28 citations · 52 across the 14 of their papers we have counts for
4 papers · 1 filter
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Yang Feng, Wanying Xie, Shuhao Gu +4
Neural machine translation models usually adopt the teacher forcing strategy for training which requires the predicted sequence matches ground truth word by word and forces the pro…
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
Zhengxin Yang, Jinchao Zhang, Fandong Meng +3
Context modeling is essential to generate coherent and consistent translation for Document-level Neural Machine Translations. The widely used method for document-level translation…
Improving Multi-Head Attention with Capsule Networks
Shuhao Gu, Yang Feng
Multi-head attention advances neural machine translation by working out multiple versions of attention in different subspaces, but the neglect of semantic overlapping between subsp…
Improving Domain Adaptation Translation with Domain Invariant and Specific Information
Shuhao Gu, Yang Feng, Qun Liu
In domain adaptation for neural machine translation, translation performance can benefit from separating features into domain-specific features and common features. In this paper,…