Cluster Expansions and Iterative Scalingfor Maximum Entropy Language

نویسنده

  • JOHN D. LAFFERTY
چکیده

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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تاریخ انتشار 1995