Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2007-03-06
2007-03-06
Opsasnick, Michael N. (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
Reexamination Certificate
active
10122713
ABSTRACT:
A system and method for coding text data wherein a first group of text data is coded using a Viterbi algorithm using a Hidden Markov model. The Hidden Markov Model computes a probable coding responsive to the first group of text data. A second group of text data is coded using the Viterbi algorithm using a corrected Hidden Markov Model. The Hidden Markov Model is based upon the coding of the first group of text data. Coding the first group of text data includes assigning word concepts to groups of at least one word in the first group of text data and assigning propositions to groups of the assigned word concepts.
REFERENCES:
patent: 5642522 (1997-06-01), Zaenen et al.
patent: 5897616 (1999-04-01), Kanevsky et al.
patent: 5930746 (1999-07-01), Ting
patent: 6363348 (2002-03-01), Besling et al.
patent: 6393389 (2002-05-01), Chanod et al.
patent: 6418403 (2002-07-01), Fuji
Jian et al, “Grammatical Category Disambiguation Based on Second-Order Hidden Markov Model”, Systems, Man, and Cybernetics, 2001, pp. 887-891, vol. 2.
J. Earwood, “Autocoder: An Intelligent Assistant for Coding Protocol Data,” Senior Honors Thesis in Psychology, School of Human Development, University of Texas at Dallas, Richardson, TX, 2000.
D. Freitag and A. McCallum, “Information Extraction with HMMs and Shrinkage,”AAAI-99, Workshop on Machine Learning for Information Extraction, 1999.
T. R. Leek, “Information Extraction Using Hidden Markov Models,” Masters Thesis, Electrical Engineering and Computer Science Department, U.C. San Diego, 1997.
I. Muslea, “Extraction Patterns for Information Extraction Tasks: A Survey,”AAAI-99. Workshop on Machine Learning for Information Extraction, 1999.
K. Seymore, A. McCallum and R. Rosenfeld, “Learning Hidden Markov Model Structure for Information Extraction,”AAAI-99, Workshop on Machine Learning for Information Extraction, 1999.
A. Stolcke, E. Shriberg, et al. “Dialog Act Modeling for Conversational Speech,”Applying Machine Learning to Discourse Processing, 1998 AAAI Spring Symposium, No. SS-98-01, 98-105, Menlo Park, CA,AAAI Press, 1998.
J. P. Yamron, I. Carp, L. Gillick, S. Lowe and P. van Mulbregt. “A Hidden Markov Model Approach to Test Segmentation and Event Tracking,”Proceedings ICASSP-98, Seattle, May 1998.
Allen, J.,natural Language Understanding, The Benjamin/Cummings Publishing Company, Inc., Redwood City, CA, 1995.
P. van Mulbregt, I Carp, L. Gillick, S. Lowe and J. P. Yamron, “Text Segmentation and Topic Tracking on Broadcast News Via a Hidden Markov Model Approach,”Proceedings ICSLP-98, Sydney, Dec. 1998.
D. D. Palmer, J. D. Burger and Mari Ostendorf, “Information Extraction from Broadcast News Speech Data” (The MITRE Corporation, Boston University).
Durbin Michael Arthur
Earwood Jason Warner
Golden Richard M.
Jenkens & Gilchrist P.C.
Opsasnick Michael N.
University of Texas System Board of Regents
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