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 natural language processing and linguistic theory. His research models how grammatical structure emerges within individuals and how variants spread across both dialects and registers.

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 published nearly 30 papers in computational linguistics and his first book (Natural Language Processing for Corpus Linguistics) is forthcoming on Cambridge University Press.

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. and Tayyar Madabushi H. (2021) Learned Construction Grammars Converge Across Registers Given Increased Exposure. In Proceedings of the Conference on Natural Language Learning 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.