cs.CL · 2606.00634 Copy arXiv ID · May 30, 2026 Save French parsing enhanced with a word clustering method based on a syntactic lexicon Authors: Anthony Sigogne , Matthieu Constant , Eric Laporte
Organizations: Universit´e Paris-Est, LIGM
Abstract This article evaluates the integration of data extracted from a French syntactic lexicon, the Lexicon-Grammar (Gross, 1994), into a probabilistic parser. We show that by applying clustering methods on verbs of the French Treebank (Abeillé et al., 2003), we obtain accurate performances on French with a parser based on a Probabilistic Context-Free Grammar (Petrov et al., 2006).
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May 14, 2026 · cs.CL J/K move · Enter open · S save
Eric Laporte, Elsa Tolone, Mathieu Constant
Chapter written by Éric Laporte, Elsa Tolone and Matthieu Constant.
We describe the first experiment of conversion of Lexicon-Grammar tables for French verbs into the Lexical Markup Framework (LMF) format. The Lexicon-Grammar of the French language is currently one of the major sources of lexical and syntactic information for French. Its conversion into an interoperable representation format according to the LMF standard makes it usable in different contexts, thus contributing to the standardization and interoperability of natural language processing dictionaries. We briefly introduce the Lexicon-Grammar and the derived dictionaries; we analyse the main difficulties faced during the conversion; and we describe the resulting resource.