2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/151025A 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.13 pages, Latex source. To appear in Proc. HLT '94Computation and Languagetext