Constructional generalization over Russian collocations

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dc.contributor University of Helsinki, Department of Modern Languages 2010-2017 en
dc.contributor University of Helsinki, Department of Computer Science en
dc.contributor University of Helsinki, Department of Modern Languages 2010-2017 en
dc.contributor.author Kopotev, Mikhail
dc.contributor.author Pivovarova, Lidia
dc.contributor.author Kormacheva, Daria
dc.date.accessioned 2016-07-15T12:57:01Z
dc.date.available 2016-07-15T12:57:01Z
dc.date.issued 2016
dc.identifier.citation Kopotev , M , Pivovarova , L & Kormacheva , D 2016 , ' Constructional generalization over Russian collocations ' , Mémoires de la Société néophilologique de Helsinki , vol. Tome C , no. Collocations Cross-Linguistically , pp. 121-140 . en
dc.identifier.issn 0355-0192
dc.identifier.other PURE: 54947608
dc.identifier.other PURE UUID: 31a9e6e9-44f9-4260-82ff-fd8d4de99b72
dc.identifier.other ORCID: /0000-0002-4998-2952/work/28757074
dc.identifier.other ORCID: /0000-0002-5323-5271/work/39650028
dc.identifier.other ORCID: /0000-0002-0026-9902/work/81734748
dc.identifier.uri http://hdl.handle.net/10138/164759
dc.description.abstract The CoCoCo project aims to model multi-word expressions (MWEs) of diverse natures in a unified fashion. The algorithm predicts the most stable features in an n-gram—morphological, lexical, or constructional. In this article, we focus more on lexical compatibility of extracted collocations. At one extreme are lexically stable idioms, where no generalization is possible, e.g., lo and behold. Other collocations appear to be stable on a more abstract level of generalization. They are constructions where lexical items are replaceable but belong to the same semantic class, e.g., sleight of [hand/mouth/mind]. In this case, prediction of the entire semantic class is possible. To confirm this idea, we present a qualitative analysis of automatically extracted Russian MWEs. We then use distributional semantics methods to find semantic classes automatically and demonstrate that these correspond with manually annotated classes. This implies that the semantic classes can be used in the collocation detection algorithm. en
dc.format.extent 20
dc.language.iso eng
dc.relation.ispartof Mémoires de la Société néophilologique de Helsinki
dc.rights en
dc.subject 6121 Languages en
dc.subject 113 Computer and information sciences en
dc.title Constructional generalization over Russian collocations en
dc.type Article
dc.description.version Peer reviewed
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/acceptedVersion
dc.contributor.pbl
dc.contributor.pbl

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