Description


RAPSODIS


ARC INRIA


2008-2009



Reconnaissance Automatique de la Parole Suivie et Orientée par Des Informations Syntaxico-sémantiques

The ARC Rapsodis started in 2008 and lasted for two years. Its main objective has been the study of approaches to make use of syntactic and semantic information within speech recognition systems. Two main tracks were investigated: first, lexical semantics based on the distributional hypothesis have shown to provide relevant information for high-level semantic information; second, deep parsing has proven to be an important building block of many subsequent NLP processes, but it also happened to be very dependent on the domain. In particular, the lack of speech treebanks for French is a serious limitation for its effective use in this context. We thus continued this work from 2009 by addressing this specific task of French speech parsing.

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Christophe Cerisara