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        <title>The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties</title>
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            <namePart type="given">Hansi</namePart>
            <namePart type="family">Hettiarachchi</namePart>
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            <namePart type="given">Tharindu</namePart>
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    <abstract>Religiolects—language varieties shaped by re- ligious community identity—are low-resource domains often overlooked within high-resource languages. We present the Indo-Religiolect Corpus, the first large-scale dataset for In- donesian religious language variation, con- taining 3 million sentences from over 100 institutional websites representing Muslim, Catholic, and Protestant communities. Fine- tuning IndoBERT demonstrates these religi- olects are computationally distinguishable: Is- lamic Indonesian exhibits high distinctiveness (91.73%), while Catholic and Protestant vari- eties share substantial lexical overlap yet retain detectable shibboleths (86.41% and 86.64%). Our findings indicate a potential for represen- tation collapse: models trained on majority- normative data may default to secular or Muslim-dominant Indonesian, blurring distinct minority voices. We hypothesize that these gaps plausibly translate into downstream fair- ness risks for applications like content mod- eration and automated hiring. This corpus of- fers a template for documenting sub-national varieties, advancing linguistic equity beyond “National Language” benchmarks toward “No Language Variety Left Behind.”</abstract>
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%0 Conference Proceedings
%T The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties
%A Sachs, Dan
%Y Hettiarachchi, Hansi
%Y Ranasinghe, Tharindu
%Y Plum, Alistair
%Y Rayson, Paul
%Y Mitkov, Ruslan
%Y Gaber, Mohamed
%Y Premasiri, Damith
%Y Tan, Fiona Anting
%Y Uyangodage, Lasitha
%S Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-377-7
%F sachs-2026-indonesian
%X Religiolects—language varieties shaped by re- ligious community identity—are low-resource domains often overlooked within high-resource languages. We present the Indo-Religiolect Corpus, the first large-scale dataset for In- donesian religious language variation, con- taining 3 million sentences from over 100 institutional websites representing Muslim, Catholic, and Protestant communities. Fine- tuning IndoBERT demonstrates these religi- olects are computationally distinguishable: Is- lamic Indonesian exhibits high distinctiveness (91.73%), while Catholic and Protestant vari- eties share substantial lexical overlap yet retain detectable shibboleths (86.41% and 86.64%). Our findings indicate a potential for represen- tation collapse: models trained on majority- normative data may default to secular or Muslim-dominant Indonesian, blurring distinct minority voices. We hypothesize that these gaps plausibly translate into downstream fair- ness risks for applications like content mod- eration and automated hiring. This corpus of- fers a template for documenting sub-national varieties, advancing linguistic equity beyond “National Language” benchmarks toward “No Language Variety Left Behind.”
%U https://aclanthology.org/2026.loreslm-1.36/
%P 426-435

Markdown (Informal)

[The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties](https://aclanthology.org/2026.loreslm-1.36/) (Sachs, LoResLM 2026)

• The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties (Sachs, LoResLM 2026)

ACL

• Dan Sachs. 2026. The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties. In Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026), pages 426–435, Rabat, Morocco. Association for Computational Linguistics.