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!

news

2 papers accepted to @emnlp2019 !
1) The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
2) Context-Aware Monolingual Repair for Neural Machine Translation.
@lena_voita, @RicoSennrich , @iatitov

Celebrating 6 #emnlp2019 papers with wonderful students and colleagues - @lena_voita, @chunchuan_lyu, Bailin Wang, @BZhangGo, Xinchi Chen, @RicoSennrich, @mlapata and Shay Cohen

Our "cute" paper on "Semantic graph parsing with recurrent neural network DAG grammars" has been accepted to #emnlp2019! Joint work with Mirella Lapata and the king and queen of graphs @there_are_two_ and @SorchaGilroy

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