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Impact case study database

The impact case study database allows you to browse and search for impact case studies submitted to the REF 2021. Use the search and filters below to find the impact case studies you are looking for.
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Natural Language Processing for Text Prediction and Feedback (TPAF): machine learning research saves 100,000 years in mobile phone typing time and provides feedback to language learners in less than 15 seconds

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Submitting institution
University of Cambridge
Unit of assessment
11 - Computer Science and Informatics
Summary impact type
Societal
Request cross-referral to
-
Is this case study continued from a case study submitted in 2014?
No
Underpinning research subjects
  • Artificial Intelligence And Image Processing
  • Specialist Studies In Education
  • Psychology

1. Summary of the impact

2. Underpinning research

3. References to the research

4. Details of the impact

5. Sources to corroborate the impact

Additional contextual information

Grant funding

Grant number Value of grant
ST/G003599/1 £83,897
Countries
  • Global
Global research identifiers
  • grid.14467.30
Name of funders
  • STFC