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Building a morphological and syntactic lexicon by merging various linguistic resources

Miguel A. Molinero 1 Benoît Sagot 2 Lionel Nicolas 3 
2 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
Inria Paris-Rocquencourt, UPD7 - Université Paris Diderot - Paris 7
3 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RL
Laboratoire I3S - MDSC - Modèles Discrets pour les Systèmes Complexes
Abstract : This paper shows how large-coverage morphological and syntactic NLP lexicons can be developed by interpreting, converting to a common format and merging existing lexical resources. Applied on Spanish, this allowed us to build a morphological and syntactic lexicon, the Leffe. It relies on the Alexina framework, originally developed together 200with the French lexicon Lefff. We describe how the input resources --two morphological and two syntactic lexicons -- were converted into Alexina lexicons and merged. A preliminary evaluation shows that merging different sources of lexical information is indeed a good approach to improve the development speed, the coverage and the precision of linguistic resources.
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Conference papers
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Submitted on : Thursday, February 21, 2013 - 2:40:41 PM
Last modification on : Thursday, August 4, 2022 - 4:53:44 PM


  • HAL Id : hal-00793048, version 1


Miguel A. Molinero, Benoît Sagot, Lionel Nicolas. Building a morphological and syntactic lexicon by merging various linguistic resources. NODALIDA 2009 - the 17th Nordic Conference of Computational Linguistics, May 2009, Odense, Denmark. ⟨hal-00793048⟩



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