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2020-08-27

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cc-by (c) Inurrieta, Uxoa et al., 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/174917

Learning about phraseology from corpora: A linguistically motivated approach for Multiword Expression identification

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https://doi.org/10.1371/journal.pone.0237767

Abstract

Multiword Expressions (MWEs) are idiosyncratic combinations of words which pose important challenges to Natural Language Processing. Some kinds of MWEs, such as verbal ones, are particularly hard to identify in corpora, due to their high degree of morphosyntactic flexibility. This paper describes a linguistically motivated method to gather detailed information about verb+noun MWEs (VNMWEs) from corpora. Although the main focus of this study is Spanish, the method is easily adaptable to other languages. Monolingual and parallel corpora are used as input, and data about the morphosyntactic variability of VNMWEs is extracted. This information is then tested in an identification task, obtaining an F score of 0.52, which is considerably higher than related work.

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Morfologia (Gramàtica), Semàntica, Aprenentatge automàtic

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Morphology (Grammar), Semantics, Machine learning

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Articles publicats en revistes (Filologia Catalana i Lingüística General)

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INURRIETA, Uxoa, et al. Learning about phraseology from corpora: A linguistically motivated approach for Multiword Expression identification. PLoS One. 2020. Vol. 15, num. 8, pags. e0237767. ISSN 1932-6203. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/174917

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