Using the Sketch Engine for second language learning: an experiment
description
Transcript of Using the Sketch Engine for second language learning: an experiment
Using the Sketch Engine for second language
learning: an experiment
Simon Smith & Alice Chen
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Personnel Designers of the Sketch Engine
– Adam Kilgarriff, Lexical Computing, Brighton– David Tugwell, Tech University, Budapest– Pavel Rychly, Masaryk University, Brno
Chinese implementation– Huang Chu-ren, Simon Smith and colleagues at Academia Sinica
This work– with Alice Mei-rong Chen, and previously with Cecilia Li-zhen
Lin– the generous support of Taiwan’s National Science Council (grant
95-2411-H-130-005-) is acknowledged
Sketch Engine… is at http://www.sketchengine.co.uk is a software program which
– analyses VERY large linguistic corpora– gives short summaries of word usage
has been used for dictionary production has not yet been used extensively in language
teaching and learning is available for Chinese, English and others gives a lot of information about context and
collocation of words (demo now, party? save?)
Word Sketch example: note collocation AND colligation
Concordance example
Collocation in language learning
Language learners find it difficult to distinguish between (near) synonyms
strong powerful, but– *powerful tea– *strong car
can consult Sketch Differences
Sketch differences example
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How can students use Sketch Engine?
Read, or do homework, as normal Try to guess new words from context, as normal Before using dictionary, go to Sketch Engine
– get a word sketch (short summary) of the new word’s usage
– explore the word’s usage further, by clicking on links in the word sketch
– explore grammatical relations: colligation patterns – use Sketch Differences to compare similar words
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Experiment: How useful is the Sketch Engine for Chinese learning?
1. Select some intermediate foreign students of Chinese
2. Test their knowledge (pre-test) of collocations in Chinese
3. Ask them to use Sketch Engine regularly in their studies
4. After a period, test them again (post-test)5. Evaluate their progress
Background of participants
Attempted to recruit current university students– Need incentives budget– Need teachers committed to project– Could assess progress in class
Used volunteers from two discussion boards– Limited number– Asked them to assess their own Chinese standard
0% 20% 40% 60% 80% 100%
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Proficiency
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Sample pre-test questions (4 of 16)
Collocation type questions (harder):
1. 李德朝侵入機場控制區並侵入飛機的行為造成了惡劣的 ___。 [ 結果 | 後果 ]
2. 這個小孩很聰明 , 可是不太守 _____的。 [ 規定 | 規矩 ]
Broader context questions (easier):
3. 為什麼我問你的時候,你沒有 ____我這件事? [ 告訴 | 告知 ]
4. 上課很認真,下了課也認真,可是她的 ___一直都不太好。 [ 結果 | 成績 ]
Average correct answers by question type
15
15.5
16
16.5
17
17.5
collocationquestions (SD
3.88)
broader contextquestions (SD
4.59)
all questions (SD4.08)
aver
age
times
ans
wer
ed c
orre
ctly
(out
of 2
3pa
rtici
pant
s)
Pre-test results
Number of informants Number of questions
2316
Highest scoreLowest score
157
Mean scoreStandard deviation
11.307.39
Post-test Questions about using SkE
– How often– Did they like it?– …
16 collocation questions– Some same word choices as pre-test (different sentences)– Others different
Problem: only 2 post-tests returned Cannot draw any conclusions
– Both commented that SkE had helped
Future project, next semester Will teach two very similar English classes
– same major, same motivation, same class size One control group
– Traditional vocab teaching One Sketch Engine user class
– Strong reliance on SkE» Teacher and students» In class, and for class prep
Compare grades on certain activities Predict that SkE class will outperform control group
through exposure to real, authentic language!
http://www.sketchengine.co.uk
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