How can computational linguistics inform linguistic theory?
Jonathan is a computational linguist, working in both linguistic theory and natural language processing. His research models the emergence of grammatical structure within individuals and its diffusion across global populations.
Before joining the University of Canterbury, Jonathan held positions in computer science at the Illinois Institute of Technology and received a PhD in linguistics from Purdue University under Victor Raskin. He has also been an Intelligence Community Research Fellow under the US Office of the Director of National Intelligence and a Visiting Scientist at the US National Geospatial-Intelligence Agency.
- Dunn J. (2020) Mapping Languages: The Corpus of Global Language Use. Language Resources and Evaluation http://dx.doi.org/10.1007/s10579-020-09489-2.
- Dunn J. and Adams B.. (2020) Geographically-Balanced Gigaword Corpora for 50 Language Varieties. In Proceedings of the Conference on Language Resources and Evaluation: 2521-2529. European Language Resources Association.
- Dunn J., Coupe T. and Adams B.. (2020) Measuring Linguistic Diversity During COVID-19. In Jurgens D; Volkova S; Bamman D; Hovy D; O'Connor B (Eds). Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science.
- Mohammadhassan N., Mitrovic A., Neshatian K. and Dunn J.. (2020) Automatic quality assessment of comments in active video watching using machine learning techniques. In So H-J; Rodrigo MM; Mason J; Mitrovic A (Eds). I: 1-10. Taiwan: Asia-Pacific Society for Computers in Education.
- Dunn J. (2019) Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology. Frontiers in Artificial Intelligence: Language and Computation 2 15: 22. http://dx.doi.org/10.3389/frai.2019.00015.