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Title: Learning about phraseology from corpora: A linguistically motivated approach for Multiword Expression identification
Author: Inurrieta, Uxoa
Aduriz, Itziar
Diaz de Ilarraza, Arantza
Labaka, Gorka
Sarasola, Kepa
Keywords: Morfologia (Gramàtica)
Aprenentatge automàtic
Morphology (Grammar)
Machine learning
Issue Date: 27-Aug-2020
Publisher: Public Library of Science (PLoS)
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.
Note: Reproducció del document publicat a:
It is part of: PLoS One, 2020, vol. 15, num. 8, p. e0237767
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ISSN: 1932-6203
Appears in Collections:Articles publicats en revistes (Filologia Catalana i Lingüística General)

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