10 citations · 15 across the 3 of their papers we have counts for
3 papers
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
Data quality is a problem that perpetually resurfaces throughout the field of NLP, regardless of task, domain, or architecture, and remains especially severe for lower-resource lan…
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Sneha Kudugunta, Isaac Caswell, Biao Zhang +8
We introduce MADLAD-400, a manually audited, general domain 3T token monolingual dataset based on CommonCrawl, spanning 419 languages. We discuss the limitations revealed by self-a…
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation
Alex Jones, Isaac Caswell, Ishank Saxena +1
Neural machine translation (NMT) has progressed rapidly over the past several years, and modern models are able to achieve relatively high quality using only monolingual text data,…