Adjusting a hidden Markov model tagger for sentence fragments
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United States of America Patent
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Oct 13, 1998
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N/A
app pub date -
Sep 15, 1995
filing date -
Sep 15, 1995
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Abstract
A system for parsing information representative of a sequence of words having parts of speech. The sequence of words forms a sentence or sentence fragment. A hidden Markov model is provided for determining the most likely part of speech of a selected word of the sequence of words. The hidden Markov model has an initial transition matrix and a subsequent transition matrix for storing probabilities of occurrence of the parts of speech. The initial transition matrix of the hidden Markov model is removed to provide a modified hidden Markov model. The modified hidden Markov model is applied to the sequence of words to determine the most likely part of speech of a selected word within a sentence fragment with increased accuracy.
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