• Corpus ID: 5931915

Bilingual Multi-Word Term Tokenization for Chinese – Japanese Patent Translation

@inproceedings{Yang2017BilingualMT,
  title={Bilingual Multi-Word Term Tokenization for Chinese – Japanese Patent Translation},
  author={Wei Yang and Y. Lepage},
  year={2017}
}
We propose to re-tokenize data with aligned bilingual multi-word terms to improve statistical machine translation (SMT) in technical domains. For that, we independently extract multi-word terms from the monolingual parts of the training data. Promising bilingual multi-word terms are then identified using the sampling-based alignment method by setting some threshold on translation probabilities. We estimate that the bilingual multi-word terms extracted are correct in more than 70 % of the cases… 
anlp.jp

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