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            <title>Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching</title>
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    <abstract>Code-switching is an omnipresent phenomenon in multilingual communities all around the world but remains a challenge for NLP systems due to the lack of proper data and processing techniques. Hindi-English code-switched text on social media is often transliterated to the Roman script which prevents from utilizing monolingual resources available in the native Devanagari script. In this paper, we propose a method to normalize and back-transliterate code-switched Hindi-English text. In addition, we present a grapheme-to-phoneme (G2P) conversion technique for romanized Hindi data. We also release a dataset of script-corrected Hindi-English code-switched sentences labeled for the named entity recognition and part-of-speech tagging tasks to facilitate further research.</abstract>
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%0 Conference Proceedings
%T Normalization and Back-Transliteration for Code-Switched Data
%A Parikh, Dwija
%A Solorio, Thamar
%Y Solorio, Thamar
%Y Chen, Shuguang
%Y Black, Alan W.
%Y Diab, Mona
%Y Sitaram, Sunayana
%Y Soto, Victor
%Y Yilmaz, Emre
%Y Srinivasan, Anirudh
%S Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F parikh-solorio-2021-normalization
%X Code-switching is an omnipresent phenomenon in multilingual communities all around the world but remains a challenge for NLP systems due to the lack of proper data and processing techniques. Hindi-English code-switched text on social media is often transliterated to the Roman script which prevents from utilizing monolingual resources available in the native Devanagari script. In this paper, we propose a method to normalize and back-transliterate code-switched Hindi-English text. In addition, we present a grapheme-to-phoneme (G2P) conversion technique for romanized Hindi data. We also release a dataset of script-corrected Hindi-English code-switched sentences labeled for the named entity recognition and part-of-speech tagging tasks to facilitate further research.
%R 10.18653/v1/2021.calcs-1.15
%U https://aclanthology.org/2021.calcs-1.15
%U https://doi.org/10.18653/v1/2021.calcs-1.15
%P 119-124

Markdown (Informal)

[Normalization and Back-Transliteration for Code-Switched Data](https://aclanthology.org/2021.calcs-1.15) (Parikh & Solorio, CALCS 2021)

• Normalization and Back-Transliteration for Code-Switched Data (Parikh & Solorio, CALCS 2021)

ACL

• Dwija Parikh and Thamar Solorio. 2021. Normalization and Back-Transliteration for Code-Switched Data. In Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, pages 119–124, Online. Association for Computational Linguistics.