Jonathan Dunn

Senior LecturerJonathan Dunn

Elsie Locke Building 206
Internal Phone: 90305
How can computational linguistics inform linguistic theory?

Qualifications

Research Interests

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.

Recent Publications

  • Dunn J. (2021) Representations of Language Varieties Are Reliable Given Corpus Similarity Measures. In Proceedings of the EACL 2021 Eighth Workshop on NLP for Similar Languages, Varieties and Dialects: 28-38. Association for Computational Linguistics.
  • Dunn J. and Nini A. (2021) Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction. In Proceedings of the NAACL 2021 Tenth Workshop on Cognitive Modeling and Computational Linguistics: 149-159. Association for Computational Linguistics.
  • 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. (2020) Ontological and grammatical constraints on metaphor productivity. Script-Based Semantics: 55-76.De Gruyter Mouton. http://dx.doi.org/10.1515/9781501511707-004.
  • Dunn J. and Adams B. (2020) Geographically-Balanced Gigaword Corpora for 50 Language Varieties. In Proceedings of the Conference on Language Resources and Evaluation: 2528-2536. European Language Resources Association.