Data processing: speech signal processing – linguistics – language – Linguistics – Natural language
Reexamination Certificate
2005-07-19
2005-07-19
Lerner, Martin (Department: 2654)
Data processing: speech signal processing, linguistics, language
Linguistics
Natural language
C704S257000
Reexamination Certificate
active
06920420
ABSTRACT:
A method of probabilistic error-tolerant natural language understanding. The process of language understanding is divided into a concept parse and a concept sequence comparison steps. The concept parse uses a parse driven by a concept grammar to construct a concept parse forest set by parsing results of speech recognition. The concept sequence comparison uses an error-tolerant interpreter to compare the hypothetical concept sequences included by the concept parse forest set and the exemplary concept sequences included in the database of the system. A most possible concept sequence is found and converted into a semantic framed that expresses the intention of the user. The whole process is led by a probability oriented scoring function. When error occurs in the speech recognition and a correct concept sequence cannot be formed, the position of the error is determined and the error is recovered according to the scoring function to reduce the negative effect.
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Industrial Technology Research Institute
Lerner Martin
Patents J. C.
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