ResearchTrend.AI
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

Zhiwei He
Xing Wang
Rui Wang
Shuming Shi
Zhaopeng Tu
ArXivPDFHTML

Papers citing "Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation"

5 / 5 papers shown
Title
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Shenghong He
OffRL
260
0
0
10 Feb 2025
Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task
Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task
Zhiwei He
Xing Wang
Zhaopeng Tu
Shuming Shi
Rui Wang
31
9
0
17 Oct 2022
The first neural machine translation system for the Erzya language
The first neural machine translation system for the Erzya language
David Dale
78
7
0
19 Sep 2022
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
270
0
30 Sep 2019
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
191
1,640
0
11 Oct 2017