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Natural language modelled and printed in 3D: a multi-disciplinary approach

Linguistics and Languages

Natural language modelled and printed in 3D: a multi-disciplinary approach

A. Pillen and E. Matthews

This innovative research by Alex Pillen and Emma-Kate Matthews delves into the 3D modeling of natural language, shedding light on the often-overlooked dimension of evidentiality. By utilizing advanced film and animation software, they transform linguistic samples from diverse languages into 3D printed models, offering a groundbreaking perspective on the complexities of language.

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Playback language: English
Abstract
This paper explores the 3D modeling of natural language, focusing on evidentiality as a third dimension often lost in translation. Using contemporary film and video animation software, the authors model evidentiality in language samples from Kurdish, an Amazonian language (Tariana), Neo-Assyrian Akkadian, and American English. The resulting digital 3D models are then 3D printed, offering a novel way to visualize and understand the high-dimensional form of language.
Publisher
Humanities and Social Sciences Communications
Published On
Mar 04, 2022
Authors
Alex Pillen, Emma-Kate Matthews
Tags
3D modeling
natural language
evidentiality
language translation
digital models
3D printing
linguistic visualization
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