Identifying the L1 of non-native writers: The CMU-Haifa system

Yulia Tsvetkov; Naama Twitto; Nathan Schneider; Noam Ordan; Manaal Faruqui; Victor Chahuneau; Shuly Wintner; Chris Dyer

Identifying the L1 of non-native writers: The CMU-Haifa system

Yulia Tsvetkov, Naama Twitto, Nathan Schneider, Noam Ordan, Manaal Faruqui, Victor Chahuneau, Shuly Wintner, Chris Dyer

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We show that it is possible to learn to identify, with high accuracy, the native language of English test takers from the content of the essays they write. Our method uses standard text classification techniques based on multiclass logistic regression, combining individually weak indicators to predict the most probable native language from a set of 11 possibilities. We describe the various features used for classification, as well as the settings of the classifier that yielded the highest accuracy.

Original language	English
Title of host publication	Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013
Editors	Joel Tetreault, Jill Burstein, Claudia Leacock
Publisher	Association for Computational Linguistics (ACL)
Pages	279-287
Number of pages	9
ISBN (Electronic)	9781937284473
State	Published - 2013
Event	8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013 - Atlanta, United States Duration: 13 Jun 2013 → …

Publication series

Name	Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013

Conference

Conference	8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013
Country/Territory	United States
City	Atlanta
Period	13/06/13 → …

Bibliographical note

Funding Information:
This research was supported by a grant from the Israeli Ministry of Science and Technology.

Publisher Copyright:
© 2013 Association for Computational Linguistics.

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Computational Theory and Mathematics

Access to Document

https://aclanthology.org/W13-1736

Cite this

Tsvetkov, Y., Twitto, N., Schneider, N., Ordan, N., Faruqui, M., Chahuneau, V., Wintner, S., & Dyer, C. (2013). Identifying the L1 of non-native writers: The CMU-Haifa system. In J. Tetreault, J. Burstein, & C. Leacock (Eds.), Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013 (pp. 279-287). (Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013). Association for Computational Linguistics (ACL). https://aclanthology.org/W13-1736

Tsvetkov, Yulia ; Twitto, Naama ; Schneider, Nathan et al. / Identifying the L1 of non-native writers : The CMU-Haifa system. Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013. editor / Joel Tetreault ; Jill Burstein ; Claudia Leacock. Association for Computational Linguistics (ACL), 2013. pp. 279-287 (Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013).

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title = "Identifying the L1 of non-native writers: The CMU-Haifa system",

abstract = "We show that it is possible to learn to identify, with high accuracy, the native language of English test takers from the content of the essays they write. Our method uses standard text classification techniques based on multiclass logistic regression, combining individually weak indicators to predict the most probable native language from a set of 11 possibilities. We describe the various features used for classification, as well as the settings of the classifier that yielded the highest accuracy.",

author = "Yulia Tsvetkov and Naama Twitto and Nathan Schneider and Noam Ordan and Manaal Faruqui and Victor Chahuneau and Shuly Wintner and Chris Dyer",

note = "Funding Information: This research was supported by a grant from the Israeli Ministry of Science and Technology. Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics.; 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013 ; Conference date: 13-06-2013",

year = "2013",

language = "English",

series = "Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013",

publisher = "Association for Computational Linguistics (ACL)",

pages = "279--287",

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Tsvetkov, Y, Twitto, N, Schneider, N, Ordan, N, Faruqui, M, Chahuneau, V, Wintner, S & Dyer, C 2013, Identifying the L1 of non-native writers: The CMU-Haifa system. in J Tetreault, J Burstein & C Leacock (eds), Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013. Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013, Association for Computational Linguistics (ACL), pp. 279-287, 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013, Atlanta, United States, 13/06/13. <https://aclanthology.org/W13-1736>

Identifying the L1 of non-native writers: The CMU-Haifa system. / Tsvetkov, Yulia; Twitto, Naama; Schneider, Nathan et al.
Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013. ed. / Joel Tetreault; Jill Burstein; Claudia Leacock. Association for Computational Linguistics (ACL), 2013. p. 279-287 (Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Tsvetkov Y, Twitto N, Schneider N, Ordan N, Faruqui M, Chahuneau V et al. Identifying the L1 of non-native writers: The CMU-Haifa system. In Tetreault J, Burstein J, Leacock C, editors, Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013. Association for Computational Linguistics (ACL). 2013. p. 279-287. (Proceedings of the 8th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2013).

Identifying the L1 of non-native writers: The CMU-Haifa system

Abstract

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Bibliographical note

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