Research at Unbabel

November 2, 2022

I am thrilled to initiate a series of posts describing some recent exciting news. At Unbabel, we have been pioneering advancements in machine learning since 2015 when we initiated Unbabel AI Research. Throughout the years, we have been pushing forward the state of the art in translation quality estimation, evaluation metrics, and automatic post-editing towards building the World’s Translation Layer

Our work has been presented at top conferences in the field (ACL, NAACL, EMNLP, ICML, NeurIPS, WMT, AMTA, EAMT). We have fuelled open-source projects such as OpenKiwi and COMET that are now relied upon by many researchers around the world in industry and academia for translation quality estimation and evaluation. You can find some of our work at https://unbabel.com/research/ 

With that, our team is putting pen to paper and providing a platform to give other researchers and engineers a glimpse into our latest advances in research at Unbabel, with the goal to inspire others to use and build their research on top of our work and to contribute to our open-source tools.

We will kickstart this new R&D blog with a sequence of posts showcasing several of our recent achievements in research with topics that include:

Stay tuned!

About the Author

Profile Photo of Chloé Andrews
Chloé Andrews

Chloé is Unbabel's Product & Customer Marketing Manager. She specializes in enhancing customer understanding of Unbabel’s products and value through targeted messaging and strategic communication.