Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists
<|reference_start|>Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists: 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.<|reference_end|>
@article{rayner1994combining,
    title={Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists},
    author={Manny Rayner (SRI International), David Carter (SRI International),
  Vassilios Digalakis (SRI International) and Patti Price (SRI International)},
    journal={arXiv preprint arXiv:cmp-lg/9407010},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9407010},
    primaryClass={cmp-lg cs.CL}
}