Just-In-Time Language Modelling

Just-In-Time Language Modelling (1998)

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by Adam Berger , Robert Miller

Venue:	In ICASSP-98
Citations:	16 - 0 self

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Datum	Value	Source
TITLE	Just-In-Time Language Modelling	user correction - Legacy Corrections
AUTHOR NAME	Adam Berger	SVM HeaderParse 0.1
AUTHOR AFFIL	School of Computer Science; Carnegie Mellon University	SVM HeaderParse 0.2
AUTHOR ADDR	Pittsburgh PA 15213	SVM HeaderParse 0.1
AUTHOR NAME	Robert Miller	SVM HeaderParse 0.1
AUTHOR AFFIL	School of Computer Science; Carnegie Mellon University	SVM HeaderParse 0.2
AUTHOR ADDR	Pittsburgh PA 15213	SVM HeaderParse 0.1
ABSTRACT	Traditional approaches to language modelling have relied on a fixed corpus of text to inform the parameters of a probability distribution over word sequences. Increasing the corpus size often leads to better-performing language models, but no matter how large, the corpus is a static entity, unable to reflect information about events which postdate it. In these pages we introduce an online paradigm which interleaves the estimation and application of a language model. We present a Bayesian approach to online language modelling, in which the marginal probabilities of a static trigram model are dynamically updated to match the topic being dictated to the system. We also describe the architecture of a prototype we have implemented which uses the World Wide Web (WWW) as a source of information, and provide results from some initial proof of concept experiments. 1. BACKGROUND Of pressing concern to language modelling researchers is how to detect and account for a "non-stationary" source; tha...	user correction - Legacy Corrections
YEAR	1998	INFERENCE
VENUE	In ICASSP-98	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	705--708	INFERENCE
VOLUME	2	INFERENCE
CITATIONS	6 found	ParsCit 1.0