QUERY LANGUAGE MODELING FOR VOICE SEARCH

QUERY LANGUAGE MODELING FOR VOICE SEARCH

Cached

Download Links

[www.clsp.jhu.edu]

by C. Chelba , J. Schalkwyk , T. Brants , V. Ha , B. Harb , W. Neveitt , C. Parada , P. Xu , Google Inc

Citations:

2 - 2 self

Versions

Version 0

Version History

Metadata Version 0

Datum	Value	Source
TITLE	QUERY LANGUAGE MODELING FOR VOICE SEARCH	SVM HeaderParse 0.2
AUTHOR NAME	C. Chelba	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	J. Schalkwyk	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	T. Brants	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	V. Ha	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	B. Harb	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	W. Neveitt	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	C. Parada	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	P. Xu	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
AUTHOR NAME	Google Inc	SVM HeaderParse 0.2
AUTHOR ADDR	1600 Amphiteatre Pkwy,; Mountain View, CA 94043, USA	SVM HeaderParse 0.2
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	SVM HeaderParse 0.2
CITATIONS	13 found	ParsCit 1.0