A Maximum Entropy Approach to Natural Language Processing
by A. L. Berger, S. A. Della Pietra, V. J. Della Pietra
Publisher: Association for Computational Linguistics 1996
Number of pages: 36
Description:
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently, using as examples several problems in natural language processing.
Download or read it online for free here:
Download link
(1.8MB, PDF)
Similar books
Formal Language Theory for Natural Language Processingby Shuly Wintner - ESSLLI
This text is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive examples.
(11887 views)
Speech and Language Processingby Dan Jurafsky, James H. Martin - Stanford University
This text takes an empirical approach to the subject, based on applying statistical and machine-learning algorithms to large corporations. The authors describe a unified vision of speech and language processing. Emphasis is on practical applications.
(8089 views)
Prolog and Natural-Language Analysisby F. C. N. Pereira, S. M. Shieber - Center for the Study of Language
A concise introduction to logic programming and the logic-programming language Prolog both as vehicles for understanding elementary computational linguistics and as tools for implementing the basic components of natural-language-processing systems.
(22419 views)
Probabilistic Models in the Study of Languageby Roger Levy - University of California, San Diego
A book on the topic of using probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling. The intended audience is graduate students in linguistics, psychology and computer science.
(7986 views)