Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98785
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorLi, Jen_US
dc.creatorPeng, Ben_US
dc.creatorHsu, YYen_US
dc.creatorChersoni, Een_US
dc.date.accessioned2023-05-23T06:14:56Z-
dc.date.available2023-05-23T06:14:56Z-
dc.identifier.urihttp://hdl.handle.net/10397/98785-
dc.descriptionTenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023), May 2023, Dubrovnik, Croatiaen_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.rights©2023 Association for Computational Linguisticsen_US
dc.rightsThis publication is licensed on a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Junlin Li, Bo Peng, Yu-yin Hsu, and Emmanuele Chersoni. 2023. Comparing and Predicting Eye-tracking Data of Mandarin and Cantonese. In Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023), pages 121–132, Dubrovnik, Croatia. Association for Computational Linguistics is available at https://aclanthology.org/2023.vardial-1.12/.en_US
dc.titleComparing and predicting eye-tracking data in Mandarin and Cantoneseen_US
dc.typeConference Paperen_US
dc.identifier.spage121en_US
dc.identifier.epage132en_US
dcterms.abstractEye-tracking data in Chinese languages present unique challenges due to the non-alphabetic and unspaced nature of the Chinese writing systems. This paper introduces the first deeply-annotated joint Mandarin-Cantonese eye-tracking dataset, from which we achieve a unified eye-tracking prediction system for both language varieties. In addition to the commonly studied first fixation duration and the total fixation duration, this dataset also includes the second fixation duration, expressing fixation patterns that are more relevant to higher-level, structural processing.en_US
dcterms.abstractA basic comparison of the features and measurements in our dataset revealed variation between Mandarin and Cantonese on fixation patterns related to word class and word position. The test of feature usefulness suggested that traditional features are less powerful in predicting the second-pass fixation, to which the linear distance to root makes a leading contribution in Mandarin. In contrast, Cantonese eye-movement behavior relies more on word position and part of speech.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Y. Scherrer, T. Jauhiainen, N. Ljubešić, P. Nakov, J. Tiedemann & M. Zampieri (Eds.), Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023), p. 121-132, Dubrovnik, Croatia. Association for Computational Linguisticsen_US
dcterms.issued2023-05-
dc.relation.conferenceWorkshop on NLP for Similar Languages, Varieties and Dialects [VarDial]en_US
dc.publisher.placeDubrovnik, Croatiaen_US
dc.description.validate202305 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2041-
dc.identifier.SubFormID46346-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe start-up research fundsen_US
dc.description.pubStatusPublisheden_US
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