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        <title>Average Is Not Enough: Caveats of Multilingual Evaluation</title>
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    <name type="personal">
        <namePart type="given">Matúš</namePart>
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            <namePart type="given">Hila</namePart>
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            <namePart type="given">Jamshidbek</namePart>
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    <abstract>This position paper discusses the problem of multilingual evaluation. Using simple statistics, such as average language performance, might inject linguistic biases in favor of dominant language families into evaluation methodology. We argue that a qualitative analysis informed by comparative linguistics is needed for multilingual results to detect this kind of bias. We show in our case study that results in published works can indeed be linguistically biased and we demonstrate that visualization based on URIEL typological database can detect it.</abstract>
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    <identifier type="doi">10.18653/v1/2022.mrl-1.13</identifier>
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%0 Conference Proceedings
%T Average Is Not Enough: Caveats of Multilingual Evaluation
%A Pikuliak, Matúš
%A Simko, Marian
%Y Ataman, Duygu
%Y Gonen, Hila
%Y Ruder, Sebastian
%Y Firat, Orhan
%Y Gül Sahin, Gözde
%Y Mirzakhalov, Jamshidbek
%S Proceedings of the 2nd Workshop on Multi-lingual Representation Learning (MRL)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F pikuliak-simko-2022-average
%X This position paper discusses the problem of multilingual evaluation. Using simple statistics, such as average language performance, might inject linguistic biases in favor of dominant language families into evaluation methodology. We argue that a qualitative analysis informed by comparative linguistics is needed for multilingual results to detect this kind of bias. We show in our case study that results in published works can indeed be linguistically biased and we demonstrate that visualization based on URIEL typological database can detect it.
%R 10.18653/v1/2022.mrl-1.13
%U https://aclanthology.org/2022.mrl-1.13
%U https://doi.org/10.18653/v1/2022.mrl-1.13
%P 125-133

Markdown (Informal)

[Average Is Not Enough: Caveats of Multilingual Evaluation](https://aclanthology.org/2022.mrl-1.13) (Pikuliak & Simko, MRL 2022)

• Average Is Not Enough: Caveats of Multilingual Evaluation (Pikuliak & Simko, MRL 2022)

ACL

• Matúš Pikuliak and Marian Simko. 2022. Average Is Not Enough: Caveats of Multilingual Evaluation. In Proceedings of the 2nd Workshop on Multi-lingual Representation Learning (MRL), pages 125–133, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.