184 citations · 204 across the 4 of their papers we have counts for
10 papers
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning
Aditya Siddhant, Ankur Bapna, Orhan Firat +4
Achieving universal translation between all human language pairs is the holy-grail of machine translation (MT) research. While recent progress in massively multilingual MT is one s…
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
Isaac Caswell, Theresa Breiner, Daan van Esch +1
Large text corpora are increasingly important for a wide variety of Natural Language Processing (NLP) tasks, and automatic language identification (LangID) is a core technology nee…
BLEU might be Guilty but References are not Innocent
Markus Freitag, David Grangier, Isaac Caswell
The quality of automatic metrics for machine translation has been increasingly called into question, especially for high-quality systems. This paper demonstrates that, while choice…
Translationese as a Language in "Multilingual" NMT
Parker Riley, Isaac Caswell, Markus Freitag +1
Machine translation has an undesirable propensity to produce "translationese" artifacts, which can lead to higher BLEU scores while being liked less by human raters. Motivated by t…
Investigating Multilingual NMT Representations at Scale
Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell +2
Multilingual Neural Machine Translation (NMT) models have yielded large empirical success in transfer learning settings. However, these black-box representations are poorly underst…
Learning a Multi-Domain Curriculum for Neural Machine Translation
Wei Wang, Ye Tian, Jiquan Ngiam +3
Most data selection research in machine translation focuses on improving a single domain. We perform data selection for multiple domains at once. This is achieved by carefully intr…