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Mining Parsing Results for Lexical Corrections
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In: Human Language Technologies as a Challenge for Computer Science and Linguistics ; 3rd Language & Technology Conference ; https://hal.archives-ouvertes.fr/hal-00360978 ; 3rd Language & Technology Conference, Oct 2007, Poznan, Poland. pp.ISBN 978-83-7177-407-2 (2007)
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Abstract:
International audience ; Successful parsing depends on the quality of the underlying grammar but also on the correctness of the lexicon that feeds the parser. The development of a lexicon both complete and accurate is an intricate and demanding task. A first step towards the improvement of a lexicon consists in identifying potentially erroneous lexical entries, for instance by using error mining techniques on large corpora (Sagot and de La Clergerie, ACL/COLING 2006) This paper explores the next logical step, namely the suggestion of corrections for those entries. This is achieved by running new analysis on the sentences rejected at the previous step, after having modified the information carried by the identified lexical entries. Afterwards, a statistical computation on the parsing results exhibits the most relevant corrections.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-00360978/file/ltc-final.pdf https://hal.archives-ouvertes.fr/hal-00360978/document https://hal.archives-ouvertes.fr/hal-00360978
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Mining Parsing Results for Lexical Correction: Toward a Complete Correction Process of Wide-Coverage Lexicons
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In: LTC 2007 - Third Language and Technology Conference ; https://hal.inria.fr/hal-00793052 ; LTC 2007 - Third Language and Technology Conference, Oct 2007, Poznan, Poland. pp.178-191, ⟨10.1007/978-3-642-04235-5_16⟩ (2007)
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Confondre le coupable : corrections à un lexique suggérées par une grammaire
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In: Actes de la 14e conférence sur le Traitement Automatique des Langues Naturelles ; TALN 2007 ; https://hal.archives-ouvertes.fr/hal-00384334 ; TALN 2007, Jun 2007, Toulouse, France. pp.315-324 (2007)
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