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. Also, please check out the new UKRI Centre for Doctoral Training in Natural Language Processing!

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It is our pleasure to announce the Call for Papers for ICLR 2021. For the first time there will be an abstract submission (due September 28) before the full paper deadline (October 2).

For details see: https://iclr.cc/Conferences/2021/CallForPapers

Looking forward to many exciting submissions!

Congratulations also to Edinburgh authors at IWPT2020, the international conference on parsing technologies, co-located with ACL2020 @aclmeeting https://iwpt20.sigparse.org/

Congratulations to all @EdinburghNLP authors on their accepted @aclmeeting ACL2020 papers! The total count is 18 papers, well done everyone.

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