re i

n a

sp

ecia

l p

osi

tio

n.

Page 300: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

: ' . " f

spec.

spec.

feat.

sp

ec.

Fig

ure

Z.

Th

e g

loss

ary

fo

rmat

actu

all

y u

sed

, w

ith

all

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re t

yp

es

rep

resen

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un

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.

Page 301: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

·J

I .

!

• I I ri II :,

·1

3

etc

.

Fig

ure

3.

A p

oss

ible

lex

ical

en

try

for

111a

t.

Page 302: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

'

·,

Fig

ure 4

.

·1

-D

UM

MY

RO

OT

Th

e l

ex

ical

en

try

fo

rmat

actu

all

y u

sed

, il

lustr

ati

ng

th

e r

ep

resen

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on

of

ho

mo

gra

ph

ic e

ntr

ies.

Page 303: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

I l i'

I l I . ~

.,-

DU

MM

Y R

OO

T

Fig

ure

5.

Th

e l

ex

ical

en

try

fo

rmat

actu

all

y u

sed

, il

lust

rati

ng

th

e r

ep

resen

tati

on

of

no

n-h

om

og

rap

hic

en

trie

s.

Page 304: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

I I ., 1

'

ST

R6

) (S

TR

4)

(ST

R7

) (S

TR

S)

(ST

R8

S

TR

1}

(S

TR

Z)

(ST

R3

}

(ST

R4

Fig

ure

6

Page 305: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

SC 1 NOUN/ IN i =HUMAN=/ IN 2 =ANI}JATE=/ IN 3 =ABSTRACT=/ IN 4 =PROPER=/ ss 1 DET l*•*I ss 2 DETl•••IS/ ss 3 •••IS/ ss 4 •••I

SC 2. VERB/ ss i •••/NP/ ss 2 •••IS/ ss 3 •••/NP/S/ ss 4 ·••I PP/

Figure 7. Glos aary Printout Format

Page 306: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

ADAM /SC/ 1 /SS/ /CO/ /IN/ 1 /RU/ ADDITION /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADDRESS /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADJUSTMENT /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADMINISTRATION /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADMIRAL /SC/ 1 /SS/ /CO/ /IN/ 1 /RU/ ADMIRATION /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADMISSION /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADOPTION /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADULT /SC/ 1 /SS/ /CO/ /IN/ 1 /RU/ ADVANTAGE /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADVENTURE /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADVERTISEMENT /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADVERTISING /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADVICE /SC/ 1 /SS/ /CO/ /IN/ /RU/ ADVISER /SC/ 1 /55/ / CO/ /IN/ 1 /RU/ ADVOCATE /SC/ 1 /SS/ /CO/ /IN/ 1 /RU/ AEROPLANE /SC/ 1 /SS/ /CO/ /IN/ /RU/

Figure 8, Lexical entry printout format.

Page 307: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

$NDGL

$NORD

$NDLX $NDRUN

all processing having to do with the glossary

all redundancy rule processing

all lexical entry processing

Figure 9. Outline of recommended input data and control card 1equence for a modificational run .

. -~--= . ------ --_ ....... ..:::.::::::.-----, .... .,..,..,_,..,,,.,...--~ ... -_.- - ·- - ----

Page 308: DTIC · phrase complementation, relative clause formation, two types of question construction, indirect object and prepositional phrase con structions, passive constructions, aspectual

Unclassified Security Classification

DOCUMENT CONTROL DA TA • R&D (Security cl•••lllc•tlon ol title, body ol •betr•ct •nd lnde1rlnl _.note ,'lon muet be entered wflen the onr•II report i• el1111•illed)

I . ORI GINA TING ACTIVl'!'Y (Corpor•te euthor) 2• .. EPO .. T IECU .. ITY C L.AISIFlt;ATIO•I

IBM- T. J. Watson Research Center Unclassified

Yorktown Heights, New York 10598 Z b . GROUP

L

J. Al!PORT TITLE

"Specification and Utilization of a Transformational Grammar. 11

4 . OESCRIPTIVI! NOTES (Type ol report and lncluelve d•tH)

Scientific Reoort 5. AUTHOR(SJ (L••t nane, llret n•me, Initial)

'

Lieberman, David V. et al

6 , REPORT DATE 1, . T-OTAL. NO . 01' PAGEi 7b. NO . 01" REl"I

April 1966 308 12 la. CONTRACT OR GRANT NO. la. 0 .. IGINATO .. 'I REPORT NUMBE .. (SJ

AF 19(628)-5127 b. P .. OJIIC T NO .

c . .,,. OTHII .. "JPO .. T No(I) (Any ot11e,n1o1111ber• dl•t may ..... ,,,..d thl• report

d.

10, AVAILABILITY/LIMIYATION NOTICES

11 , SUPPL EMEN TA"Y NOTEI U. SPONIO .. ING MILITARY ACTIVITY

Electronic Systems Di vision Air Foree Systems Command - USAF Laurence G. Hanscom Field, Mass,

13, ABSTRACT

Scientific Report No. 1 contains four (4) parts: Part I - The IBM Core Grammar of Enslish.

Our current grammar of English is presented in full, and numerous derivations are carried out in detail to illustrate the current generative power of the grammar.

Part II - Desisn of a Grammar Tester. The design considerations on which the present version of the tester wa.s based are discussed, and a set of tentative input, output and control formats are presented.

Part W - Prosrammin& for the Grammar Tester. A LISP implementation of the grammar tester is presented. The overall flow of control and the various special functions are described.

Part IV - Comfuter SUffOrt for Lexicon DeveloEment. A program package (programmed in SNOBOL) to facilitate the compilatior • modification, scanning, etc., of the lexicon is described.

(D. v. Lieberman)

DD FORM 1 JAN t• 1473 Unclassified

.! . Security Cla•• ification

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Unclassified Securit Clr-ssification

u . LINK A LINK B LINK C KEY WORDS

ROL.E WT ROL.E WT ROL.E WT

Language Processing

Linguistics

Grammar

Syntax

Lexicography

INSTRUCTIONS

1. ORIGINATING ACTIVITY: Enter the name and address of the contractor, subcontractor, grantee, Department of De­fense act iv it y or other organization ( corporate author) issuing the report,

2a. REPORT SECURITY CLASSIFICATION: Enter the over­all security classification of the report, Indicate whether "Restricted Data" is included. Marking is to be in accor~ ance with appropriate security regulations,

2b. GROUP: Automatic downgrading is specified in DoD Di· rective 5200, 10 and Armed Forces Industrial Manual. Enter the group number. Also, when applicable, show that optional markings have been used for Group 3 and Group 4 as author• ized.

3. REPORT TITLE: Enter the -::omplete report title in all capital letters. Titles in all CJISes should be unclassified. lf a meaningful title caMot be selected without classifica­tion, show title classification in all capitals in parenthesis immediately .following tl\e title,

4, DESCRIPTIVE NOTES: If appropriate, enter the t ypc of rel,lort, e. g,, interim, progress, summary, annual, or final, Give the inclusive dates when a specific reporting pd iod is covered.

S. AUTHOR(S): Enter the name(s) of author(s) as ·shown on or in the report, Ent et last name, ,first name, middle initial, If :r.ilitary, ·show rank en-:i branch of service, The name of the principal oathor is an absolute minimum requirement.

6. REPORT DAT'.!:: Enter the date of the report as day, month, year; or month, year, If more than one date appears on the report, use date of public at ion.

7a. TOTAL NUMBER OF PAGES: The total page count shou~d follow normal pa1inat4on procedures, i, e., enter the number of pages containing information.

7b . NUMBER OF REFERENCES: Enter the total number of references cited in the report,

8a. CONTRACT OR GRANT NUMBER: U appropriate, enter the applicable number 'of the contract or grant under which the report was written.

Sb, 8c, & 8d. PROJECT NUMBER: Enter the appropriate military department identification, such as project number, subproject number, system numbers, task nurfiber, t!tc,

9a. ORIGINATOR"S REPORT NUMBER(S): Enter the offi• cial report number by which the document will be identified and controlled by the ori1inating activittt• This number must be unique to this report.

9b. OTHER REPORT NUMBER(S): If the report has been assigned any other report numbers ( either by the originator or by the sponsor), also t-nter this number(s),

10, AVAILABILITY/LIMITATION NOTICES: Enter any lim­itations on further dissemination of the report, other than those

GPO 886• 551

impos•?d by security classification, using st~ndard' statements such as:

(1) "Qualified requesters may obtain copies of this report from DDC."

(2) "Foreign announcement and dissemination of this report by DDC is not authorized."

(3) "U. S. Government agencies may obtain copies of this report directly from DOC, Other qualified DOC users shall request through

(4) "U. S. military agencies may obtain copies of this report directly from DDC. Other qualified users shall request thrOUf!:h

"

" (5) "All distribution of this report is controlled. Qual•

ified DOC users shall request through

" If the report has been furnished tc the Office of Technical

Services, Department of Commerce, for sale to the public, indi­cate this fact and enter the prictf, if known.

11, SUPPLEMENTARY NOTES: Use for additional explana­tory notes,

12, SPONSORING MILITARY ACT!VITY: ·Enter the name of the departmental project office or laboratory sponsoring (pay­in~ for) the research and development, Include addre&s,

13 . ABSTRACT: Enter an abstract giving a brief and factual summary of the document indicative of the report, even though it may also appt: u elsewhere in the body of the technical re• port . If adffitional space is required, a continuation sheet shall be attached .

It is highly desirable that the abstrac t of classified reports be unclassified. Each paragraph of the abstract sh"ll end with an indication of the military security classification of the in­formation in the paragraph, represeftted as (TS), (SJ . (CJ, nr (U) .

There is no limitation ,ra the length of the abstract. How • ever, the suggested length is from 1 SO t'.> 225 words.

I ' 14. KEY WORDS: Key words are technically meaningful terms or short phrases that characterize a report and may be used as index entries for cataloging the report . Key words must be selected so Uiat no security classification is required. Identi· fiers, such as equipment model designation, trade name, military project code name, geographic location, may be usert as key words but will be followed by an indication of technical con­text. The assignment of links, rules, and weights is optional .

Unclassified Security Classification

-- ------- -

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IBM - Research Division P. O. Box 218

Yorktown Heights, New York 10598

MEMORANDUM TO:

SUBJECT:

ENCLOSURE 1:

THOMAS J. WATSON RESEARCH CENTER

July 22, 1966

Distribution List

Scientific Report No. 1 - Interim entitle d, "Specification and Utilization of a Transform~tional Grammar," by D. Lieberman

Form DD 1473

Copies of the subject Scientific Report, prepared for the Air Force Cambridge Research Laboratories, Office of Aerospace Research, United States Air Force, under Contract AF 19(628)-5127, which was recently disseminated, contained a Form DD 1473 with incomplete information.

Accordingly. you are requested to substitute the enclosed Form DD 1473 for the one contained in -the subject Scientific Report.

JHS/ et Enclosure

Man Reaearch Contract•

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Unclas siiied Security Classification

.. DOCUMENT CONTROL DA TA • R&D . -(Security cl•Hlllcatlon ol lllle , body al •balr•cl •nd indeicin, .,nolalion mual be enlered wh•n lhe over•II raport i • cla s s , t ied)

1 OJ:llr.lNATIN G ACTIVITY (Corporate author) 2• - REPORT SIE CURI TV CLASSIFICATION

IBM - T. J. Watson Research Center Unclassified 2b GROUP

Yorktown Heights, New York 10598 3 nEPORT TITLE

"Specification and Utilization of a Transformational G .::- a1r.,mar. II

4 DESCRIPTIVE NOTE~ (Type al reporl •nd lnc/ualve d•tea)

Scientific Interim Reoort S AUTHOR(S) (L••t name, llral name , Initial)

Lieberman, David v. et al 6 - REPORT DATE 7a . TOTAL. NO . OF PAGES l 7b. NO . OF REF!I

March 1966 308 12 811 CONTRACT OR GRANT NO . AF19{628)-5127 9•- Ol'IICIINA TOR'S REPORT NUMBER(S)

h . PROJECT No , 4641, 02

c DOD Element 62405304 lb . OTHIEA AIEPOAT NO(S) (Any olhernumbera that m•y be •••1"1ed th I• reporl)

d DOD Subelement 674641 AFCRL- 66- 270 10 A. VA IL ABILITY / LIMITA.TION NO rlCIES

Distribution of this document is unlimited.

1 I SUPPL EMIENTARY NOTES 12 , SPONSORING MILITARY ACTIVITY

Hq. AFCRL, OAR (CRB) United States Air Force L. G. Hanscom Field1 Bedford1 Mass.

13 ABSTRACT

Scientific Report No. 1 contains four ( 4) parts:

Part I - The IBM Core Grammar of English. Our current grammar of English is presented in full, and numerous derivations are carried out in detail to illustrate the current generative power of the grammar.

Part ll - Deaisn of a. Gramrnar Tester. The design considerations on which the present version of the tester was baaed are discussed, and a set of tentative input, output and control formats are present ed.

Part m ·- _?rogramming for the Grammar Teater. An LISP implementation of the grammar tester is presented. The over-all flow of control and the various special functions are described.

Part IV - Com2uter Suf!?ort for Lexicon Develo;ement. A program package (programmed in SNOBOL) to facilitate the compilation, modification, scanning, etc., of the lexicon is described.

(D. V. Lieberman)

DD FORM I JAN 154 1473 Unclassified

Security Classification

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Unclassified ----S~curity Classificittion 14

KEY W0 .. 05

Language Processing

Linguistic a

Grammar

Syntax

Lexicography

. . . ._

LINK A LINK

.. 01.1: WT WT

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(2)

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(5)

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11, SUPPLEMENTARY NOTES: Use for additional explana­tory notes.

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Uncla• aified Security Classification