Language modeling for voice search: A machine translation approach

@article{Li2008LanguageMF,
  title={Language modeling for voice search: A machine translation approach},
  author={Xiao Li and Yun-Cheng Ju and Geoffrey Zweig and Alex Acero},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={4913-4916}
}
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… CONTINUE READING

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