On the Complementarity between Pre-Training and Back-Translation for
Neural Machine Translation

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation

5 October 2021

Liang Ding

Papers citing "On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation"

8 / 8 papers shown

Title
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale Christos Baziotis Biao Zhang Alexandra Birch Barry Haddow 30 2 0 23 May 2023
Back Translation for Speech-to-text Translation Without Transcripts Qingkai Fang Yang Feng 35 13 0 15 May 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training Hao Fei Tat-Seng Chua Chenliang Li Donghong Ji Meishan Zhang Yafeng Ren 35 39 0 19 Apr 2023
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling Zhijun Wang Xuebo Liu Min Zhang 27 11 0 23 Nov 2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation Changtong Zan Liang Ding Li Shen Yu Cao Weifeng Liu Dacheng Tao 37 21 0 07 Sep 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis Bing Wang Liang Ding Qihuang Zhong Ximing Li Dacheng Tao 29 32 0 16 Apr 2022
Improving Neural Machine Translation by Bidirectional Training Liang Ding Di Wu Dacheng Tao 29 29 0 16 Sep 2021
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019