How to handle gender and number agreement in statistical language models?

Lavecchia, Caroline; Smaïli, Kamel; Haton, Jean Paul

doi:10.21437/interspeech.2006-511

Interspeech 2006 2006

DOI: 10.21437/interspeech.2006-511

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How to handle gender and number agreement in statistical language models?

Caroline Lavecchia¹,

Kamel Smaïli²,

Jean Paul Haton³

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2010

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Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition

Huet

Gravier

Sébillot

2010

Computer Speech & Language

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International audienceMany automatic speech recognition (ASR) systems rely on the sole pronunciation dictionaries and language models to take into account information about language. Implicitly, morphology and syntax are to a certain extent embedded in the language models but the richness of such linguistic knowledge is not exploited. This paper studies the use of morpho-syntactic (MS) information in a post-processing stage of an ASR system, by reordering N-best lists. Each sentence hypothesis is first part-of-speech tagged. A morpho-syntactic score is computed over the tag sequence with a long-span language model and combined to the acoustic and word-level language model scores.This new sentence-level score is finally used to rescore N-best lists by reranking or consensus. Experiments on a French broadcast news task show that morpho-syntactic knowledge improves the word error rate and confidence measures. In particular, it was observed that the errors corrected are not only agreement errors and errors on short grammatical words but also other errors on lexical words where the hypothesized lemma was modified

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Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition

Huet

Gravier

Sébillot

2010

Computer Speech & Language

View full text Add to dashboard Cite

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How to handle gender and number agreement in statistical language models?

Cited by 1 publication

References 9 publications

Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition

Morpho-syntactic post-processing of N-best lists for improved French automatic speech recognition

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