Predicting Native Language from Gaze
April 24, 2017 ยท Declared Dead ยท ๐ Annual Meeting of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz
arXiv ID
1704.07398
Category
cs.CL: Computation & Language
Citations
29
Venue
Annual Meeting of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
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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