\'Evaluation de lexiques syntaxiques par leur int\'egartion dans l'analyseur syntaxiques FRMG

TL;DR

This study assesses the impact of different French lexica on the FRMG parser's performance by converting them into a common format and evaluating on the EASy corpus.

Contribution

It introduces a systematic evaluation of multiple French lexica within the FRMG parser framework, including a new merged lexicon version.

Findings

Different lexica influence parser accuracy

Merged lexicon improves parsing performance

Evaluation on EASy corpus demonstrates results

Abstract

In this paper, we evaluate various French lexica with the parser FRMG: the Lefff, LGLex, the lexicon built from the tables of the French Lexicon-Grammar, the lexicon DICOVALENCE and a new version of the verbal entries of the Lefff, obtained by merging with DICOVALENCE and partial manual validation. For this, all these lexica have been converted to the format of the Lefff, Alexina format. The evaluation was made on the part of the EASy corpus used in the first evaluation campaign Passage.