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

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.

Authors: 
Uxoa Inurrieta, tziar Aduriz, Arantza Díaz de Ilarraza, Gorka Labaka, Kepa Sarasola
Year: 
2020
Evaluation: 

Q1 aldizkaria

Publication place: 

Inurrieta U, Aduriz I, Díaz de Ilarraza A, Labaka G, Sarasola K (2020) Learning about phraseology from corpora: A linguistically motivated approach for Multiword Expression identification. PLoS ONE 15(8): e0237767. https://doi.org/10.1371/journal.pone.0237767

ISBN edo ISSN (aldizkari, kongresu, liburu edo liburu atalak): 
10.1371/journal.pone.0237767

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