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1
The Lefff 2 syntactic lexicon for French: architecture, acquisition, use
In: LREC ; LREC 06 ; https://hal.archives-ouvertes.fr/hal-00413071 ; LREC 06, 2006, Gênes, Italy. pp.1-4 (2006)
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2
Vers un méta-lexique pour le français: architecture, acquisition, utilisation
In: Journée ATALA sur l'interface lexique-grammaire ; https://hal.archives-ouvertes.fr/hal-00413192 ; Journée ATALA sur l'interface lexique-grammaire, 2005, Paris, France (2005)
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3
Un analyseur LFG efficace pour le français: SxLfg
In: TALN 2005 ; Ttraitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-00413077 ; Ttraitement Automatique des Langues Naturelles, 2005, Dourdan, France. pp.403-408 (2005)
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4
Chaînes de traitement syntaxique
In: Traitement Automatique du Langage Naturel ; TALN 05 ; https://hal.archives-ouvertes.fr/hal-00413183 ; TALN 05, 2005, Dourdan, France. pp.103-112 (2005)
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5
Simple comme EASy
In: Workshop EASy - TALN 05 ; TALN 05 ; https://hal.archives-ouvertes.fr/hal-00413186 ; TALN 05, 2005, Dourdan, France. pp.57-60 (2005)
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6
Morphology based automatic acquisition of large-coverage lexica
In: LREC 04 ; https://hal.archives-ouvertes.fr/hal-00413189 ; LREC 04, 2004, Lisbonne, Portugal. pp.1841-1844 (2004)
Abstract: International audience ; In this article, we introduce a new technique for constructing wide-coverage morphological lexica from large corpora and morphological knowledge, with an application to French. Basically, it relies on the idea that the existence of a hypothetical lemma can be guessed if several different words found in the corpus are best interpreted as morphological variants of this lemma. We first validated our technique by extracting verbs and adjectives on a general French corpus of 25 million words. Compared with other lexical resources available for French, our results are very satisfying, since we cover many words, often derived words, that are not always present in other lexica. Application of our algorithm to the acquisition of domain-specific adjectives on a botanic corpus gave also very good results, thus demonstrating its usability to extract domain-specific lexica. Moreover, it is generalizable to any language with a substantial morphology.
Keyword: [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
URL: https://hal.archives-ouvertes.fr/hal-00413189/file/LREC04.pdf
https://hal.archives-ouvertes.fr/hal-00413189
https://hal.archives-ouvertes.fr/hal-00413189/document
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