Learning phrase-based

Xem 1-3 trên 3 kết quả Learning phrase-based
  • Philippe Langlais DIRO Univ. of Montreal, Canada Francois Yvon and Pierre Zweigenbaum ¸ LIMSI-CNRS Univ. Paris-Sud XI, France {yvon,pz} Abstract Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) systems do not yet propose anything proactive upon tools which assist in managing terminological databases. In this work, we investigate several enhancements to analogical learning and test our implementation on translating medical terms.

    pdf9p bunthai_1 06-05-2013 38 2   Download

  • Several attempts have been made to learn phrase translation probabilities for phrasebased statistical machine translation that go beyond pure counting of phrases in word-aligned training data. Most approaches report problems with overfitting. We describe a novel leavingone-out approach to prevent over-fitting that allows us to train phrase models that show improved translation performance on the WMT08 Europarl German-English task.

    pdf10p hongdo_1 12-04-2013 50 2   Download

  • We present a statistical phrase-based translation model that uses hierarchical phrases— phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a bitext without any syntactic information. Thus it can be seen as a shift to the formal machinery of syntaxbased translation systems without any linguistic commitment. In our experiments using BLEU as a metric, the hierarchical phrasebased model achieves a relative improvement of 7.5% over Pharaoh, a state-of-the-art phrase-based system. ...

    pdf8p bunbo_1 17-04-2013 18 2   Download



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