Difference between revisions of "Lau et al HLT 1993"
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| + | == Citation == | ||
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| + | Raymond Lau, Ronald Rosenfeld and Salim Roukos. Adaptive Language Modeling Using the Maximum Entropy Principle. In Proceedings of the ARPA Human Language Technology Workshop, published as Human Language Technology, pages 108–113. Morgan Kaufmann, March 1993. | ||
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| + | == Summary == | ||
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In this [[Category::paper]] the authors focus on the development of [[AddressesProblem::Language Modeling|Language Models]] using [[UsesMethod::Maximum Entropy model|Maximum Entropy]] principles, in order to combine evidence from multiple sources (for example: trigrams and long distance triggers). | In this [[Category::paper]] the authors focus on the development of [[AddressesProblem::Language Modeling|Language Models]] using [[UsesMethod::Maximum Entropy model|Maximum Entropy]] principles, in order to combine evidence from multiple sources (for example: trigrams and long distance triggers). | ||
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[http://newdesign.aclweb.org/anthology-new/H/H93/H93-1021.pdf ACL WEB] | [http://newdesign.aclweb.org/anthology-new/H/H93/H93-1021.pdf ACL WEB] | ||
Revision as of 15:28, 19 September 2011
Citation
Raymond Lau, Ronald Rosenfeld and Salim Roukos. Adaptive Language Modeling Using the Maximum Entropy Principle. In Proceedings of the ARPA Human Language Technology Workshop, published as Human Language Technology, pages 108–113. Morgan Kaufmann, March 1993.
Summary
In this paper the authors focus on the development of Language Models using Maximum Entropy principles, in order to combine evidence from multiple sources (for example: trigrams and long distance triggers).
