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        <title>Mining Naturally Romanized Seed Corpora without Romanizations</title>
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            <title>Proceedings of the Fifteenth Language Resources and Evaluation Conference</title>
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    <abstract>While the Latin script is used informally by speakers of many languages with different native scripts, high quality Latin script corpora for such languages that reflect actual natural romanizations are scarce and often difficult to collect. In this work, we propose a method for mining romanized language corpora in languages for which we do not have any pre-existing samples of naturally romanized text, focusing on Tigrinya as a test case. First we examine the efficacy of learning romanizations for a language based on observed romanizations in other languages that use the same native script. We then extrinsically assess such methods by using a romanization model trained on Amharic data to bootstrap coverage of romanized Tigrinya in a language identification system. Manual evaluation by two L1 and one L2 Tigrinya speakers suggests our method extracts romanized Tigrinya text with acceptably high precision.</abstract>
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%0 Conference Proceedings
%T Mining Naturally Romanized Seed Corpora without Romanizations
%A Benton, Adrian
%A Gutkin, Alexander
%A Kirov, Christo
%A Roark, Brian
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F benton-etal-2026-mining
%X While the Latin script is used informally by speakers of many languages with different native scripts, high quality Latin script corpora for such languages that reflect actual natural romanizations are scarce and often difficult to collect. In this work, we propose a method for mining romanized language corpora in languages for which we do not have any pre-existing samples of naturally romanized text, focusing on Tigrinya as a test case. First we examine the efficacy of learning romanizations for a language based on observed romanizations in other languages that use the same native script. We then extrinsically assess such methods by using a romanization model trained on Amharic data to bootstrap coverage of romanized Tigrinya in a language identification system. Manual evaluation by two L1 and one L2 Tigrinya speakers suggests our method extracts romanized Tigrinya text with acceptably high precision.
%R 10.63317/3fhfr77pugrj
%U https://aclanthology.org/2026.lrec-1.234/
%U https://doi.org/10.63317/3fhfr77pugrj
%P 2996-3012

Markdown (Informal)

[Mining Naturally Romanized Seed Corpora without Romanizations](https://aclanthology.org/2026.lrec-1.234/) (Benton et al., LREC 2026)

• Mining Naturally Romanized Seed Corpora without Romanizations (Benton et al., LREC 2026)

ACL

• Adrian Benton, Alexander Gutkin, Christo Kirov, and Brian Roark. 2026. Mining Naturally Romanized Seed Corpora without Romanizations. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 2996–3012, Palma de Mallorca, Spain. ELRA Language Resource Association.