Two Decades of Statistical Language Modeling: Where Do We Go From Here?

Abstract

Statistical Language Models estimate the distribution of various natural language phenomena for the purpose of speech recognition and other language technologies. Since the first significant model was proposed in 1980, many attempts have been made to improve the state of the art. We review them here, point to a few promising directions, and argue for a Bayesian approach to integration of linguistic theories with data.

Extracted Key Phrases

050'01'03'05'07'09'11'13'15'17
Citations per Year

935 Citations

Semantic Scholar estimates that this publication has 935 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Rosenfeld2000TwoDO, title={Two Decades of Statistical Language Modeling: Where Do We Go From Here?}, author={Ronald Rosenfeld}, year={2000} }