Mining Parsing Results for Lexical Corrections

Lionel Nicolas 1, * Jacques Farré 1 Eric De La Clergerie 2
* Auteur correspondant
Abstract : 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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Communication dans un congrès
3rd Language & Technology Conference, Oct 2007, Poznan, Poland. Wydawnictwo Poznańskie Sp. z o. o., pp.ISBN 978-83-7177-407-2, 2007
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https://hal.archives-ouvertes.fr/hal-00360978
Contributeur : Jacques Farré <>
Soumis le : jeudi 12 février 2009 - 17:56:44
Dernière modification le : vendredi 27 février 2009 - 10:36:17
Document(s) archivé(s) le : mardi 8 juin 2010 - 20:45:55

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  • HAL Id : hal-00360978, version 1

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Lionel Nicolas, Jacques Farré, Eric De La Clergerie. Mining Parsing Results for Lexical Corrections. 3rd Language & Technology Conference, Oct 2007, Poznan, Poland. Wydawnictwo Poznańskie Sp. z o. o., pp.ISBN 978-83-7177-407-2, 2007. 〈hal-00360978〉

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