WordNet-QU: Development of a Lexical Database for Quechua Varieties

Nelsi Melgarejo, Rodolfo Zevallos, Hector Gomez, John E. Ortega


Abstract
In the effort to minimize the risk of extinction of a language, linguistic resources are fundamental. Quechua, a low-resource language from South America, is a language spoken by millions but, despite several efforts in the past, still lacks the resources necessary to build high-performance computational systems. In this article, we present WordNet-QU which signifies the inclusion of Quechua in a well-known lexical database called wordnet. We propose WordNet-QU to be included as an extension to wordnet after demonstrating a manually-curated collection of multiple digital resources for lexical use in Quechua. Our work uses the synset alignment algorithm to compare Quechua to its geographically nearest high-resource language, Spanish. Altogether, we propose a total of 28,582 unique synset IDs divided according to region like so: 20510 for Southern Quechua, 5993 for Central Quechua, 1121 for Northern Quechua, and 958 for Amazonian Quechua.
Anthology ID:
2022.coling-1.390
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
4429–4433
Language:
URL:
https://aclanthology.org/2022.coling-1.390
DOI:
Bibkey:
Cite (ACL):
Nelsi Melgarejo, Rodolfo Zevallos, Hector Gomez, and John E. Ortega. 2022. WordNet-QU: Development of a Lexical Database for Quechua Varieties. In Proceedings of the 29th International Conference on Computational Linguistics, pages 4429–4433, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
WordNet-QU: Development of a Lexical Database for Quechua Varieties (Melgarejo et al., COLING 2022)
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PDF:
https://aclanthology.org/2022.coling-1.390.pdf