Leif-Jöran Olsson "Dramawebben, The Swedish Drama Web" KB 9 oktober 2015

Overview

Numbers anddivisions

Thematicexamples

Presence andrelations

Training andevaluation

Final Comments

Dramawebben, The Swedish DramaWeb

Leif-Jöran Olsson

Språkbanken, University of Gothenburg, CLARIN-ERIC, SWE-CLARIN

2015-10-09

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Final Comments

Overview

I Dramawebben, The Swedish Drama Web

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Acknowledgements

I For the parts relating to Dramawebben (TheSwedish Drama Web) I gratefully acknowledgefinancial support from the Swedish ResearchCouncil (VR Dnr: 2011-6202).

I Thanks to project co-workers, Riksteatern andMusikverket.

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Text Encoding Initiative (TEI)

I Defacto standard for text encoding in theHumanities

I ModulesI Using XML Schema

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Goals of Dramawebben

I The project includes a baselined corpus of TEIdrama annotated plays

I Development of exploration and visualizationtools

I Engaging a vibrant communityI Educate students in TEI encoding and let them

be ambassadeurs spreading the wordI Target disciplines within the humanities, such as

linguistics, literary and theater history, studies inchildren’s culture, practical and theoreticalresearch in children’s theater, and arts tertiaryinstitutions.

<http://www.dramawebben.se>


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Perspective of Dramawebben

I The perspective is the one of the dramatic textas a working text.

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The context

I The baseline encoding covers the basicstructure of the drama text.

I On top of that, it is possible to add semanticannotation, which goes beyond the text itself,referring to the action below, behind or beyondthe actual words.

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The context (continued)

I All plays on Dramawebben(<http://www.dramawebben.se>) printed1880-1900 were selected. It ended up includingsome 70+ plays in all genres, children’s plays,drama and comedy, plays by female as well asby male dramatists.

I To tempt scholars in humanities with semanticencoding, we have started with onetheme–textile handicraft, which was a recurrentfeature of the plays by female playwrights of the1880’s.


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Visualisations

We produce several visualizations automatically byeXist-db extensions and apps.

I One kind of visualization is speeches divisioncharts. To get an indication of a skewed relationbetween female cast and female speeches onecan show the female percentage of speechesand cast side by side like in the following chart.

I Most plays in the selection have an equal shareof speeches in relation to the percentage offemale speaking roles.

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Speaker gender and speaker division

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Speaker gender division per play

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Female and child speeches division perplay

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Roles in cast list (and added) per play

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Result of searching for plays with aspecifc number of roles (excerpt)

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Handicraft

As a thematic coding we used the example oftextile handicraft since we believe that it cangenerate exciting issues and serve as an instructiveexample for other forms of semantic encoding.

I Using feature stucture elements, with key-valuepairs

I They can be tied to anchors to make themdiscontinuous

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The model (simplified)

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Ongoing handicraft in speeches per play

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Children’s play and food and drink terms

For children’s play we used the same basic parts ofthe model as for handicraft, that is:

I activity,I talk about activity,I and play objects

As an other example of potential thematic codingwe extract food and drink terms. For this I created asimple hierarchical lexical resource with cookingand serving utensils, ingredients, dishes, proceduresetcetera. These concept words were expandedmorphologically by other lexical resources to coverall forms and some spelling variation over time.

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Food and drink terms per play

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Occupations

As an other example of thematic coding we use theHistorical variant of the international standardclassification of occupations (ISCO) called HISCO.

I 10 top level categories 1–0 and five levels ofsubcategories.

I The SCB also adapt/align its svensk standard föryrkesklassificering (SSYK) to the ISCO standard

I This makes it possible to compare occupations inan international context and link (LOD) to otherdatasets and implementations

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Occupations in play text (differencehisco 5-8, isco 0)

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Occupations of role characters

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Most common occupations in oneselection for role characters

18 54020 arbetspiga16 58320 amiralitetslöjtnantdotter13 14120 adjunkt10 14140 elisabetsyster8 15120 f.d. författare8 99900 arbetare7 -1 allmosehjon7 20210 andre legationssekreterare7 17320 aktris6 58220 biträdande vaktkonstapel5 17120 kompositör5 54010 f.d. dräng5 55130 auktionsvaktmästare5 20110 borgarråd4 17140 dragspelerska

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Link to images for occupation

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Link to history of work DB

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Presence and relations

I PresenceI Relations

We combine parts of namesdates module, like<listPerson> and <listOrg> with relations in<listRelation> elements to create graphs of relationsbetween persons (cast and non-cast) or interactionon stage (cast only) sociograms.

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Presence)

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Sociograms

I Sociograms are created dynamically and canbe created based on any criteria of whatconstitutes interaction.

I These can also be weighted by giving a numericvalue to the @sortKey attribute of the <relation>element.

I Of course you can also create other types ofgraphs based on dynamic data.

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Sociogram for “The father”

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Sociogram for “The father” alternativeview

6

5

3

2

4

13

11

512

32 3

1

4

2

1

1

3

7

1

1

1Adolf Svärd

Margret

doktorÖstermark pastorJonas

Bertha

Nöjd

Laura

Mention Gephi, to work with graphs/networks.

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Personal relations

I Personal relations are coded by hand.I Every <person> shall have at least one

<relation> referencing it.I Organisations can also be part of these

relations.I To differentiate between persons and

organisations in the graphs we make the<person> nodes elliptic and the <org> onesrectangular.

I Cast persons have a solid node outline whilenon-cast persons have a dashed outline.

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Personal relations (continued)

I We have followed the default of three <relation>@type values “personal”, “social”, and “other”.

I These are represented by dashed, solid, anddotted edges respectively.

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Person relations in ”Fröken Julie”

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Person relations in ”The Father”

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Training and evaluation

The freely available (open license) resources can beused for training and evaluation

I The hand-coded and proof-read referentialstrings (names, places)

I The hand-coded and proof-read relations

I The occupations resourceI The timespecific complementary lexical

resources in addition to already existing ones

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Named entity recognition (NER) basedon dw-delkorpus1/dw-delkorpus2

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Named entity recognition (NER) resourcebased on dw-delkorpus1

<http://www.dramawebben.se/sites/default/files/dw-delkorpus1/swe-dw1-3class-model.ser.gz>to be used with eXist-db stanford-ner app.NB Fully automatically generated proof of concept,but can still be useful for your purposes.

<http://www.dramawebben.se/sites/default/files/dw-delkorpus1/swe-dw1-3class-model.ser.gz>

<http://www.dramawebben.se/sites/default/files/dw-delkorpus1/swe-dw1-3class-model.ser.gz>

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Female talk not about men

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I Resources available with open licenses:<http://www.dramawebben.se>

I Tools used or mentioned (not Dramawebbenspecific) with open licenses: eXist-db apps<https://github.com/ljo/exist-tei-graphing>,<https://github.com/ljo/exist-sparql> and<https://github.com/eXist-db/jfreechart>, moreunder <https://github.com/ljo/> and<https://github.com/eXist-db/>

I Graphs can be used in svg, graphml and gexfoutput


<https://github.com/ljo/exist-tei-graphing>

<https://github.com/ljo/exist-sparql>

<https://github.com/eXist-db/jfreechart>

<https://github.com/ljo/>

<https://github.com/eXist-db/>

Leif-Jöran Olsson "Dramawebben, The Swedish Drama Web" KB 9 oktober 2015

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Transcript of Leif-Jöran Olsson "Dramawebben, The Swedish Drama Web" KB 9 oktober 2015