Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation

7 October 2019

Papers citing "Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation"

8 / 8 papers shown

Title
IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages Muhammad Farid Adilazuarda Samuel Cahyawijaya Genta Indra Winata Pascale Fung Ayu Purwarianti 52 11 0 21 Nov 2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization Xiaokai Wei Sujan Kumar Gonugondla W. Ahmad Shiqi Wang Baishakhi Ray ... Ben Athiwaratkun Mingyue Shang M. K. Ramanathan Parminder Bhatia Bing Xiang MQ 41 6 0 09 Mar 2023
Multi-lingual Evaluation of Code Generation Models Ben Athiwaratkun Sanjay Krishna Gouda Zijian Wang Xiaopeng Li Yuchen Tian ... Baishakhi Ray Parminder Bhatia Sudipta Sengupta Dan Roth Bing Xiang ELM 120 160 0 26 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations Zilu Tang Muhammed Yusuf Kocyigit Derry Wijaya 40 9 0 20 Oct 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 174 86 0 06 Dec 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 47 801 0 07 May 2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation Haoran Xu Seth Ebner M. Yarmohammadi A. White Benjamin Van Durme Kenton W. Murray CLL 24 39 0 03 Mar 2021
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017