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A MACHINE-ORGANIZED METHOD AND A DEVICE FOR TRANSLATING A WORD-ORGANIZED SOURCE TEXT INTO A WORD-ORGANIZED TARGET TEXT
A MACHINE-ORGANIZED METHOD AND A DEVICE FOR TRANSLATING A WORD-ORGANIZED SOURCE TEXT INTO A WORD-ORGANIZED TARGET TEXT
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机译:一种将单词组织的源文本翻译成单词组织的目标文本的机器组织方法和装置
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摘要
For translating a word-organized source text into a word-organized target text through mapping of source words on target words, both a translation model and a language model are used. In particular, alignment probabilities are ascertained between various source word and target word pairs, whilst preemptively assuming that alignment between such word pairs is monotonous through at least substantial substrings of a particular sentence. This is done by evaluating incrementally statistical translation performance of various target word strings, deciding on an optimum target word string, and outputting the latter.
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