Modeling Coherence for Discourse Neural Machine Translation

Understand

Discourse coherence plays an important role in the translation of one text.

• However, the previous reported models most focus on improving performance over individual sentence while ignoring cross-sentence links and dependencies, which affects the coherence of the text.
• In this paper, we propose to use discourse context and reward to refine the translation quality from the discourse perspective.
• In particular, we generate the translation of individual sentences at first.