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!

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Online Social Support:
@LushiChenLucia presents her work @IC2S2 on how online users provide support to people who experience infidelity from their partners.

#Emoji & Identity:
@a_d_robertson presenting his work on the referential aspect of skin-toned emoji on social media @IC2S2.
Nice coincidence that this occurs just 1 day after the #WorldEmojiDay

#IC2S2
#EmojiDay

Delighted to receive #bestpaper Honourable Mention @icmlconf and now finish my blog post! Explaining why king - man + woman = queen: https://t.co/TVgL8fiDC7 … #icml2019 #word2vec #glove @tmh31 @yoavgo @omerlevy_ @JeffDean @RichardSocher

Congratulations all around! @claravania has been an absolutely phenomenal teammate for the past four years at @EdinburghNLP and I have learned *so much* from her. Very happy that she's joining a great group at @NYUDataScience and excited to see what she does next! https://t.co/Zm9muF6Qhj

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