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Emeritus Professor Ian Witten

Ian Witten

Emeritus Professor (Computer Science)

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

Personal Website: http://www.cs.waikato.ac.nz/~ihw/

Research Interests

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

Recent Publications

  • 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., 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

  • 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

  • Fitzgerald, A., Marin, M. J., Wu, S., & Witten, I. H. (2017). Evaluating the efficacy of the digital commons for scaling data-driven learning. In M. Carrier, R. M. Damerow, & K. M. Bailey (Eds.), Digital Language Learning and Teaching: Research, Theory and Practice (pp. 38-51). Routledge. doi:10.4324/9781315523293

Find more research publications by Ian Witten


Contact Details

Name  Extn.  Username  Room  Department
Witten, Prof Ian 4246 ihw G.1.11A Computer Science

You can contact staff by:
  • Calling +64 7 838 4466  select option 1, then enter the extension
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension
    • For extensions starting with 5: dial +64 7 858 extension
    • For extensions starting with 9: dial +64 7 837 extension
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension  e.g. 3123 = +64 7 262 0123
  • Emailing username@waikato.ac.nz
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