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 csrankings.org. 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.

news

Congratulations to Dr Spandana Gella, who today successfully defended her thesis on "Visual Context for Sense Disambiguation and Multilingual Representation Learning"!

Honoured to be the keynote speaker of ACLing2018 in Dubai, UAE. Will be discussing the required Arabic NLP tools for effective social media analysis.
I look forward to meeting many brilliant researchers in #ArabicNLP there.

https://t.co/2Pj1r56naU

Malvina Nissim visiting Edinburgh to talk about the power of weak signal at the ILCC seminar.

. @bazril and I have a fully funded PhD position (for UK/EU students) at @EdinburghNLP to work on spoken language translation in the H2020 ELITR project. Application deadline 31/11. Start date Jan-March 2019. Contact us if interested.

We are honored to receive this award!
Thanks a lot to the organizers and the program committee!

Code coming soon! https://t.co/8iUYxyiGHt

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