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        <title>Challenges in Neural Language Identification: NRC at VarDial 2020</title>
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    <name type="personal">
        <namePart type="given">Gabriel</namePart>
        <namePart type="family">Bernier-Colborne</namePart>
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            <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">Nikola</namePart>
            <namePart type="family">Ljubešić</namePart>
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            <namePart type="given">Yves</namePart>
            <namePart type="family">Scherrer</namePart>
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    <abstract>We describe the systems developed by the National Research Council Canada for the Uralic language identification shared task at the 2020 VarDial evaluation campaign. Although our official results were well below the baseline, we show in this paper that this was not due to the neural approach to language identification in general, but to a flaw in the function we used to sample data for training and evaluation purposes. Preliminary experiments conducted after the evaluation period suggest that our neural approach to language identification can achieve state-of-the-art results on this task, although further experimentation is required.</abstract>
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%0 Conference Proceedings
%T Challenges in Neural Language Identification: NRC at VarDial 2020
%A Bernier-Colborne, Gabriel
%A Goutte, Cyril
%Y Zampieri, Marcos
%Y Nakov, Preslav
%Y Ljubešić, Nikola
%Y Tiedemann, Jörg
%Y Scherrer, Yves
%S Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects
%D 2020
%8 December
%I International Committee on Computational Linguistics (ICCL)
%C Barcelona, Spain (Online)
%F bernier-colborne-goutte-2020-challenges
%X We describe the systems developed by the National Research Council Canada for the Uralic language identification shared task at the 2020 VarDial evaluation campaign. Although our official results were well below the baseline, we show in this paper that this was not due to the neural approach to language identification in general, but to a flaw in the function we used to sample data for training and evaluation purposes. Preliminary experiments conducted after the evaluation period suggest that our neural approach to language identification can achieve state-of-the-art results on this task, although further experimentation is required.
%U https://aclanthology.org/2020.vardial-1.26
%P 273-282

Markdown (Informal)

[Challenges in Neural Language Identification: NRC at VarDial 2020](https://aclanthology.org/2020.vardial-1.26) (Bernier-Colborne & Goutte, VarDial 2020)

• Challenges in Neural Language Identification: NRC at VarDial 2020 (Bernier-Colborne & Goutte, VarDial 2020)

ACL

• Gabriel Bernier-Colborne and Cyril Goutte. 2020. Challenges in Neural Language Identification: NRC at VarDial 2020. In Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, pages 273–282, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).