Two decades of statistical language modeling: Where do we go from here?

被引：281

作者：

Rosenfeld, R ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA

来源：

PROCEEDINGS OF THE IEEE | 2000年 / 88卷 / 08期

关键词：

natural language processing; natural language technologies; statistical language modeling;

D O I：

10.1109/5.880083

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1270 / 1278

页数：9

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