UKRI CDT in Natural Language Processing

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    10 Crichton Street, Informatics Forum

    EH8 9AB Edinburgh

    United Kingdom

Organisation profile

Organisation profile

The UKRI Centre for Doctoral Training in Natural Language Processing is jointly run by the School of Informatics and the School of Philosophy, Psychology and Language Sciences and is funded by UK Research & Innovation. It started in 2019 and will comprise 5 cohorts of c. 12-15 students per cohort.


Its aim is to equip students with the fundamental skills for advanced research in NLP and language science, giving them foundations in: linguistics, machine learning, statistics, algorithms, programming, working with other modalities such as vision and design, ethics, and responsible innovation as they apply to NLP systems.


A four-year integrated training programme, it will give students a solid foundation in the challenge of working with language in a computational setting and its relevance to critical engineering, scientific and ethical problems in our modern world. It also offers training in the key software engineering and machine learning skills necessary to solve these problems. The programme aims to have a transformative effect as we train, and on the field as a whole, by developing future leaders and producing cutting-edge research in both methodology and applications.


The CDT brings together researchers in NLP, speech, linguistics, cognitive science, and design informatics from across the University of Edinburgh. Students are supervised from a pool of over 60 members of faculty and benefit from cutting edge computing and experimental facilities.

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Collaborations and top research areas from the last five years

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  • A low-resource pipeline for text-to-speech from found data with application to Scottish Gaelic

    Wells, D., Richmond, K. & Lamb, W., Sept 2023, Proceedings of the Annual Conference of the International Speech Communication Association: Interspeech 2023. Harte, N., Carson-Berndsen, J. & Jones, G. (eds.). Dublin: ISCA, p. 4324-4328 (Interspeech - Annual Conference of the International Speech Communication Association).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Everyone has an accent

    Markl, N. & Lai, C., Sept 2023, Proceedings of the Annual Conference of the International Speech Communication Association: Interspeech 2023. Harte, N., Carson-Berndsen, J. & Jones, G. (eds.). Dublin: ISCA, p. 4424-4427 (Interspeech - Annual Conference of the International Speech Communication Association).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Capturing Formality in Speech Across Domains and Languages

    Bhattacharya, D., Chi, J., Hirschberg, J. & Bell, P., 20 Aug 2023, Proc. INTERSPEECH 2023. International Speech Communication Association, p. 1030-1034 5 p. (Interspeech).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File