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.
BILINGUAL PHRASE LEARNING APPARATUS, STATISTICAL MACHINE TRANSLATION APPARATUS, BILINGUAL PHRASE LEARNING METHOD, AND STORAGE MEDIUM