This paper presents an English-Iraqi Arabic speech-to-speech statistical machine translation system using limited resources. In it, we explore the constraints involved, how we endeavored to mitigate such problems as a non-standard orthography and a highly inflected grammar, and discuss leveraging existing plentiful resources for Modern Standard Arabic to assist in this task. These combined techniques yield a reduction in unknown words at translation time by over 40% and a +3.65 increase in BLEU score over a previous state-of-the-art system using the same parallel training corpus of spoken utterances.
Cite as: Riesa, J., Mohit, B., Knight, K., Marcu, D. (2006) Building an English-iraqi Arabic machine translation system for spoken utterances with limited resources. Proc. Interspeech 2006, paper 2012-Tue1A1O.1, doi: 10.21437/Interspeech.2006-261
@inproceedings{riesa06_interspeech,
author={Jason Riesa and Behrang Mohit and Kevin Knight and Daniel Marcu},
title={{Building an English-iraqi Arabic machine translation system for spoken utterances with limited resources}},
year=2006,
booktitle={Proc. Interspeech 2006},
pages={paper 2012-Tue1A1O.1},
doi={10.21437/Interspeech.2006-261}
}