BILINGUAL PHRASE LEARNING APPARATUS, STATISTICAL MACHINE TRANSLATION APPARATUS, BILINGUAL PHRASE LEARNING METHOD, AND STORAGE MEDIUM
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United States of America Patent
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May 12, 2016
app pub date -
May 23, 2014
filing date -
Jun 17, 2013
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Abstract
In order to solve a conventional problem that a translation model has to be updated each time a translation corpus is added, in a case of calculating a score of each phrase pair acquired from a j-th translation corpus (2≦j≦N) (added translation corpus), a score of each phrase pair corresponding to the j-th translation corpus is calculated using the one or more pieces of phrase appearance frequency information corresponding to a (j−1)-th translation corpus, the calculated score is used to generate a translation model, and the newly generated translation model is used in a state of being integrated to an original translation model. Accordingly, a translation model can be easily enhanced in a stepwise manner.
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