Abstract
An interdisciplinary study that combines linguistic typology, corpus linguistics, and computational linguistics to quantitatively review Greenberg’s Universal 1 is presented. By proposing new metrics and formalizations, we aim to provide a more accurate representation of language usage to solve the problem of basic word order in natural languages. A typological characterization of 143 languages is proposed. We perform a typometrical study using Universal Dependencies in order to quantitative evaluate new metrics. Our results show universal trends and can serve to categorize languages and to test universals with languages that have never been quantitatively checked.
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Notes
- 1.
S = Subject; V = Verb O = Object, NDO = Non-Dominant Order.
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Brosa-Rodríguez, A., Jiménez-López, M.D. (2023). A Typometrical Study of Greenberg’s Linguistic Universal 1. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_19
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