126 citations · 457 across the 23 of their papers we have counts for
5 papers · 1 filter
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
Thibault Sellam, Amy Pu, Hyung Won Chung +5
The quality of machine translation systems has dramatically improved over the last decade, and as a result, evaluation has become an increasingly challenging problem. This paper de…
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Xavier Garcia, Aditya Siddhant, Orhan Firat +1
Unsupervised translation has reached impressive performance on resource-rich language pairs such as English-French and English-German. However, early studies have shown that in mor…
BLEURT: Learning Robust Metrics for Text Generation
Thibault Sellam, Dipanjan Das, Ankur P. Parikh
Text generation has made significant advances in the last few years. Yet, evaluation metrics have lagged behind, as the most popular choices (e.g., BLEU and ROUGE) may correlate po…
ToTTo: A Controlled Table-To-Text Generation Dataset
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann +4
We present ToTTo, an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of…
A Multilingual View of Unsupervised Machine Translation
Xavier Garcia, Pierre Foret, Thibault Sellam +1
We present a probabilistic framework for multilingual neural machine translation that encompasses supervised and unsupervised setups, focusing on unsupervised translation. In addit…