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Abstract: Introduction The $64,000 question in computational linguistics these days is: "What should I read to learn about statistical natural language processing?" I have been asked this question over and over, and each time I have given basically the same reply: there is no text that addresses this topic directly, and the best one can do is find a good probability-theory textbook and a good information-theory textbook, and supplement those texts with an assortment of conference papers and journal... (Update)
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BibTeX entry: (Update)
Charniak, Eugene. Statistical Language Learning, Cambridge, Massachusetts: MIT Press, 1993. http://citeseer.ist.psu.edu/magerman93review.html More
@misc{ eugene93statistical,
author = "C. Eugene",
title = "Statistical Language Learning",
text = "Charniak, Eugene. Statistical Language Learning, Cambridge, Massachusetts:
MIT Press, 1993.",
year = "1993",
url = "citeseer.ist.psu.edu/magerman93review.html" }
Citations (may not include all citations):328 A maximum likelihood approach to continuous speech recogniti.. (context) - Lalit, Jelinek et al. - 1983 ACM
110 Probability and Statistics (context) - DeGroot - 1986 ACM
92 A Corpus-Based Approach to Language Learning - Eric - 1993 ACM
88 Class-based n-gram models of natural language - Peter, Della et al. - 1992 DBLP
63 Information Theory (context) - Robert - 1965 ACM
19 Statistical parsing of messages (context) - Mahesh, Ralph - 1990 ACM
2 and Doksum (context) - Peter - 1977
1 A statistical approach to machine translation (context) - PA, Peter et al. - 1990 ACM DBLP
1 and Hindle (context) - Kenneth, Gale et al. - 1989
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