Modeling Global Syntactic Variation in English Using Dialect Classification
| dc.contributor.author | Dunn J | |
| dc.date.accessioned | 2019-11-18T23:57:21Z | |
| dc.date.available | 2019-11-18T23:57:21Z | |
| dc.date.issued | 2019 | en |
| dc.date.updated | 2019-04-11T01:47:44Z | |
| dc.description.abstract | This paper evaluates global-scale dialect identiļ¬cation for 14 national varieties of English as a means for studying syntactic variation. The paper makes three main contributions: (i) introducing data-driven language mapping as a method for selecting the inventory of national varieties to include in the task; (ii) producing a large and dynamic set of syntactic features using grammar induction rather than focusing on a few hand-selected features such as function words; and( iii) comparing models across both web corpora and social media corpora in order to measure the robustness of syntactic variation across registers. | en |
| dc.identifier.citation | Dunn J (2019). Modeling Global Syntactic Variation in English Using Dialect Classification. North American Chapter of the Association for Computational Linguistics: Sixth Workshop on NLP for Similar Languages, Varieties and Dialects. Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/17631 | |
| dc.language.iso | en | |
| dc.publisher | Association for Computational Linguistics | en |
| dc.subject.anzsrc | Field of Research::20 - Language, Communication and Culture::2004 - Linguistics | en |
| dc.title | Modeling Global Syntactic Variation in English Using Dialect Classification | en |
| dc.type | Conference Contributions - Published | en |
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