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Automatic enrichment of a very large dictionary of word combinations on the basis of dependency formalism

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dc.contributor.authorGelbukh, A.-
dc.contributor.authorSidorov, G.-
dc.contributor.authorHan, S.-Y.-
dc.contributor.authorHernandez-Rubio, E.-
dc.date.accessioned2023-03-09T01:15:28Z-
dc.date.available2023-03-09T01:15:28Z-
dc.date.issued2004-04-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65578-
dc.description.abstractThe paper presents a method of automatic enrichment of a very large dictionary of word combinations. The method is based on results of automatic syntactic analysis (parsing) of sentences. The dependency formalism is used for representation of syntactic trees that allows for easier treatment of information about syntactic compatibility. Evaluation of the method is presented for the Spanish language based on comparison of the automatically generated results with manually marked word combinations.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleAutomatic enrichment of a very large dictionary of word combinations on the basis of dependency formalism-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-540-24694-7_44-
dc.identifier.bibliographicCitationMICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, v.2972, pp 430 - 437-
dc.description.isOpenAccessN-
dc.identifier.wosid000221506600044-
dc.identifier.scopusid2-s2.0-9444239780-
dc.citation.endPage437-
dc.citation.startPage430-
dc.citation.titleMICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE-
dc.citation.volume2972-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location독일-
dc.subject.keywordAuthorcollocations-
dc.subject.keywordAuthorparsing-
dc.subject.keywordAuthordependency grammar-
dc.subject.keywordAuthorSpanish-
dc.subject.keywordPlusCOLLOCATIONS-
dc.subject.keywordPlusEXTRACTION-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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