Query Language Modeling for Voice Search: A Google Publication

Google published a "Query Language Modeling for Voice Search" paper embedded below, that describes the approach the search giant took, and the empirical findings along the way to enable speaking to the Google Search engine on smart-phones."The paper presents an empirical exploration of google.com query stream language modeling. We describe the normalization of the typed […]

Google published a "Query Language Modeling for Voice Search" paper embedded below, that describes the approach the search giant took, and the empirical findings along the way to enable speaking to the Google Search engine on smart-phones.

"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."

[tags]query language[/tags]

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