Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation

14 April 2022

Papers citing "Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation"

7 / 7 papers shown

Title
Data Augmentation for Machine Translation via Dependency Subtree Swapping Attila Nagy Dorina Lakatos Botond Barta Patrick Nanys Judit Ács 91 1 0 13 Jul 2023
Investigating Masking-based Data Generation in Language Models Edward Ma 77 0 0 16 Jun 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models Qinhong Zhou Zonghan Yang Peng Li Yang Liu 128 3 0 15 Jun 2023
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning Rongxiang Weng Qiang Wang Wensen Cheng Changfeng Zhu Min Zhang 97 2 0 20 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 144 34 0 21 Dec 2022
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task Keqin Bao Boyi Deng Dayiheng Liu Baosong Yang Wenqiang Lei Xiangnan He Derek F.Wong Jun Xie 106 5 0 18 Oct 2022
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task Boyi Deng Keqin Bao Dayiheng Liu Baosong Yang Derek F. Wong Lidia S. Chao Wenqiang Lei Jun Xie 104 11 0 18 Oct 2022