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!


The complete schedule of EurNLP 2019 is now available. We will have 12 high-quality talks + 1 keynote from amazing speakers, a poster session, and a panel discussion.


We are pleased to welcome the first cohort of students to the interdisciplinary UKRI Centre for Doctoral Training in Natural Language Processing

A fascinating article by @lena_voita if you're interested in understanding what makes MLM models like BERT differents from LM models like GPT/GPT-2 (auto-regressive) and MT models.

And conveyed in such a beautiful blog post, a master-piece of knowledge sharing!

Evolution of Representations in the Transformer: blog post on our @emnlp2019 paper is out!
blog post:
@lena_voita, @RicoSennrich, @iatitov

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