Isaac Caswell
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, Software Engineering Research, Multimodal Machine Learning Applications
Most-Cited Works
- → Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling(2019)183 cited
- → Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets(2022)163 cited
- → Investigating Multilingual NMT Representations at Scale(2019)100 cited
- → Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation(2019)53 cited
- → Building Machine Translation Systems for the Next Thousand Languages(2022)43 cited
- → Learning a Multi-Domain Curriculum for Neural Machine Translation(2020)32 cited
- → Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning(2022)19 cited
- → BLEU might be Guilty but References are not Innocent(2020)13 cited
- → XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages(2023)10 cited