Emeritus Professor Ian Witten

Emeritus Professor (Computer Science)

Qualifications: MSc Calg MA Camb PhD Essex CEng FACM FRSNZ MIEE MIEEE

Contact Details

Room: G.1.11A
Phone: +64 7 838 4246
Extension: 4246

Research Interests

Programming by example, text compression, machine learning, data mining, digital libraries, interactive systems.

Recent Publications

  • Fitzgerald, A., Konig, J., & Witten, I. H. (2019). F-Lingo: Integrating lexical feature identification into MOOC platforms for learning professional and academic English. In Proc 2019 IEEE Learning With MOOCS (LWMOOCS 2019) (pp. 101-104). Milwaukee, WI. doi:10.1109/LWMOOCS47620.2019.8939658 Open Access version:

  • Wu, S., Fitzgerald, A., Yu, A., & Witten, I. (2019). Developing and evaluating a learner-friendly collocation system with user query data. International Journal of Computer-Assisted Language Learning and Teaching, 9(2), 53-78. doi:10.4018/ijcallt.2019040104

  • Wu, S. (2018). A systematic review of using discipline-specific corpora for lexico-grammatical pattern learning: a case study for computer science postgraduates. International Journal of Computer-Assisted Language Learning and Teaching, 8(1), 31-49. doi:10.4018/IJCALLT.2018010103

  • Wu, S., Fitzgerald, A., Witten, I. H., & Yu, A. (2018). Automatically augmenting academic text for language learning: PhD Abstract corpora with the British Library. In Handbook of Research on Integrating Technology Into Contemporary Language Learning and Teaching (pp. 512-537). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-5140-9.ch025

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