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Geographically-Informed Language Identification
March 18, 2024, 4:47 a.m. | Jonathan Dunn, Lane Edwards-Brown
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper develops an approach to language identification in which the set of languages considered by the model depends on the geographic origin of the text in question. Given that many digital corpora can be geo-referenced at the country level, this paper formulates 16 region-specific models, each of which contains the languages expected to appear in countries within that region. These regional models also each include 31 widely-spoken international languages in order to ensure coverage …
abstract arxiv country cs.cl digital geo identification language languages paper question set text type
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