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!


[1/4] Excited to share our new work on improving end-to-end speech translation with adaptive feature selection, to appear at Findings of #emnlp2020.

Joint work with @iatitov, @bazril and @RicoSennrich.


The School of Informatics at Edinburgh @InfAtEd invites applications for PhD Studentships in Computational Linguistics, Speech Technology and Cognitive Science at ILCC, starting September 2021. Deadlines: 27 November (non-UK) and 29 January (UK):

Reminder: Applications are now open for the UKRI Centre for Doctoral Training in Natural Language Processing @Edin_CDT_NLP at the University of Edinburgh! Details: Deadlines:
- non UK applications: 27.11.20
- UK applications: 29.01.21

All material of my course "Text Technologies for #DataScience" @InfAtEd is made publicly available this year, including recorded lectures, slides, and labs.
New content is added every week. Feel free to follow & share with anyone interested.


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