Improving Robustness of Machine Translation with Synthetic Noise

Improving Robustness of Machine Translation with Synthetic Noise

25 February 2019

Craig Alan Stewart

Graham Neubig

Papers citing "Improving Robustness of Machine Translation with Synthetic Noise"

8 / 8 papers shown

Title
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation Ali Marashian Enora Rice Luke Gessler Alexis Palmer K. Wense 79 1 0 24 Feb 2025
ViPE: Visualise Pretty-much Everything Hassan Shahmohammadi Adhiraj Ghosh Hendrik P. A. Lensch DiffM 23 1 0 16 Oct 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise Kundan Krishna Yao-Min Zhao Jie Jessie Ren Balaji Lakshminarayanan Jiaming Luo Mohammad Saleh Peter J. Liu 21 4 0 20 Dec 2022
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 25 33 0 18 Nov 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 22 796 0 07 May 2021
Addressing the Vulnerability of NMT in Input Perturbations Weiwen Xu A. Aw Yang Ding Kui Wu Shafiq R. Joty AAML 11 10 0 20 Apr 2021
On the use of BERT for Neural Machine Translation S. Clinchant K. Jung Vassilina Nikoulina 11 89 0 27 Sep 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017