Anna Krasnyanskaya

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A grammatical method of combining two kinds of speech repair cues is presented. One cue, prosodic disjuncture, is detected by a decision tree-based ensemble clas-sifier that uses acoustic cues to identify where normal prosody seems to be interrupted (Lickley, 1996). The other cue, syntactic parallelism, codifies the expectation that repairs continue a(More)
We present a reranking approach to sentence-like unit (SU) boundary detection, one of the EARS metadata extraction tasks. Techniques for generating relatively small n-best lists with high oracle accuracy are presented. For each candidate, features are derived from a range of information sources, including the output of a number of parsers. Our approach(More)
While both spoken and written language processing stand to benefit from parsing, the standard Parseval metrics (Black et al., 1991) and their canonical implementation (Sekine and Collins, 1997) are only useful for text. The Parseval metrics are undefined when the words input to the parser do not match the words in the gold standard parse tree exactly, and(More)
This report describes research conducted by the Parsing and Spoken Structural Event Detection (PaSSED) team as part of the 2005 Johns Hopkins Summer Workshop on Language Engineering. This project investigated the interaction between parsing and the detection of structural metadata in conversational speech, including sentence boundaries, edits (the(More)
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