This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure.
Synergy of syntax and morphology in automatic parsing of French language with a minimum of data
Jacques Vergne | Pascale Pages | Inalco PariS
Coling 1986 Volume 1: The 11th International Conference on Computational Linguistics