Spoken communication across a language barrier is of increasing importance in both civilian and military applications. In this paper, we present a system for task-directed 2-way communication between speakers of English and Iraqi colloquial Arabic. The application domain of the system is force protection. The system supports translingual dialogue in areas that include municipal services surveys, detainee screening, and descriptions of people, houses, vehicles, etc. N-gram speech recognition is used to recognize both English and Arabic speech. The system uses a combination of a pre-recorded questions and statistical machine translation with speech synthesis to translate the recognition output.
Cite as: Stallard, D., Choi, F., Krstovski, K., Natarajan, P., Prasad, R., Saleem, S. (2006) A hybrid phrase-based/statistical speech translation system. Proc. Interspeech 2006, paper 1732-Tue1A1O.4, doi: 10.21437/Interspeech.2006-264
@inproceedings{stallard06_interspeech,
author={David Stallard and Fred Choi and Kriste Krstovski and Prem Natarajan and Rohit Prasad and Shirin Saleem},
title={{A hybrid phrase-based/statistical speech translation system}},
year=2006,
booktitle={Proc. Interspeech 2006},
pages={paper 1732-Tue1A1O.4},
doi={10.21437/Interspeech.2006-264}
}