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!

We are hiring new faculty! See here the job advertisement.

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The School of Informatics at Edinburgh @InfAtEd is recruiting a new head of school. This is an opportunity to lead one of the top computer science departments in Europe. Apply here: https://candidates.perrettlaver.com/vacancies/3352/head_of_school_of_informatics/

Here's a friendly introduction to Implicit MLE (https://arxiv.org/abs/2106.01798, NeurIPS 2021) and its adaptive version (https://arxiv.org/abs/2209.04862, AAAI 2023) for back-propagating through structured discrete distributions and combinatorial solvers: http://data.neuralnoise.com/talk_ellis_dec22.pdf, check it out! 🚀

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