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Communication Dans Un Congrès Année : 2023

Typology of topological relations using machine translation

Résumé

Languages describe spatial relations in different manners. It is however hypothesized that highly frequent ways of categorizing spatial relations across languages correspond to the natural ways humans conceptualize them. In this study, we explore the use of machine translation to gather data in semantic typology to address whether different languages show similarities in how they carve up space. We collected spatial descriptions in English, translated them using machine translation, and subsequently extracted spatial terms automatically. Our results suggest that most spatial descriptions are accurately translated. Despite limitations in our extraction of spatial terms, we obtain meaningful patterns of spatial relation categorization across languages. We discuss translation limits for semantic typology and possible future directions.

Dates et versions

hal-04347563 , version 1 (15-12-2023)

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Tanguy Tiran, Floor Meewis, Abdellah Fourtassi, Isabelle Dautriche. Typology of topological relations using machine translation. Proceedings of the Annual Meeting of the Cognitive Science Society, Jul 2023, Melbourne, Australia. ⟨10.31234/osf.io/95nrd⟩. ⟨hal-04347563⟩
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