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Title: | Verb similarity: comparing corpus and psycholinguistic data |
Author: | Gil Vallejo, Lara Coll-Florit, Marta Castellón Masalles, Irene Turmo, Jordi |
Others: | Universitat Oberta de Catalunya (UOC) Universitat de Barcelona (UB) Universitat Politècnica de Catalunya (UPC) |
Citation: | Gil-Vallejo, L., Coll-Florit, M., Castellón, I. & Turmo, J. (2017). Verb similarity: comparing corpus and psycholinguistic data. Corpus Linguistics and Linguistic Theory, 14(2). doi: 10.1515/cllt-2016-0045 |
Abstract: | Similarity, which plays a key role in fields like cognitive science, psycholinguistics and natural language processing, is a broad and multifaceted concept. In this work we analyse how two approaches that belong to different perspectives, the corpus view and the psycholinguistic view, articulate similarity between verb senses in Spanish. Specifically, we compare the similarity between verb senses based on their argument structure, which is captured through semantic roles, with their similarity defined by word associations. We address the question of whether verb argument structure, which reflects the expression of the events, and word associations, which are related to the speakers' organization of the mental lexicon, shape similarity between verbs in a congruent manner, a topic which has not been explored previously. While we find significant correlations between verb sense similarities obtained from these two approaches, our findings also highlight some discrepancies between them and the importance of the degree of abstraction of the corpus annotation and psycholinguistic representations. |
Keywords: | linguistics corpus linguistics psycholinguistics verb similarity semantic roles word associations |
DOI: | 10.1515/cllt-2016-0045 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/submittedVersion |
Issue Date: | 26-Jan-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Articles Articles cientÍfics |
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Gil-Vallejo et al_2017_Corpus Linguistics and Linguistic Theory_preprint.pdf | 1,03 MB | Adobe PDF | View/Open |
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