Paper: MT And Topic-Based Techniques To Enhance Speech Recognition Systems For Professional Translators

ACL ID C00-2158
Title MT And Topic-Based Techniques To Enhance Speech Recognition Systems For Professional Translators
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

Our principle objective was to reduce the error rate of speech recognition systems used by professional translators. Our work concentrated on Spanish-to-English trans- lation. In a baseline study we estimated the error rate o1' an off-the-shelf recognizer to he 9.98%. in this paper we describe two independent methods ot' improving speech recognizers: a machine translation (MT) method and a topic-based one. An evaluation of the MT method suggests that the vocabulary used for recognition cannot be completely restricted to the set of translations produced by the MT system and a more sophisticated constraint system must be used. An ewduation of the topic-based method showed significanl error rate reduction, to 5.07%.