QUERY LANGUAGE MODELING FOR VOICE SEARCH
| Citations: | 2 - 2 self |
BibTeX
@MISC{Chelba_querylanguage,
author = {C. Chelba and J. Schalkwyk and T. Brants and V. Ha and B. Harb and W. Neveitt and C. Parada and P. Xu and Google Inc},
title = {QUERY LANGUAGE MODELING FOR VOICE SEARCH},
year = {}
}
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Abstract
The paper presents an empirical exploration of google.com query stream language modeling. We describe the normalization of the typed query stream resulting in out-of-vocabulary (OoV) rates below 1 % for a one million word vocabulary. We present a comprehensive set of experiments that guided the design decisions for a voice search service. In the process we re-discovered a less known interaction between Kneser-Ney smoothing and entropy pruning, and found empirical evidence that hints at non-stationarity of the query stream, as well as strong dependence on various English locales—USA, Britain and Australia. Index Terms — language modeling, voice search, query stream
