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

نویسندگان

  • Anthony Sigogne
  • Matthieu Constant
  • Éric Laporte
چکیده

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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تاریخ انتشار 2011