Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists

Computer Science – Computation and Language

Scientific paper

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13 pages, Latex source. To appear in Proc. HLT '94

Scientific paper

A simple and general method is described that can combine different knowledge
sources to reorder N-best lists of hypotheses produced by a speech recognizer.
The method is automatically trainable, acquiring information from both positive
and negative examples. Experiments are described in which it was tested on a
1000-utterance sample of unseen ATIS data.

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