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.

news

Exciting new work by Annie Louis and colleagues from @EdinburghNLP, to appear in the upcoming #emnlp2018 #NLProc

Getting to Hearer-old: Charting Referring Expressions Across Time
https://t.co/NYySWMlvMd

Please come along to our @LangLunchEd welcome reception for new postgrads this Friday from 16:00-18:00 in G07 Informatics Forum! 🥂

Proud to announce this year's invited talks: @asifa_majid on "Semantic Spaces across Diverse Languages" and @wellingmax on "Inductive Bias in Deep Learning". Abstracts and bios at https://t.co/EhsPaGo7kA

"Our language model proves surprisingly good at identifying the selectional restrictions of English derivational morphemes", Yova Kementchedjhieva & Adam Lopez #BlackboxNLP https://t.co/zGGTl21YzC

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