Adjusting a hidden Markov model tagger for sentence fragments

Details Adjusting a hidden Markov model tagger for sentence fragments Adjusting a hidden Markov model tagger for sentence fragments

1995-09-15

1998-10-13

Dorvil, Richemond

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704254, 704240, G10L 906

Patent

active

058227318

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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