NYU language modeling experiment for 1996 CSR evaluation

NYU language modeling experiment for 1996 CSR evaluation (1997)

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by Satoshi Sekine , Andrew Borthwick , Ralph Grishman

Venue:	In Proc. of DARPA Speech Recognition Workshop
Citations:	4 - 1 self

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Datum	Value	Source
TITLE	NYU language modeling experiment for 1996 CSR evaluation	INFERENCE
AUTHOR NAME	Satoshi Sekine	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Department; New York University	SVM HeaderParse 0.2
AUTHOR ADDR	715 Broadway, 7th floor; New York, NY 10003, USA	SVM HeaderParse 0.2
AUTHOR NAME	Andrew Borthwick	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Department; New York University	SVM HeaderParse 0.2
AUTHOR ADDR	715 Broadway, 7th floor; New York, NY 10003, USA	SVM HeaderParse 0.2
AUTHOR NAME	Ralph Grishman	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Department; New York University	SVM HeaderParse 0.2
AUTHOR ADDR	715 Broadway, 7th floor; New York, NY 10003, USA	SVM HeaderParse 0.2
ABSTRACT	This paper describes NYU’s effort toward improving recognition accuracy for the 1996 ARPA Large Vocabulary Continuous Speech Recognition evaluation. We are trying to develop different kinds of language models including longer-range models and a linguistically motivated model. For the system described here, we used as a starting point the scores produced by SRI’s acoustic and language models. These are linearly combined with the scores produced by the NYU language models. This paper also describes some experiments we tried which were not used in the official experiment, including experiments with perplexity minimization, Maximum Entropy modeling and parsing.	SVM HeaderParse 0.2
YEAR	1997	INFERENCE
VENUE	In Proc. of DARPA Speech Recognition Workshop	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	16 found	ParsCit 1.0