A corpus-driven study of lexicalization models of English intransitive verbs

This bottom-up study applied a corpus-driven approach to extract the major lexicalization models of English intransitive verbs (EIVs) through an analysis of their meanings under the Ideal Motion Event Category inspired by Talmy. A 710-photo specialized multimodal corpus of EIVs was constructed for t...

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Bibliographic Details
Published in:Frontiers in psychology 2023-01, Vol.13, p.1059516-1059516
Main Authors: Wu, Xiaofang, Xiao, Kunxue, Wang, Min, Yang, Lifen
Format: Article
Language:English
Subjects:
corpus-driven study
ideal motion event category
lexicalization models of EIVs
Psychology
reasons
the specialized multimodal corpus of EIVs
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Summary:This bottom-up study applied a corpus-driven approach to extract the major lexicalization models of English intransitive verbs (EIVs) through an analysis of their meanings under the Ideal Motion Event Category inspired by Talmy. A 710-photo specialized multimodal corpus of EIVs was constructed for this purpose. Data analysis showed that the major lexicalization models of EIVs include [Motion + Patient], [Motion + Manner], [Motion + Path], [Motion + Result], [Motion + Location], and [Motion + Purpose]. In-depth analysis of these models identified three major possible reasons why EIVs cannot originally take direct objects: the incorporation of [Patient], the inheritance of the intransitive feature, and the internalization of the actions expressed by EIVs. By comparing Chinese learners' most misused EIVs with their corresponding Chinese verbs, the current study provides empirical data to illustrate why transitive misusages of EIVs might occur among Chinese learners. The findings of this study will help English learners and users better apply EIVs.
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2022.1059516