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        <title>Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities</title>
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    <abstract>The wide accessibility of social media has provided linguistically under-represented communities with an extraordinary opportunity to create content in their native languages. This, however, comes with certain challenges in script normalization, particularly where the speakers of a language in a bilingual community rely on another script or orthography to write their native language. This paper addresses the problem of script normalization for several such languages that are mainly written in a Perso-Arabic script. Using synthetic data with various levels of noise and a transformer-based model, we demonstrate that the problem can be effectively remediated. We conduct a small-scale evaluation of real data as well. Our experiments indicate that script normalization is also beneficial to improve the performance of downstream tasks such as machine translation and language identification.</abstract>
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%0 Conference Proceedings
%T Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities
%A Ahmadi, Sina
%A Anastasopoulos, Antonios
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F ahmadi-anastasopoulos-2023-script
%X The wide accessibility of social media has provided linguistically under-represented communities with an extraordinary opportunity to create content in their native languages. This, however, comes with certain challenges in script normalization, particularly where the speakers of a language in a bilingual community rely on another script or orthography to write their native language. This paper addresses the problem of script normalization for several such languages that are mainly written in a Perso-Arabic script. Using synthetic data with various levels of noise and a transformer-based model, we demonstrate that the problem can be effectively remediated. We conduct a small-scale evaluation of real data as well. Our experiments indicate that script normalization is also beneficial to improve the performance of downstream tasks such as machine translation and language identification.
%R 10.18653/v1/2023.acl-long.809
%U https://aclanthology.org/2023.acl-long.809
%U https://doi.org/10.18653/v1/2023.acl-long.809
%P 14466-14487

Markdown (Informal)

[Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities](https://aclanthology.org/2023.acl-long.809) (Ahmadi & Anastasopoulos, ACL 2023)

• Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities (Ahmadi & Anastasopoulos, ACL 2023)

ACL

• Sina Ahmadi and Antonios Anastasopoulos. 2023. Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14466–14487, Toronto, Canada. Association for Computational Linguistics.