Show simple item record

dc.contributor.authorBerzak, Yevgeni
dc.contributor.authorShikanai, Chie
dc.contributor.authorFlynn, Suzanne
dc.contributor.authorKatz, Boris
dc.date.accessioned2017-12-21T16:16:03Z
dc.date.available2017-12-21T16:16:03Z
dc.date.issued2017-05
dc.identifier.urihttp://hdl.handle.net/1721.1/112920
dc.description.abstractA 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.en_US
dc.publisherAssociation for Computational Linguistics (ACL)en_US
dc.relation.isversionofhttp://dx.doi.org/10.18653/V1/P17-1050en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titlePredicting Native Language from Gazeen_US
dc.typeArticleen_US
dc.identifier.citationBerzak, Yevgeni, et al. "Predicting Native Language from Gaze." Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 30 July - 4 August, 2017, Association for Computational Linguistics, 2017. pp. 541–51.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Linguistics and Philosophyen_US
dc.contributor.mitauthorBerzak, Yevgeni
dc.contributor.mitauthorShikanai, Chie
dc.contributor.mitauthorFlynn, Suzanne
dc.contributor.mitauthorKatz, Boris
dc.relation.journalProceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2017-12-21T14:52:12Z
dspace.orderedauthorsBerzak, Yevgeni; Nakamura, Chie; Flynn, Suzanne; Katz, Borisen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4474-1727
dc.identifier.orcidhttps://orcid.org/0000-0003-4534-7385
dc.identifier.orcidhttps://orcid.org/0000-0002-0610-6725
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record