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# Jonathan Dunn

2 paper cards in Mova's library · 2019–2021

Jonathan Dunn wrote 2 of the papers Mova reads, in 2019–2021.

[OpenAlex](https://openalex.org/A5063420865) · [ORCID](https://orcid.org/0000-0002-1189-1908) · [**h-index 13**](https://openalex.org/authors/A5063420865) · [562 citations](https://openalex.org/authors/A5063420865) · [68 works](https://openalex.org/works?filter=author.id:A5063420865) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jonathan+Dunn) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jonathan+Dunn) · [dblp](https://dblp.org/search?q=Jonathan+Dunn) · [ACL Anthology](https://aclanthology.org/search/?q=Jonathan+Dunn) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Jonathan+Dunn)

## Papers

1. **[Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs](https://md.mova.elamur.ai/free/en/docs/papers/dunn-2021-finding-variants-construction-based-dialectometry/)** *(2021)* The paper proposes dialectometry on whole grammars. A construction grammar (4,504 constructions) is first induced from an independent corpus (ukWac), so no variant has to be chosen in advance. Each construction's relative frequency in a sample becomes a feature, and a linear SVM predicts the region of a sample. Two…
2. **[Modeling Global Syntactic Variation in English Using Dialect Classification](https://md.mova.elamur.ai/free/en/docs/papers/dunn-2019-modeling-global-syntactic-variation-english/)** *(2019)* The paper asks which English national varieties exist, and then models their syntax. Geo-referenced web text (Common Crawl, 16.65 billion words) and tweets (4.14 billion words) are used; a variety is kept if it has at least 15 million words in both sources, which gives 14 national varieties. The features are…
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