Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resources

Fuente: arXiv
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Main Authors: Sumanathilaka, Deshan, Perera, Sameera, Dharmasiri, Sachithya, Athukorala, Maneesha, Herath, Anuja Dilrukshi, Dias, Rukshan, Gamage, Pasindu, Weerasinghe, Ruvan, Priyadarshana, Y. H. P. P.
Format: Preprint
Published: 2025
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author Sumanathilaka, Deshan
Perera, Sameera
Dharmasiri, Sachithya
Athukorala, Maneesha
Herath, Anuja Dilrukshi
Dias, Rukshan
Gamage, Pasindu
Weerasinghe, Ruvan
Priyadarshana, Y. H. P. P.
author_facet Sumanathilaka, Deshan
Perera, Sameera
Dharmasiri, Sachithya
Athukorala, Maneesha
Herath, Anuja Dilrukshi
Dias, Rukshan
Gamage, Pasindu
Weerasinghe, Ruvan
Priyadarshana, Y. H. P. P.
contents The Swa-bhasha Resource Hub provides a comprehensive collection of data resources and algorithms developed for Romanized Sinhala to Sinhala transliteration between 2020 and 2025. These resources have played a significant role in advancing research in Sinhala Natural Language Processing (NLP), particularly in training transliteration models and developing applications involving Romanized Sinhala. The current openly accessible data sets and corresponding tools are made publicly available through this hub. This paper presents a detailed overview of the resources contributed by the authors and includes a comparative analysis of existing transliteration applications in the domain.
format Preprint
id arxiv_https___arxiv_org_abs_2507_09245
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resources
Sumanathilaka, Deshan
Perera, Sameera
Dharmasiri, Sachithya
Athukorala, Maneesha
Herath, Anuja Dilrukshi
Dias, Rukshan
Gamage, Pasindu
Weerasinghe, Ruvan
Priyadarshana, Y. H. P. P.
Computation and Language
The Swa-bhasha Resource Hub provides a comprehensive collection of data resources and algorithms developed for Romanized Sinhala to Sinhala transliteration between 2020 and 2025. These resources have played a significant role in advancing research in Sinhala Natural Language Processing (NLP), particularly in training transliteration models and developing applications involving Romanized Sinhala. The current openly accessible data sets and corresponding tools are made publicly available through this hub. This paper presents a detailed overview of the resources contributed by the authors and includes a comparative analysis of existing transliteration applications in the domain.
title Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resources
topic Computation and Language
url https://arxiv.org/abs/2507.09245