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How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation

How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation

2 July 2024
Yan Meng
Di Wu
Christof Monz
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Papers citing "How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation"

3 / 3 papers shown
Title
Cross-lingual Human-Preference Alignment for Neural Machine Translation
  with Direct Quality Optimization
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization
Kaden Uhlig
Joern Wuebker
Raphael Reinauer
John DeNero
41
0
0
26 Sep 2024
Quality Does Matter: A Detailed Look at the Quality and Utility of
  Web-Mined Parallel Corpora
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora
Surangika Ranathunga
Nisansa de Silva
Menan Velayuthan
Aloka Fernando
Charitha Rathnayake
39
11
0
12 Feb 2024
Training Dynamics for Text Summarization Models
Training Dynamics for Text Summarization Models
Tanya Goyal
Jiacheng Xu
J. Li
Greg Durrett
63
29
0
15 Oct 2021
1