Having been a member of academic staff for many years, I then became a Research Fellow from August 2018 to September 2019, when I retired. I now have an honorary appointment in the Department of Computer Science, and continue to be Deputy Director of the National Centre for Text Mining (NaCTeM). I no longer accept any more PhD students.
I have been working in the general area of natural language processing since 1979, which I came to through previous studies in language and linguistics. Until 2000, I was with the Department of Language Engineering (and its Centre for Computational Linguistics) at UMIST, when I transferred to UMIST's Department of Computation. In 2004, UMIST and the Victoria University of Manchester came together to form the University of Manchester.
For many years, I worked on machine translation (MT) aspects, specifically on MT software design, on sublanguage-based MT, and on computational dictionaries. Multilingual issues and sublanguage concerns also brought me to develop strong interests in computational terminology and the representation of special knowledge. From the mid-80s on, I became involved in various language engineering standardisation initiatives such as EAGLES and ISLE. These focussed particularly on issues of reusability of language resources such as text corpora and electronic dictionaries, and design for reuse.
In the latter half of the 90s, I moved into the area of information extraction, working on ontology-driven information extraction, and then more broadly on text mining.
In September 2004, the National Centre for Text Mining (NaCTeM) was established. This was the first publicly funded national centre for text mining in the world and reflects thus the depth and breadth of text mining expertise here in the university. It is hosted by the School of Computer Science but is located in the Manchester Institute of Biotechnology. NaCTeM participates in several networks such as FLaReNet and Meta-Net, and has been heavily involved in collaborating with other partners in delivering OpenMinTed (the Open Mining Infrastructure for Text and Data).