Natural language processing raises the problem of ambiguities and multiple solutions which follow frnm them. The knowledge gained when using the morphosyutactic atmlyser CRISSTAL showed how necessary it was to overcome this issue. The architecture with sequential levels, in which each module corresponds to a linguistic level (pretreatments, morphology, syntax, semantics) has shown its limits. A sequential architecture does not allow a real exchange between different modules. This le~als to the non availability of the linguistic information for the reduction of ambiguities, at the moment they are needed. The necessity for cooperation between different modules has lead us to envisage a new architecture which stems from the techniques of distributed artificial intelligence.
Mots-cl6sEnvironnement d'int6gratiou d'outils linguistiques, langue naturelle, franqais 6crit, intelligence artificielle distribu6e, syst~mes multi-agents, syst~mes gouvem6s par des lois, protocole de communication.ACRES DE COLING-92, NANTES, 23-28 AOr.3"r 1992 4 9 0 PROC. OF COLING-92, NANTES. AUC. 23-28, 1992
Most Natural Language Processing systems use a sequential architecture embodying classical linguistic layers. When one works with a general language and not a sublanguage, there are different cases of ambiguities at difterent classical levels; and more particularly when one works on COml)lex language t)henomena analysis (coordination, ellipsis, negation...) it is ditfic.ult to take into account all the different types of these constructions with a general grammar. Indeed, the inconvenience of this approach is the possible risk of a combinatory explosion. So, we have defined the TALISMAN architecture that includes linguistic agents that corrost)ond either to classical levels in linguistics (morI)hology, syntax, semantic) or to coml)lex language phcnolnena analysis.
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