MHATLex: Lexical Resources for Modelling the French Pronunciation

Abstract

The aim of this paper is to introduce the lexical resources and environment, called MHATLex, and intended for speech and text processing. A particular attention is paid to a pronunciation modelling which can be used in automatic speech processing as well as in phonological/phonetic description of languages. In our paper we will introduce a pronunciation model, the MHAT model (Markovian Harmonic Adaptation and Transduction), which copes with free and context-dependent variants. At the same time, we will present the MHATLex resources. They include 500,000 inflected forms and tools allowing the generation of various lexicons through phonological tables. Finally, some illustrations of the use of MHATLex in ASR will be shown. 1