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Automatic syntactic analysis for detection of word combinations

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dc.contributor.authorGelbukh, A-
dc.contributor.authorSidorov, G-
dc.contributor.authorHan, S.-Y.-
dc.contributor.authorHernandez-Rubio, E-
dc.date.accessioned2023-03-09T01:46:11Z-
dc.date.available2023-03-09T01:46:11Z-
dc.date.issued2004-02-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65589-
dc.description.abstractThe paper presents a method for automatic detection of "non-trivial" word combinations in the text. It is based on automatic syntactic analysis. The method shows better precision and recall than the baseline method (bigrams). It was tested on a text in Spanish. The method can be used for enrichment of very large dictionaries of word combinations.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleAutomatic syntactic analysis for detection of word combinations-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-540-24630-5_29-
dc.identifier.bibliographicCitationCOMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, v.2945, pp 243 - 247-
dc.description.isOpenAccessN-
dc.identifier.wosid000189417900029-
dc.identifier.scopusid2-s2.0-24344476942-
dc.citation.endPage247-
dc.citation.startPage243-
dc.citation.titleCOMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING-
dc.citation.volume2945-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location독일-
dc.subject.keywordPlusCOLLOCATIONS-
dc.subject.keywordPlusEXTRACTION-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaLinguistics-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryLanguage & Linguistics-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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