Natural language processing of disfluent sentences

Details Natural language processing of disfluent sentences Natural language processing of disfluent sentences

2011-04-19

2011-04-19

Smits, Talivaldis Ivars (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S001000

Reexamination Certificate

active

07930168

ABSTRACT:
An advanced model that includes new processes is provided for use as a component of an effective disfluency identifier. The disfluency identifier tags edited words in transcribed speech. A speech recognition unit in combination with a part-of-speech tagger, a disfluency identifier, and a parser form a natural language system that helps machines properly interpret spoken utterances.

REFERENCES:
patent: 5890103 (1999-03-01), Carus
patent: 7251781 (2007-07-01), Batchilo et al.
patent: 7286987 (2007-10-01), Roy
patent: 2004/0243409 (2004-12-01), Nakagawa
Church, K.W., “A stochastic parts program and noun phrase parser for unrestricted text,” Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on , vol., No., pp. 695-698 vol. 2, May 23-26, 1989.
A. Ratnaparkhi. 1996. A maximum entropy model for part-ofspeech tagging. In Proceedings of EMNLP-1996.
Cole, Jennifer / Hasegawa-Johnson, Mark / Shih, Chilin / Kim, Heejin / Lee, Eun-Kyung / Lu, Hsin-yi / Mo, Yoonsook / Yoon, Tae-Jin (2005): “Prosodic parallelism as a cue to repetition and error correction disfluency”, In DiSS-2005, 53-58.
Johnson, M. and Charniak, E. 2004. A TAG-based noisy channel model of speech repairs. In Proceedings of the 42nd Annual Meeting on Association For Computational Linguistics (Barcelona, Spain, Jul. 21-26, 2004). Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 33. DOI= http://dx.doi.org/10.3115/1218955.1218960.
Mark Johnson , Eugene Charniak , Matthew Lease. 2004. An improved model for recognizing disfluencies in conversational speech. In Proceedings of Rich Transcription Workshop.
Johnson, Mark. Charniak, Eugene. Lease, Matthew. An improved model for recognizing disfluencies in conversational speech, 2004. Brown Laboratory for Linguistic Information Processing, Brown University.
Kim, Joungbum, “Automatic Detection of Sentence Boundaries, Disfluencies, and Conversational Fillers in Spontaneous Speech”, 2004, Graduate School-Master Theses, University of Washington, pp. 1-85.
Spilker, Jorg et al., “Detection and Correction of Speech Repairs in Word Lattices”, PROC Eurospeech, vol. 5, Sep. 1997, pp. 1-4.
Charniak, Eugene et al., “Edit Detection and Parsing for Transcribed Speech”, PROC. NAACL- Language Technologies, Jul. 2, 2001, pp. 1-9.
Zhang, Qi et al., “Exploring Features for Identifying Edited Regions in Disfluent Sentences”, Proc. International Workshop on Parsing Technologies (IWPT), Oct. 9, 2005, pp. 179-185.

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