The Natural Language Processing Group at the University of Edinburgh (EdinburghNLP) is a group of faculty, postdocs, and PhD students working on algorithms that make it possible for computers to understand and produce human language. We do research in all core areas of natural language processing, including morphology, parsing, semantics, discourse, language generation, and machine translation. EdinburghNLP also has a strong track record of work at the interface of NLP with other areas, including speech technology, machine learning, computer vision, cognitive modeling, social media, information retrieval, robotics, bioinformatics, and educational technology.

With 11 core faculty members, EdinburghNLP is one of the largest NLP group in the world. It is also ranked as the most productive group in the area, according to Our achievements include the award-winning neural machine translation system Nematus and the high-performance language modeling toolkit KenLM. EdinbughNLP faculty have a strong record of getting high-profile grants, and have so far won a total of five European Research Council (ERC) grants.

We are looking for new PhD students! Join us. Also, please check out the new UKRI Centre for Doctoral Training in Natural Language Processing!


Are you planning to submit to the Student Research Workshop? Consider sending in your draft for pre-submission mentoring until March 1.

Experienced members of the ACL community will provide feedback on your writing.

Learn more: #ACL2021NLP #NLProc

Today's talks by Yoshua Bengio, @sameer_ + panel discussion (Phil Blunsom, @mlapata, @YejinChoinka and Yoshua) are also now online! Thank you to all the speakers! Very interesting talks and discussions. Watch the talks here:

Big thank you to @YejinChoinka, @HinrichSchuetze,
and Yulia Tsvetkov for the very interesting talks at @ELLISforEurope NLP workshop! You can watch them online at

We have an opportunity to work with @bazril and myself at Aveni on lots of cool problems in conversational AI. If you're an experienced NLP engineer apply here👇 today!

Very excited to see our Systematic Review of Natural Language Processing Applied to Radiology Reports out on arXiv now

Thanks to the hard work of @ArleneCasey and team.

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