A Pilot Study Towards End-to-End MT Training

نویسندگان

  • Feifei Zhai
  • Liang Huang
چکیده

Typical MT training involves several stages, including word alignment, rule extraction, translation model estimation, and parameter tuning. In this paper, different from the traditional pipeline, we investigate the possibility of end-to-end MT training, and propose a framework which combines rule induction and parameter tuning in one single module. Preliminary experiments show that our learned model achieves comparable translation quality to the traditional MT training pipeline.

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تاریخ انتشار 2015