Media of Langue: Exploring Word Translation Network

Goki Muramoto, Atsuki Sato, Takayoshi Koyama


Abstract
In the human activity of word translation, two languages face each other, mutually searching their own language system for the semantic place of words in the other language. We discover the huge network formed by the chain of these mutual translations as *Word Translation Network*, a network where words are nodes, and translation volume is represented as edges, and propose *Word Translation Map*, a novel interface for exploring this network. *Word Translation Map* points to the semantic configurations of many words in multiple languages at once, containing the information of existing dictionaries such as bilingual and synonym dictionaries. We have also implemented and published this interface as a web application, focusing on seven language pairs. This paper first defines the *Word Translation Network* and describes how to actually construct the network from bilingual corpora, followed by an analysis of the properties of the network. Next, we explain how to design a *Word Translation Map* using this network, and finally, we analyze the features of the *Word Translation Map* as a dictionary. The web application is publicly accessible at www.media-of-langue.org.
Anthology ID:
2025.findings-naacl.387
Volume:
Findings of the Association for Computational Linguistics: NAACL 2025
Month:
April
Year:
2025
Address:
Albuquerque, New Mexico
Editors:
Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
6977–6994
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.387/
DOI:
Bibkey:
Cite (ACL):
Goki Muramoto, Atsuki Sato, and Takayoshi Koyama. 2025. Media of Langue: Exploring Word Translation Network. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 6977–6994, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):
Media of Langue: Exploring Word Translation Network (Muramoto et al., Findings 2025)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.387.pdf