title: Natural Language Modeling for Phoneme-to-Text Transcription.
abstract: This paper relates different kinds of language modeling methods that can be applied to the linguistic decoding part of a speech recognition system with a very large vocabulary. These models are studied experimentally on a pseudophonetic input arising from French stenotypy. We propose a model which combines the advantages of a statistical modeling with information theoretic tools, and those of a grammatical approach.
authors.affiliation: IBM France Scientific Center, 36 Avenue Raymond Poincaré, 75116 Paris, France.
authors.forename: A M
authors.initials: AM
authors.lastname: Derouault
authors.forename: B
authors.initials: B
authors.lastname: Merialdo