193 citations · 207 across the 8 of their papers we have counts for
9 papers
Evaluating the Efficacy of Length-Controllable Machine Translation
Hao Cheng, Meng Zhang, Weixuan Wang +3
Length-controllable machine translation is a type of constrained translation. It aims to contain the original meaning as much as possible while controlling the length of the transl…
End-to-end Training and Decoding for Pivot-based Cascaded Translation Model
Hao Cheng, Meng Zhang, Liangyou Li +2
Utilizing pivot language effectively can significantly improve low-resource machine translation. Usually, the two translation models, source-pivot and pivot-target, are trained ind…
Triangular Transfer: Freezing the Pivot for Triangular Machine Translation
Meng Zhang, Liangyou Li, Qun Liu
Triangular machine translation is a special case of low-resource machine translation where the language pair of interest has limited parallel data, but both languages have abundant…
Universal Conditional Masked Language Pre-training for Neural Machine Translation
Pengfei Li, Liangyou Li, Meng Zhang +2
Pre-trained sequence-to-sequence models have significantly improved Neural Machine Translation (NMT). Different from prior works where pre-trained models usually adopt an unidirect…
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
Minghao Wu, Yitong Li, Meng Zhang +3
Learning multilingual and multi-domain translation model is challenging as the heterogeneous and imbalanced data make the model converge inconsistently over different corpora in re…
SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory
Zhijie Lin, Zhou Zhao, Haoyuan Li +4
Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its applica…
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation
Zhixing Tan, Zeyuan Yang, Meng Zhang +3
With the rapid development of artificial intelligence (AI), there is a trend in moving AI applications, such as neural machine translation (NMT), from cloud to mobile devices. Cons…
Learning to Detect Unacceptable Machine Translations for Downstream Tasks
Meng Zhang, Xin Jiang, Yang Liu +1
The field of machine translation has progressed tremendously in recent years. Even though the translation quality has improved significantly, current systems are still unable to pr…
Word-level Textual Adversarial Attacking as Combinatorial Optimization
Yuan Zang, Fanchao Qi, Chenghao Yang +4
Adversarial attacks are carried out to reveal the vulnerability of deep neural networks. Textual adversarial attacking is challenging because text is discrete and a small perturbat…