CHAMUÇA: Towards a Linked Data Language Resource of Portuguese Borrowings in Asian Languages

Fahad Khan, Ana Salgado, Isuri Anuradha, Rute Costa, Chamila Liyanage, John P. McCrae, Atul Kr. Ojha, Priya Rani, Francesca Frontini

Abstract
This paper presents the development of CHAMUÇA, a novel lexical resource designed to document the influence of the Portuguese language on various Asian languages, with an initial focus on the languages of South Asia. Through the utilization of linked open data and the OntoLex vocabulary, CHAMUÇA offers structured insights into the linguistic characteristics, and cultural ramifications of Portuguese borrowings across multiple languages. The article outlines CHAMUÇA’s potential contributions to the linguistic linked data community, emphasising its role in addressing the scarcity of resources for lesser-resourced languages and serving as a test case for organising etymological data in a queryable format. CHAMUÇA emerges as an initiative towards the comprehensive catalogization and analysis of Portuguese borrowings, offering valuable insights into language contact dynamics, historical evolution, and cultural exchange in Asia, one that is based on linked data technology.
Anthology ID:
2024.ldl-1.6
Volume:
Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Christian Chiarcos, Katerina Gkirtzou, Maxim Ionov, Fahad Khan, John P. McCrae, Elena Montiel Ponsoda, Patricia Martín Chozas
Venues:
LDL | WS
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
44–48
Language:
URL:
https://aclanthology.org/2024.ldl-1.6
DOI:
Bibkey:
Cite (ACL):
Fahad Khan, Ana Salgado, Isuri Anuradha, Rute Costa, Chamila Liyanage, John P. McCrae, Atul Kr. Ojha, Priya Rani, and Francesca Frontini. 2024. CHAMUÇA: Towards a Linked Data Language Resource of Portuguese Borrowings in Asian Languages. In Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, pages 44–48, Torino, Italia. ELRA and ICCL.
Cite (Informal):
CHAMUÇA: Towards a Linked Data Language Resource of Portuguese Borrowings in Asian Languages (Khan et al., LDL-WS 2024)
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