Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/174917
Full metadata record
DC FieldValueLanguage
dc.contributor.authorInurrieta, Uxoa-
dc.contributor.authorAduriz, Itziar-
dc.contributor.authorDiaz de Ilarraza, Arantza-
dc.contributor.authorLabaka, Gorka-
dc.contributor.authorSarasola, Kepa-
dc.date.accessioned2021-03-11T11:21:57Z-
dc.date.available2021-03-11T11:21:57Z-
dc.date.issued2020-08-27-
dc.identifier.issn1932-6203-
dc.identifier.urihttp://hdl.handle.net/2445/174917-
dc.description.abstractMultiword 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.-
dc.format.extent18 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherPublic Library of Science (PLoS)-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0237767-
dc.relation.ispartofPLoS One, 2020, vol. 15, num. 8, p. e0237767-
dc.relation.urihttps://doi.org/10.1371/journal.pone.0237767-
dc.rightscc-by (c) Inurrieta, Uxoa et al., 2020-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es-
dc.sourceArticles publicats en revistes (Filologia Catalana i Lingüística General)-
dc.subject.classificationMorfologia (Gramàtica)-
dc.subject.classificationSemàntica-
dc.subject.classificationAprenentatge automàtic-
dc.subject.otherMorphology (Grammar)-
dc.subject.otherSemantics-
dc.subject.otherMachine learning-
dc.titleLearning about phraseology from corpora: A linguistically motivated approach for Multiword Expression identification-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec703445-
dc.date.updated2021-03-11T11:21:57Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid32853283-
Appears in Collections:Articles publicats en revistes (Filologia Catalana i Lingüística General)

Files in This Item:
File Description SizeFormat 
703445.pdf1.07 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons