Machine Translation Considering Context Informaiton Using Encoder-Decoder Model
Satoshi Yamane, Tetsuto Takano · 2018
In the task of machine translation, context information is one of the important factor. But considering the context information model dosen't proposed. The paper propose a new model which can integrate context information and make translation. In this paper, we create a new model based Encoder Decoder model. When translating current sentence, the model integrates output from preceding encoder with current encoder. It will enable the model to consider context information.