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    <titleInfo>
        <title>Multilingual Identification of English Code-Switching</title>
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    <name type="personal">
        <namePart type="given">Igor</namePart>
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            <title>Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)</title>
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            <namePart type="given">Yves</namePart>
            <namePart type="family">Scherrer</namePart>
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            <namePart type="given">Tommi</namePart>
            <namePart type="family">Jauhiainen</namePart>
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        <name type="personal">
            <namePart type="given">Nikola</namePart>
            <namePart type="family">Ljubešić</namePart>
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        <name type="personal">
            <namePart type="given">Marcos</namePart>
            <namePart type="family">Zampieri</namePart>
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        <name type="personal">
            <namePart type="given">Preslav</namePart>
            <namePart type="family">Nakov</namePart>
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        <name type="personal">
            <namePart type="given">Jörg</namePart>
            <namePart type="family">Tiedemann</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>Code-switching research depends on fine-grained language identification. In this work, we study existing corpora used to train token-level language identification systems. We aggregate these corpora with a consistent labelling scheme and train a system to identify English code-switching in multilingual text. We show that the system identifies code-switching in unseen language pairs with absolute measure 2.3-4.6% better than language-pair-specific SoTA. We also analyse the correlation between typological similarity of the languages and difficulty in recognizing code-switching.</abstract>
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    <identifier type="doi">10.18653/v1/2024.vardial-1.14</identifier>
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        <url>https://aclanthology.org/2024.vardial-1.14</url>
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        <date>2024-06</date>
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            <start>163</start>
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%0 Conference Proceedings
%T Multilingual Identification of English Code-Switching
%A Sterner, Igor
%Y Scherrer, Yves
%Y Jauhiainen, Tommi
%Y Ljubešić, Nikola
%Y Zampieri, Marcos
%Y Nakov, Preslav
%Y Tiedemann, Jörg
%S Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F sterner-2024-multilingual
%X Code-switching research depends on fine-grained language identification. In this work, we study existing corpora used to train token-level language identification systems. We aggregate these corpora with a consistent labelling scheme and train a system to identify English code-switching in multilingual text. We show that the system identifies code-switching in unseen language pairs with absolute measure 2.3-4.6% better than language-pair-specific SoTA. We also analyse the correlation between typological similarity of the languages and difficulty in recognizing code-switching.
%R 10.18653/v1/2024.vardial-1.14
%U https://aclanthology.org/2024.vardial-1.14
%U https://doi.org/10.18653/v1/2024.vardial-1.14
%P 163-173

Markdown (Informal)

[Multilingual Identification of English Code-Switching](https://aclanthology.org/2024.vardial-1.14) (Sterner, VarDial-WS 2024)

• Multilingual Identification of English Code-Switching (Sterner, VarDial-WS 2024)

ACL

• Igor Sterner. 2024. Multilingual Identification of English Code-Switching. In Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024), pages 163–173, Mexico City, Mexico. Association for Computational Linguistics.