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French parsing enhanced with a word clustering method based on a syntactic lexicon

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Computer Science > Computation and Language

arXiv:2606.00634 (cs)
[Submitted on 30 May 2026]

Title:French parsing enhanced with a word clustering method based on a syntactic lexicon

View a PDF of the paper titled French parsing enhanced with a word clustering method based on a syntactic lexicon, by Anthony Sigogne and 2 other authors
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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).
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
ACM classes: I.7.0; I.2.6
Cite as: arXiv:2606.00634 [cs.CL]
  (or arXiv:2606.00634v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.00634
arXiv-issued DOI via DataCite (pending registration)
Journal reference: Second Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL), 2011, Dublin, Ireland, pp.22-27

Submission history

From: Eric Laporte [view email]
[v1] Sat, 30 May 2026 09:18:00 UTC (155 KB)
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