TAILIEUCHUNG - Báo cáo khoa học: "Parsing Speech Repair without Specialized Grammar Symbols∗"

This paper describes a parsing model for speech with repairs that makes a clear separation between linguistically meaningful symbols in the grammar and operations specific to speech repair in the operation of the parser. This system builds a model of how unfinished constituents in speech repairs are likely to finish, and finishes them probabilistically with placeholder structure. These modified repair constituents and the restarted replacement constituent are then recognized together in the same way that two coordinated phrases of the same type are recognized. . | Parsing Speech Repair without Specialized Grammar Symbols Tim Miller University of Minnesota tmill@ Luan Nguyen University of Minnesota lnguyen@ William Schuler University of Minnesota schuler@ Abstract This paper describes a parsing model for speech with repairs that makes a clear separation between linguistically meaningful symbols in the grammar and operations specific to speech repair in the operation of the parser. This system builds a model of how unfinished constituents in speech repairs are likely to finish and finishes them probabilistically with placeholder structure. These modified repair constituents and the restarted replacement constituent are then recognized together in the same way that two coordinated phrases of the same type are recognized. 1 Introduction Speech repair is a phenomenon in spontaneous spoken language in which a speaker decides to interrupt the flow of speech replace some of the utterance the reparandum and continues on with the alteration in a way that makes the whole sentence as transcribed grammatical only if the reparandum is ignored. As Ferreira et al. 2004 note speech repairs1 are the most disruptive type of disfluency as they seem to require that a listener first incrementally build up syntactic and semantic structure then subsequently remove it and rebuild when the repair is made. This difficulty combines with their frequent occurrence to make speech repair a pressing problem for machine recognition of spontaneous speech. This paper introduces a model for dealing with one part of this problem constructing a syntactic analysis based on a transcript of spontaneous spoken language. The model introduced here differs from other models attempting to solve the This research was supported by NSF CAREER award 0447685. The views expressed are not necessarily endorsed by the sponsors . Ferreira et al. use the term revisions . same problem by completely separating the fluent grammar from the operations of .

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