8 citations · 8 across the 2 of their papers we have counts for
5 papers
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…
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…
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh +1
Knowledge distillation is considered as a training and compression strategy in which two neural networks, namely a teacher and a student, are coupled together during training. The…
Revisiting Robust Neural Machine Translation: A Transformer Case Study
Peyman Passban, Puneeth S. M. Saladi, Qun Liu
Transformers (Vaswani et al., 2017) have brought a remarkable improvement in the performance of neural machine translation (NMT) systems but they could be surprisingly vulnerable t…
Document Graph for Neural Machine Translation
Mingzhou Xu, Liangyou Li, Derek. F. Wong +2
Previous works have shown that contextual information can improve the performance of neural machine translation (NMT). However, most existing document-level NMT methods only consid…