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ICASSP
2008
IEEE

Language modeling for voice search: A machine translation approach

9 years 4 months ago
Language modeling for voice search: A machine translation approach
This paper presents a novel approach to language modeling for voice search based on the idea and method of statistical machine translation. We propose an n-gram based translation model that can be used for listing-to-query translation. We then leverage the query forms translated from listings to improve language modeling. The translation model is trained in an unsupervised manner using a set of transcribed voice search queries. Experiments show that the translation approach yielded drastic perplexity reductions compared with a baseline language model where no translation is applied.
Xiao Li, Yun-Cheng Ju, Geoffrey Zweig, Alex Acero
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Xiao Li, Yun-Cheng Ju, Geoffrey Zweig, Alex Acero
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