- Lori S. Levin, Oren Glickman, Yan Qu, C. Rosé, D. Gates, A. Lavie, A. Waibel, Carol Van Ess-Dykema. 1995. Using Context in Machine Translation of Spoken Language. Abstract: We report on techniques for using discourse context to reduce ambiguity and improve translation accuracy in a multi-lingual (Spanish, German, and English) spoken language translation system. The techniques involve statistical models as well as knowledge-based models including discourse plan inference. This work is carried out in the context of the Janus project at Carnegie Mellon University and the University of Karlsruhe.
