@inproceedings{li2008language,
author = {Li, Xiao and Ju, Y. C. and Zweig, Geoffrey and Acero, Alex},
title = {Language Modeling For Voice Search: A Machine Translation Approach},
booktitle = {ICASSP},
year = {2008},
month = {March},
abstract = {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.},
url = {http://approjects.co.za/?big=en-us/research/publication/language-modeling-for-voice-search-a-machine-translation-approach/},
edition = {ICASSP},
}