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Conference Proceeding

Publication Date



The authors describe an experimental text-to-speech system that uses a syntactic parser and prosody rules to determine prosodic phrasing for synthesized speech. It is shown that many aspects of sentence analysis that are required for other parsing applications, e.g., machine translation and question answering, become unnecessary in parsing for text-to-speech. It is possible to generate natural-sounding prosodic phrasing by relying on information about syntactic category type, partial constituency, and length; information about clausal and verb phrase constituency, predicate-argument relations, and prepositional phrase attachment can be bypassed.



Published Citation

Fitzpatrick, E., & Bachenko, J. (1989, January). Parsing for prosody: what a text-to-speech system needs from syntax. In 1989 The Annual AI Systems in Government Conference (pp. 188-189). IEEE Computer Society.

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