Graphes param\'etr\'es et outils de lexicalisation

TL;DR

This paper explores how lexicalizing a grammar with a parameterized-graph approach can reduce parsing errors and enhance syntactic parsing, demonstrated through experiments with a simple grammar and an informative French lexicon.

Contribution

It introduces a realistic model for grammar lexicalization using parameterized graphs and demonstrates its effectiveness in syntactic parsing.

Findings

Most lexicon-grammar information can be transferred into the grammar.

Lexicalization improves parsing accuracy.

The approach is effective with a simple formalism and rich lexicon.

Abstract

Shifting to a lexicalized grammar reduces the number of parsing errors and improves application results. However, such an operation affects a syntactic parser in all its aspects. One of our research objectives is to design a realistic model for grammar lexicalization. We carried out experiments for which we used a grammar with a very simple content and formalism, and a very informative syntactic lexicon, the lexicon-grammar of French elaborated by the LADL. Lexicalization was performed by applying the parameterized-graph approach. Our results tend to show that most information in the lexicon-grammar can be transferred into a grammar and exploited successfully for the syntactic parsing of sentences.