From Language to Family and Back: Native Language and Language Family Identification from English Text

Ariel Stolerman; Aylin Caliskan Islam; Rachel Greenstadt

From Language to Family and Back: Native Language and Language Family Identification from English Text

Ariel Stolerman, Aylin Caliskan Islam, Rachel Greenstadt

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

Abstract

Revealing an anonymous author’s traits from text is a well-researched area. In this paper we aim to identify the native language and language family of a non-native English author, given his/her English writings. We extract features from the text based on prior work, and extend or modify it to construct different feature sets, and use support vector machines for classification. We show that native language identification accuracy can be improved by up to 6.43% for a 9-class task, depending on the feature set, by introducing a novel method to incorporate language family information. In addition we show that introducing grammar-based features improves accuracy of both native language and language family identification.

Original language	English (US)
Title of host publication	Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publication	Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop
Editors	Annie Louis, Richard Socher, Julia Hockenmaier, Eric K. Ringger
Publisher	Association for Computational Linguistics (ACL)
Pages	32-39
Number of pages	8
ISBN (Electronic)	9781937284473
State	Published - 2013
Event	2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Atlanta, United States Duration: Jun 9 2013 → Jun 14 2013

Publication series

Name	Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop

Conference

Conference	2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013
Country/Territory	United States
City	Atlanta
Period	6/9/13 → 6/14/13

ASJC Scopus subject areas

Linguistics and Language
Language and Linguistics
Computer Science Applications

Cite this

Stolerman, A., Islam, A. C., & Greenstadt, R. (2013). From Language to Family and Back: Native Language and Language Family Identification from English Text. In A. Louis, R. Socher, J. Hockenmaier, & E. K. Ringger (Eds.), Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop (pp. 32-39). (Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop). Association for Computational Linguistics (ACL).

From Language to Family and Back: Native Language and Language Family Identification from English Text. / Stolerman, Ariel; Islam, Aylin Caliskan; Greenstadt, Rachel.
Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop. ed. / Annie Louis; Richard Socher; Julia Hockenmaier; Eric K. Ringger. Association for Computational Linguistics (ACL), 2013. p. 32-39 (Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop).

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

Stolerman, A, Islam, AC & Greenstadt, R 2013, From Language to Family and Back: Native Language and Language Family Identification from English Text. in A Louis, R Socher, J Hockenmaier & EK Ringger (eds), Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop. Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop, Association for Computational Linguistics (ACL), pp. 32-39, 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013, Atlanta, United States, 6/9/13.

Stolerman A, Islam AC, Greenstadt R. From Language to Family and Back: Native Language and Language Family Identification from English Text. In Louis A, Socher R, Hockenmaier J, Ringger EK, editors, Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop. Association for Computational Linguistics (ACL). 2013. p. 32-39. (Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop).

Stolerman, Ariel ; Islam, Aylin Caliskan ; Greenstadt, Rachel. / From Language to Family and Back : Native Language and Language Family Identification from English Text. Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop. editor / Annie Louis ; Richard Socher ; Julia Hockenmaier ; Eric K. Ringger. Association for Computational Linguistics (ACL), 2013. pp. 32-39 (Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Student Research Workshop).

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abstract = "Revealing an anonymous author{\textquoteright}s traits from text is a well-researched area. In this paper we aim to identify the native language and language family of a non-native English author, given his/her English writings. We extract features from the text based on prior work, and extend or modify it to construct different feature sets, and use support vector machines for classification. We show that native language identification accuracy can be improved by up to 6.43% for a 9-class task, depending on the feature set, by introducing a novel method to incorporate language family information. In addition we show that introducing grammar-based features improves accuracy of both native language and language family identification.",

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From Language to Family and Back: Native Language and Language Family Identification from English Text

Abstract

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Conference

ASJC Scopus subject areas

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