Abstract: A translation device includes a storage unit configured to store a plurality of pieces of learning data, a normalized sentence learning unit configured to perform learning on the plurality of pieces of learning data by combining original text for learning and a corresponding normalized sentence for learning, a translated sentence learning unit configured to perform learning on the plurality of pieces of learning data by combining the original text for learning and a corresponding translated sentence for learning, and a model generation unit configured to generate one normalization/translation model on the basis of a result of learning by the normalized sentence learning unit and the translated sentence learning unit, in which, on at least a part of the learning data, the translated sentence learning unit performs learning after the normalized sentence learning unit performs learning.

Abstract: A generation device is a device that generates a translated sentence in a second language from an input sentence in a first language to be translated. The generation device includes: an acquisition unit that acquires the input sentence; a normalization unit that converts the input sentence into a normalized sentence that is a grammatically correct sentence in the first language; and a first translation unit that generates the translated sentence by translating the normalized sentence into the second language using first parallel translation data that is parallel translation data between the first language and the second language. The normalization unit generates the normalized sentence by using second parallel translation data that is parallel translation data between a third language and the first language. A data amount of the second parallel translation data is larger than a data amount of the first parallel translation data.

Abstract: A translation device includes a storage unit configured to store a plurality of pieces of learning data, a normalized sentence learning unit configured to perform learning on the plurality of pieces of learning data by combining original text for learning and a corresponding normalized sentence for learning, a translated sentence learning unit configured to perform learning on the plurality of pieces of learning data by combining the original text for learning and a corresponding translated sentence for learning, and a model generation unit configured to generate one normalization/translation model on the basis of a result of learning by the normalized sentence learning unit and the translated sentence learning unit, in which, on at least a part of the learning data, the translated sentence learning unit performs learning after the normalized sentence learning unit performs learning.

Abstract: A generation device is a device that generates a translated sentence in a second language from an input sentence in a first language to be translated. The generation device includes: an acquisition unit that acquires the input sentence; a normalization unit that converts the input sentence into a normalized sentence that is a grammatically correct sentence in the first language; and a first translation unit that generates the translated sentence by translating the normalized sentence into the second language using first parallel translation data that is parallel translation data between the first language and the second language. The normalization unit generates the normalized sentence by using second parallel translation data that is parallel translation data between a third language and the first language. A data amount of the second parallel translation data is larger than a data amount of the first parallel translation data.