Predicting native language from gaze

Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

A fundamental question in language learning concerns the role of a speaker's first language in second language acquisition. We present a novel methodology for studying this question: analysis of eye-movement patterns in second language reading of free-form text. Using this methodology, we demonstrate for the first time that the native language of English learners can be predicted from their gaze fixations when reading English. We provide analysis of classifier uncertainty and learned features, which indicates that differences in English reading are likely to be rooted in linguistic divergences across native languages. The presented framework complements production studies and offers new ground for advancing research on multilingualism.

本文言語English
ホスト出版物のタイトルACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
出版社Association for Computational Linguistics (ACL)
ページ541-551
ページ数11
ISBN(電子版)9781945626753
DOI
出版ステータスPublished - 2017
外部発表はい
イベント55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 - Vancouver, Canada
継続期間: 2017 7 302017 8 4

出版物シリーズ

名前ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
1

Other

Other55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
国/地域Canada
CityVancouver
Period17/7/3017/8/4

ASJC Scopus subject areas

  • 言語および言語学
  • 人工知能
  • ソフトウェア
  • 言語学および言語

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