5 citations · 13 across the 10 of their papers we have counts for
14 papers · 1 filter
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
Mengyu Bu, Shuhao Gu, Yang Feng
The many-to-many multilingual neural machine translation can be regarded as the process of integrating semantic features from the source sentences and linguistic features from the…
Addressing the Length Bias Problem in Document-Level Neural Machine Translation
Zhuocheng Zhang, Shuhao Gu, Min Zhang +1
Document-level neural machine translation (DNMT) has shown promising results by incorporating more context information. However, this approach also introduces a length bias problem…
Enhancing Neural Machine Translation with Semantic Units
Langlin Huang, Shuhao Gu, Zhuocheng Zhang +1
Conventional neural machine translation (NMT) models typically use subwords and words as the basic units for model input and comprehension. However, complete words and phrases comp…
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
Shuhao Gu, Bojie Hu, Yang Feng
This paper considers continual learning of large-scale pretrained neural machine translation model without accessing the previous training data or introducing model separation. We…
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings
Shuhao Gu, Yang Feng
The many-to-many multilingual neural machine translation can translate between language pairs unseen during training, i.e., zero-shot translation. Improving zero-shot translation r…
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Wanying Xie, Yang Feng, Shuhao Gu +1
Multilingual neural machine translation with a single model has drawn much attention due to its capability to deal with multiple languages. However, the current multilingual transl…