Semantic co-occurrence filtering for speech recognition and sign

Details Semantic co-occurrence filtering for speech recognition and sign Semantic co-occurrence filtering for speech recognition and sign

1994-09-30

1996-03-19

Knepper, David D.

Boots, shoes, and leggings

395 284, 395 286, 36441907, G10L 900

Patent

active

055009204

ABSTRACT:
A system and method for automatically transcribing an input question from a form convenient for user input into a form suitable for use by a computer. The question is a sequence of words represented in a form convenient for the user, such as a spoken utterance or a handwritten phrase. The question is transduced into a signal that is converted into a sequence of symbols. A set of hypotheses is generated from the sequence of symbols. The hypotheses are sequences of words represented in a form suitable for use by the computer, such as text. One or more information retrieval queries are constructed and executed to retrieve documents from a corpus (database). Retrieved documents are analyzed to produce an evaluation of the hypotheses of the set and to select one or more preferred hypotheses from the set. The preferred hypotheses are output to a display, speech synthesizer, or applications program. Additionally, retrieved documents relevant to the preferred hypotheses can be selected and output.

REFERENCES:
patent: 2921133 (1960-01-01), Kalfaian
patent: 3158685 (1964-11-01), Gerstman et al.
patent: 3996569 (1976-12-01), Saunders
patent: 4270182 (1981-05-01), Asija
patent: 4674066 (1987-06-01), Kucera
patent: 4823306 (1989-04-01), Barbic et al.
patent: 4931935 (1990-06-01), Ohira et al.
patent: 4994967 (1991-02-01), Asakawa
patent: 5062074 (1991-10-01), Kleinberger
patent: 5063508 (1991-11-01), Yamada et al.
patent: 5278918 (1994-01-01), Bernzott et al.
patent: 5278980 (1994-01-01), Pedersen et al.
patent: 5390281 (1995-02-01), Luciw et al.
patent: 5406480 (1995-04-01), Kanno
Webster's II New Riverside University Dictionary, 1988, p. 1226.
"Text Search and Retrieval Reference Manual for the Automated Patent System," U.S. Patent & Trademark Office, Oct. 21, 1992.
Communication: European Search Report for D/93184 dated 11 Jan. 1995.
Cutting et al., "An Object-Oriented Architecture for Text Retrieval," in Intelligent Text and Image Handling, Proceedings of a Conference on Intelligent Text and Image Handling `RIAO 91, ` Barcelona, Spain Apr. 2-5, 1991 (A. Lichnerowicz, ed.), pp. 285-298.
Glavitsch et al., "A System for Retrieving Speech Documents," 15th Ann. Int'l. SIGIR '92/Denmark-Jun. 1992, pp. 168-176.
Harris, Mary Dee Harris "Introduction to Natural Language Processing," pp. 102-114 (Reston Publishing Company, Inc., Reston, VA), 1985.
Hopcroft et al., "Introduction to Automata Theory, Languages, and Computation," pp. 13-76 (Copyright .COPYRGT. 1979 by Addison-Wesley Publishing Company, Reading, MA).
Lamel et al., "Speech Database Development: Design and Analysis of the Acoustic-Phonetic Corpus," pp. 100-109 (Proceedings of the Speech Recognition Workshop held in Palo Alto, CA, Feb. 19-20, 1986).
Lucchesi et al., "Applications of Finite Automata Representing Large Vocabularies," Software-Practice and Experience, 23(1):15-30, Jan. 1993 (see especially pp. 26-27).
Niimi et al., "An Information Retrieval System With a Speech Interface," 1992 Int'l. Conf. on Spoken Language Processing (eds. John J. Ohala, Terrance Nearey, Bruce Denning, Megan Hodge, Grace Wiebe), held in Banff, Alberta, Canada, Oct. 12-16, 1992 (pp. 1407-1410).
Rabiner, Lawrence R., "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," Proceedings of the IEEE, 77(2):257-285, Feb. 1989.
Salton et al., "Extended Boolean Information Retrieval," Communications of the ACM, 26(12):1022-1036 (Dec. 1983).

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