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- W2964963729 abstract "The study of the construction of social meaning in ancient Maya communities of Mesoamerica poses a variety of methodological problems in historical sociolinguistics due to the reliance on written records by means of a writing system that exhibits variation itself. While variation in writing systems has been previously studied in terms of diachronic shifts and dialectal variation, systematic approaches still remain elusive. This paper explores new avenues for the computational extraction of sociolinguistic features, resulting in the automatic extraction of useful sociolinguistic information from written corpora using Machine Learning algorithms. We show that these features can help illuminating the contribution of pragmatic choices in the selection of graphemes to stylistic practices that are key in the construction of Mayan scribal communities of practice." @default.
- W2964963729 created "2019-08-13" @default.
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- W2964963729 date "2019-07-05" @default.
- W2964963729 modified "2023-10-14" @default.
- W2964963729 title "A Computational Approach to Scribal Practice" @default.
- W2964963729 doi "https://doi.org/10.5209/reaa.64967" @default.
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