Growing TreeLex

Authors:
Anna Kupść;Anne Abeillé
Affiliations:
Université de Bordeaux, ERSSàB, SIGNES and IPIPAN and Université Michel de Montaigne, UFRL, Pessac Cedex, France;Université Paris 7, LLF, CNRS, UMR, Paris Cedex 05, France
Venue:
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Year:
2008

Citing 3
Cited 1

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Classifying French verbs using French and English lexical resources

ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1

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Abstract

TreeLex is a subcategorization lexicon of French, automatically extracted from a syntactically annotated corpus. The lexicon comprises 2006 verbs (25076 occurrences). The goal of the project is to obtain a list of subcategorization frames of contemporary French verbs and to estimate the number of different verb frames available in French in general. A few more frames are discovered when the corpus size changes, but the average number of frames per verb remains relatively stable (about 1.91-2.09 frames per verb).