How can computational linguistics inform linguistic theory?
Qualifications
Research Interests
I am a computational linguist using data science to model both the emergence of grammatical structure and variation in grammatical structure using large multi-lingual corpora. My recent work has also focused on the impact of linguistic variation on computational models and on low-resource contexts. I have published 35 papers and my first book was recently published by Cambridge University Press. My interdisciplinary teaching experience includes a MOOC which has now taught over 12,000 students about natural language processing.
Recent Publications
- Dunn J. (2022) Natural Language Processing for Corpus Linguistics. Cambridge University Press. http://dx.doi.org/10.1017/9781009070447.
- Dunn J. (2023) Exploring the Constructicon: Linguistic Analysis of a Computational CxG. In Proceedings of the First International Workshop on Construction Grammars and NLP: 1-11.
- Dunn J. (2023) Variation and Instability in Dialect-Based Embedding Spaces. In Proceedings of the Workshop on NLP for Similar Languages, Varieties and Dialects Association for Computational Linguistics. http://dx.doi.org/10.48550/arXiv.2303.14963.
- Dunn J. (2022) Exposure and emergence in usage-based grammar: Computational experiments in 35 languages. Cognitive Linguistics 33(4): 659-699. http://dx.doi.org/10.1515/cog-2021-0106.
- Dunn J. (2022) Cognitive Linguistics Meets Computational Linguistics: Construction Grammar, Dialectology, and Linguistic Diversity.. In Tay D; Pan MX (Ed.), Data Analytics in Cognitive Linguistics: Methods and Insights: 273-308.De Gruyter Mouton. http://dx.doi.org/10.1515/9783110687279-010.