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PARAMETER ADJUSTMENT METHOD USED FOR STATISTICAL MACHINE TRANSLATION
PARAMETER ADJUSTMENT METHOD USED FOR STATISTICAL MACHINE TRANSLATION
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机译:用于统计机器翻译的参数调整方法
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摘要
The present invention relates to a parameter adjustment method. The parameter adjustment method used for statistical machine translation comprises: step 1: using a monolingual corpus to construct a language model required for translation; step 2: using a bilingual parallel corpus to construct a translation model; and step 3: using a target function to adjust a parameter. The method can solve problems in prior art that the parameter is easily over-fit or falls into a local optimum during a parameter adjustment process, and the method is easy to implement and can combine a larger number of features. In addition, the target function is convex; therefore, global optimum can be achieved in a training process.
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