Denoising Neural Machine Translation Training with Trusted Data and
Online Data Selection

Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection

31 August 2018

Taro Watanabe

Tetsuji Nakagawa

Papers citing "Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection"

18 / 18 papers shown

Title
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling David Grangier Simin Fan Skyler Seto Pierre Ablin 44 3 0 30 Sep 2024
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation Yan Meng Di Wu Christof Monz 36 1 0 02 Jul 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning E. Chimoto Jay Gala Orevaoghene Ahia Julia Kreutzer Bruce A. Bassett Sara Hooker VLM 44 4 0 29 May 2024
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text Isaac Caswell Lisa Wang Isabel Papadimitriou 28 0 0 11 Nov 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets Irina Bejan Artem Sokolov Katja Filippova TDI 32 9 0 27 Feb 2023
Scaling Laws for Multilingual Neural Machine Translation Patrick Fernandes Behrooz Ghorbani Xavier Garcia Markus Freitag Orhan Firat 41 29 0 19 Feb 2023
The unreasonable effectiveness of few-shot learning for machine translation Xavier Garcia Yamini Bansal Colin Cherry George F. Foster M. Krikun Fan Feng Melvin Johnson Orhan Firat 38 102 0 02 Feb 2023
AdaPrompt: Adaptive Model Training for Prompt-based NLP Yulong Chen Yang Liu Li Dong Shuohang Wang Chenguang Zhu Michael Zeng Yue Zhang VLM 27 45 0 10 Feb 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture Yamini Bansal Behrooz Ghorbani Ankush Garg Biao Zhang M. Krikun Colin Cherry Behnam Neyshabur Orhan Firat 42 47 0 04 Feb 2022
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics Markus Freitag David Grangier Qijun Tan Bowen Liang 33 92 0 17 Nov 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 27 85 0 14 Apr 2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets Julia Kreutzer Isaac Caswell Lisa Wang Ahsan Wahab D. Esch ... Duygu Ataman Orevaoghene Ahia Oghenefego Ahia Sweta Agrawal Mofetoluwa Adeyemi 20 267 0 22 Mar 2021
Data Weighted Training Strategies for Grammatical Error Correction Jared Lichtarge Chris Alberti Shankar Kumar 23 46 0 07 Aug 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem Danielle Saunders Bill Byrne AI4CE 24 137 0 09 Apr 2020
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 20 312 0 04 Dec 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation Wei Wang Isaac Caswell Ciprian Chelba 28 57 0 03 Jun 2019
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax Yinfei Yang Gustavo Hernández Ábrego Steve Yuan Mandy Guo Qinlan Shen Daniel Cer Yun-hsuan Sung B. Strope R. Kurzweil 52 115 0 22 Feb 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016