Local Phrase Reordering Model for Chinese-English Patent Machine Translation
نویسندگان
چکیده
We focused on when and how to reorder the Chinese NPs with two, three translation units for reordering in Chinese-English Machine Translation. By analyzing the features of translation units of the Chinese NPs, we built some formalized rules to recognize the boundaries of translation units using the boundary words to recognize what to reorder. By comparing the orders of Chinese and English NPs, we developed a strategy a local phrase reordering model on how to reorder the translation units. At last, we used a rule-based MT system to test our work, and the experimental results showed that our rule-based method and strategy were very efficient.
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