Article | Proceedings of the 4th workshop on NLP for Computer Assisted Language Learning at NODALIDA 2015, Vilnius, 11th May, 2015 | Using shallow syntactic features to measure influences of L1 and proficiency level in EFL writings Link�ping University Electronic Press Conference Proceedings
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Title:
Using shallow syntactic features to measure influences of L1 and proficiency level in EFL writings
Author:
Andrea Horbach: Department of Computational Linguistics, Saarland University, Saarbrücken, Germany Jonathan Poitz: Department of Computational Linguistics, Saarland University, Saarbrücken, Germany Alexis Palmer: Institute for Natural Language Processing, Stuttgart University, Stuttgart, Germany
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Full text (pdf)
Year:
2015
Conference:
Proceedings of the 4th workshop on NLP for Computer Assisted Language Learning at NODALIDA 2015, Vilnius, 11th May, 2015
Issue:
114
Article no.:
004
Pages:
21-34
No. of pages:
14
Publication type:
Abstract and Fulltext
Published:
2015-05-06
ISBN:
978-91-7519-036-5
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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This paper proposes a framework for modeling and analyzing differences between texts written by different subgroups of learners of English as a Foreign Language (organized according to native language (L1) and proficiency level). Using frequency vectors of both POS-trigrams and mixed POS and function word trigrams, we compare learner language variants both to each other and to native English, German, and Chinese texts. We introduce the trigram usage factor metric for identifying sequences that are especially characteristic of a particular subgroup of learners. We show that distance between learner English and native English decreases with proficiency. Next we compare the distance between learner English and other native languages. Finally, we show that automatic proficiency classification benefits from using L1-specific classifiers.

Keywords: learner language; shallow syntactic features; proficiency classification

Proceedings of the 4th workshop on NLP for Computer Assisted Language Learning at NODALIDA 2015, Vilnius, 11th May, 2015

Author:
Andrea Horbach, Jonathan Poitz, Alexis Palmer
Title:
Using shallow syntactic features to measure influences of L1 and proficiency level in EFL writings
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Proceedings of the 4th workshop on NLP for Computer Assisted Language Learning at NODALIDA 2015, Vilnius, 11th May, 2015

Author:
Andrea Horbach, Jonathan Poitz, Alexis Palmer
Title:
Using shallow syntactic features to measure influences of L1 and proficiency level in EFL writings
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