About this Fellow
Robin Cooper has an undergraduate degree from the University of Cambridge and a PhD in Linguistics from the University of Massachusetts at Amherst. He has taught at the following universities: Universität Freiburg, University of Texas at Austin, University of Massachusetts at Amherst, University of Wisconsin at Madison, Stanford University, Lund University, Edinburgh University and University of Gothenburg where he was previously Professor of Computational Linguistics and is now Senior Professor. He has held a Mellon Postdoctoral Fellowship and a Guggenheim Fellowship and has been a fellow at the Centre for Advanced Study in the Behavioral Sciences at Stanford. He is a Fellow of the British Academy and the Royal Society of Arts and Sciences in Gothenburg and a member of Academia Europaea. He holds an honorary doctorate from Uppsala. His main research interests are semantics (both theoretical and computational), dialogue semantics and computational dialogue systems. Currently he is working on a type theoretical approach to language.
- Professor of Computational Linguistics, University of Gothenburg
- Assistant, Associate Professor of Linguistics, University of Wisconsin, Madison, 1977 - 1987
- Lecturer, Reader in Cognitive Science and Artificial Intelligence, University of Edinburgh, 1986 - 1996
- Professor of Computational Linguistics, Göteborg University, Sweden, 1995
Historical and comparative syntax of the Romance, Germanic and Celtic languages; grammatical analysis adopting and adapting the concepts and techniques of Chomskyan generative theory.
Oral and written literatures of Africa; orality, performance and genre in the popular cultures of West Africa with particular reference to Hausa-speaking regions of Nigeria and Niger
Synchronic and diachronic morpho-phonology of Germanic and Indo-Aryan language families, and psycholinguistic and neurolinguistic research on the phonological and morphological representations of the mental lexicon
Computational learning theory and machine learning applied to grammar induction and natural language processing, computational and formal semantics, and computational modeling of cognitive processes