Abstract

Speech-to-speech translation systems have made a great deal of progress in recent years. But users of such systems still face the problem of not knowing whether the system has translated their utterance correctly. Various confirmation strategies can be used to address this problem. Some of these generate a confirmation utterance for the user to approve, such as reading back the ASR result, or performing “back-translation” to translate the system's translation output back into the source language. Other strategies use automated methods such as confidence measures to eliminate likely mistranslations. We propose a methodology for quantitatively evaluating the effectiveness of these different strategies, and present results of experiments using this methodology.

Date

March 14, 2010

Authors

David Stallard, Rohit Prasad, Shankar Ananthakrishnan, Fred Choi, Shirin Saleem, Prem Natarajan

Conference

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

Pages

5218-5221

Publisher

IEEE