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. (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.
- Dunn J. and Adams B.. (2019) Mapping Languages and Demographics with Georeferenced Corpora. In Proceedings of GeoComputation 2019 http://dx.doi.org/10.17608/k6.auckland.9869252.v2.
- Dunn J.. (2019) Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar. In Chersoni E; Jacobs C; Lenci A; Linzen T; Prévot L; Santus E (Eds). Proceedings of the NAACL 2019 Workshop on Cognitive Modeling and Computational Linguistics: 117-128. Stroudsburg: Association for Computational Linguistics. http://dx.doi.org/10.18653/v1/W19-2913.