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Extraction of Type-Logical Supertags from the Spoken Dutch Corpus

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierLinguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
dc.contributor.authorMOOT, Richard
dc.contributor.editorAravind Joshi and Srinivas Bangalore
dc.date.accessioned2024-04-15T09:49:21Z
dc.date.available2024-04-15T09:49:21Z
dc.date.issued2010-06-01
dc.identifier.isbnISBN-10: 0-262-01387-8 ISBN-13: 978-0-262-01387-1
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198249
dc.description.abstractEnThe Spoken Dutch Corpus assigns 1 million of its 9 million total words a syn- tactic annotation in the form of dependency graphs. We will look at strategies for automatically extracting a lexicon of type-logical supertags from these dependency graphs and investigate how different levels of lexical detail affect the size of the resulting lexicon as well as the performance with respect to supertag disambiguation.
dc.language.isoen
dc.publisherMIT Press
dc.source.titleSupertagging: Using Complex Lexical Descriptions in Natural Language Processing
dc.title.enExtraction of Type-Logical Supertags from the Spoken Dutch Corpus
dc.typeChapitre d'ouvrage
dc.subject.halInformatique [cs]/Informatique et langage [cs.CL]
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.title.proceedingSupertagging: Using Complex Lexical Descriptions in Natural Language Processing
hal.identifierinria-00413347
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00413347v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Supertagging:%20Using%20Complex%20Lexical%20Descriptions%20in%20Natural%20Language%20Processing&rft.date=2010-06-01&rft.au=MOOT,%20Richard&rft.isbn=ISBN-10:%200-262-01387-8%20ISBN-13:%20978-0-262-01387-1&rft.genre=unknown


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