Automatic Information Transfer between English and Chinese
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The translation choice and transfer modules in an English Chinese machine translation system are introduced. The translation choice is realized on basis of a grammar tree and takes the context as a word bag, with the lexicon and POS tag information as context features. The Bayes minimal error probability is taken as the evaluation function of the candidate translation. The rule-based transfer and generation module takes the parsing tree as the input and operates on the information of POS tag, semantics or even the lexicon.
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