“Talk to me with left, right, and angles”: Lexical entrainment in spoken Hebrew dialogue

Andreas Weise, Vered Silber-Varod, Anat Lerner, Julia Hirschberg, Rivka Levitan

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

It has been well-documented for several languages that human interlocutors tend to adapt their linguistic productions to become more similar to each other. This behavior, known as entrainment, affects lexical choice as well, both with regard to specific words, such as referring expressions, and overall style. We offer what we believe to be the first investigation of such lexical entrainment in Hebrew. Using two existing measures, we analyze Hebrew speakers interacting in a Map Task, a popular experimental setup, and find rich evidence of lexical entrainment. Analyzing speaker pairs by the combination of their genders as well as speakers by their individual gender, we find no clear pattern of differences. We do, however, find that speakers in a position of less power entrain more than those with greater power, which matches theoretical accounts. Overall, our results mostly accord with those for American English, with a lack of entrainment on hedge words being the main difference.

שפה מקוריתאנגלית
כותר פרסום המארחEACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
מוציא לאורAssociation for Computational Linguistics (ACL)
עמודים292-299
מספר עמודים8
מסת"ב (אלקטרוני)9781954085022
סטטוס פרסוםפורסם - 2021
אירוע16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021 - Virtual, Online
משך הזמן: 19 אפר׳ 202123 אפר׳ 2021

סדרות פרסומים

שםEACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

כנס

כנס16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021
עירVirtual, Online
תקופה19/04/2123/04/21

הערה ביבליוגרפית

Publisher Copyright:
© 2021 Association for Computational Linguistics

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