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Applying Compression to Natural Language Processing

By W. J. Teahan and John G. Cleary


A number of powerful modelling techniques have been developed in recent years to compress natural language text. The best of these are adaptive models operating on the character and word level which are able to perform almost as well as humans at predicting text. We show how to apply character based methods to five areas where language modelling is critical, providing novel solutions to each of these problems

Year: 1997
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