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!


Our today's #CVCSeminar hosted by Dr. Shay Cohen has started!
The room is full but you can still join in here ➡️(Microsoft Teams):

#NLProc #CVC

Congratulations to Jonathan Mallinson for passing his viva on "Universal Rewriting via Machine Translation" with minor corrections!

Thank you to the examiners @ccb and @alexandrabirch1.

#ACL2021NLP paper by @bricksdont: Understanding the Properties of MBR Decoding in NMT

How much is beam search to blame for deficiencies in MT output? MBR decoding still has biases, but is more robust to common failures (copy mode, hallucination).

EdinburghNLP at #eacl2021 best paper awards: Congrats to @Yevgen_M, Sharon Goldwater and alums @HermanKamper, @c_christodoulop for two Honourable Mentions, and alum @riedelcastro for Best Short Paper!

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