System and iterative method for lexicon, segmentation and language model joint optimization
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United States of America Patent
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Jun 7, 2005
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Jun 30, 2000
filing date -
Nov 5, 1999
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Abstract
A method for optimizing a language model is presented comprising developing an initial language model from a lexicon and segmentation derived from a received corpus using a maximum match technique, and iteratively refining the initial language model by dynamically updating the lexicon and re-segmenting the corpus according to statistical principles until a threshold of predictive capability is achieved.
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