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1
Joint reranking of parsing and word recognition with automatic segmentation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 1, 1-19
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OLC Linguistik
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2
Expected dependency pair match: predicting translation quality with expected syntactic structure
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 169-179
BLLDB
OLC Linguistik
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3
Parsing Conversational Speech Using Enhanced Segmentation
In: DTIC (2004)
Abstract: The lack of sentence boundaries and presence of disfluencies pose difficulties for parsing conversational speech. This work investigates the effects of automatically detecting these phenomena on a probabilistic parser's performance. We demonstrate that a state-of-the-art segmenter, relative to a pause-based segmenter, gives more than 45% of the possible error reduction in parser performance, and that presentation of interruption points to the parser improves performance over using sentence boundaries alone. Parsing speech can be useful for a number of tasks, including information extraction and question answering from audio transcripts. However, parsing conversational speech presents a different set of challenges than parsing text: sentence boundaries are not well-defined, punctuation is absent, and disfluencies (edits and restarts) impact the structure of language.
Keyword: *INFORMATION RETRIEVAL; *PARSERS; *SPEECH; BOUNDARIES; ERRORS; EXTRACTION; LANGUAGE; Linguistics; PROBABILITY; RECORDS; REDUCTION; SOUND; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA457886
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA457886
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