TY - GEN
T1 - Predicting native language from gaze
AU - Berzak, Yevgeni
AU - Nakamura, Chie
AU - Flynn, Suzanne
AU - Katz, Boris
N1 - Funding Information:
We thank Amelia Smith, Emily Weng, Run Chen and Lila Jansen for contributions to stimuli preparation and data collection. We also thank Andrei Barbu, Guy Ben-Yosef, Yen-Ling Kuo, Roger Levy, Jonathan Malmaud, Karthik Narasimhan and the anonymous reviewers for valuable feedback on this work. This material is based upon work supported by the Center for Brains, Minds, and Machines (CBMM), funded by NSF STC award CCF-1231216.
Publisher Copyright:
© 2017 Association for Computational Linguistics.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
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U2 - 10.18653/v1/P17-1050
DO - 10.18653/v1/P17-1050
M3 - Conference contribution
AN - SCOPUS:85040932352
T3 - ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
SP - 541
EP - 551
BT - ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
PB - Association for Computational Linguistics (ACL)
T2 - 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
Y2 - 30 July 2017 through 4 August 2017
ER -