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!


EdinburghNLP at #eacl2021 best paper awards: Congrats to @Yevgen_M, Sharon Goldwater and alums @HermanKamper, @c_christodoulop for two Honourable Mentions, and alum @riedelcastro for Best Short Paper!

Congratulations to @BalkirEsma for passing her viva with minor corrections! Thank you, Steve and Mark, for the examination.

A new CL paper about cross-lingual semantic parsing:

Universal Discourse Representation Structure Parsing, with Jiangming Liu, Shay Cohen, @mlapata and Johan Bos (@GroNlp).

Our last Stanford NLP Seminar of the winter quarter features Lena Voita (@lena_voita) from U of Edinburgh/Amsterdam speaking on analysis of Neural Machine Translation. Thursday Mar 18 10am PT (note US Daylight Savings Time), open to the public! Sign up at

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