11 citations · 28 across the 9 of their papers we have counts for
12 papers
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation
Chenyang Huang, Fei Huang, Zaixiang Zheng +3
Multilingual neural machine translation (MNMT) aims at using one single model for multiple translation directions. Recent work applies non-autoregressive Transformers to improve th…
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators
Xinyou Wang, Zaixiang Zheng, Shujian Huang
Recently, non-autoregressive (NAR) neural machine translation models have received increasing attention due to their efficient parallel decoding. However, the probabilistic framewo…
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
Lihua Qian, Yi Zhou, Zaixiang Zheng +7
This paper describes the Volctrans' submission to the WMT21 news translation shared task for German->English translation. We build a parallel (i.e., non-autoregressive) translation…
DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Qu Cui, Shujian Huang, Jiahuan Li +4
Machine Translation Quality Estimation (QE) is a task of predicting the quality of machine translations without relying on any reference. Recently, the predictor-estimator framewor…
RPD: A Distance Function Between Word Embeddings
Xuhui Zhou, Zaixiang Zheng, Shujian Huang
It is well-understood that different algorithms, training processes, and corpora produce different word embeddings. However, less is known about the relation between different embe…
Towards Making the Most of Context in Neural Machine Translation
Zaixiang Zheng, Xiang Yue, Shujian Huang +2
Document-level machine translation manages to outperform sentence level models by a small margin, but have failed to be widely adopted. We argue that previous research did not make…