Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models

Details Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models

1995-09-09

arxiv.org/abs/cmp-lg/9509003v1

Computer Science

Computation and Language

8 pages, uuencoded and compressed postscript

Scientific paper

The maximum entropy method has recently been successfully introduced to a variety of natural language applications. In each of these applications, however, the power of the maximum entropy method is achieved at the cost of a considerable increase in computational requirements. In this paper we present a technique, closely related to the classical cluster expansion from statistical mechanics, for reducing the computational demands necessary to calculate conditional maximum entropy language models.

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