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        <title>Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text</title>
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            <namePart type="family">Belz</namePart>
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        <name type="personal">
            <namePart type="given">Angela</namePart>
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    <abstract>In this shared task, we seek the participating teams to investigate the factors influencing the quality of the code-mixed text generation systems. We synthetically generate code-mixed Hinglish sentences using two distinct approaches and employ human annotators to rate the generation quality. We propose two subtasks, quality rating prediction and annotators’ disagreement prediction of the synthetic Hinglish dataset. The proposed subtasks will put forward the reasoning and explanation of the factors influencing the quality and human perception of the code-mixed text.</abstract>
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    <identifier type="doi">10.18653/v1/2021.inlg-1.34</identifier>
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%0 Conference Proceedings
%T Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
%A Srivastava, Vivek
%A Singh, Mayank
%Y Belz, Anya
%Y Fan, Angela
%Y Reiter, Ehud
%Y Sripada, Yaji
%S Proceedings of the 14th International Conference on Natural Language Generation
%D 2021
%8 August
%I Association for Computational Linguistics
%C Aberdeen, Scotland, UK
%F srivastava-singh-2021-quality
%X In this shared task, we seek the participating teams to investigate the factors influencing the quality of the code-mixed text generation systems. We synthetically generate code-mixed Hinglish sentences using two distinct approaches and employ human annotators to rate the generation quality. We propose two subtasks, quality rating prediction and annotators’ disagreement prediction of the synthetic Hinglish dataset. The proposed subtasks will put forward the reasoning and explanation of the factors influencing the quality and human perception of the code-mixed text.
%R 10.18653/v1/2021.inlg-1.34
%U https://aclanthology.org/2021.inlg-1.34/
%U https://doi.org/10.18653/v1/2021.inlg-1.34
%P 314-319

Markdown (Informal)

[Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text](https://aclanthology.org/2021.inlg-1.34/) (Srivastava & Singh, INLG 2021)

• Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text (Srivastava & Singh, INLG 2021)

ACL

• Vivek Srivastava and Mayank Singh. 2021. Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. In Proceedings of the 14th International Conference on Natural Language Generation, pages 314–319, Aberdeen, Scotland, UK. Association for Computational Linguistics.