Assessing Phrase-Based Translation Models with Oracle Decoding

@inproceedings{Wisniewski2010AssessingPT,
  title={Assessing Phrase-Based Translation Models with Oracle Decoding},
  author={Guillaume Wisniewski and Alexandre Allauzen and François Yvon},
  booktitle={EMNLP},
  year={2010}
}
Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. As a result, it is difficult to analyze output translations and there is a real need for tools that could help developers to better understand the various causes of errors. In this study, we make a step in that direction and present an attempt to evaluate the quality of the phrase-based translation model. In order to… CONTINUE READING
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