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    <titleInfo>
        <title>!Translate: When You Cannot Cook Up a Translation, Explain</title>
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        <namePart type="given">Federico</namePart>
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    <name type="personal">
        <namePart type="given">Margherita</namePart>
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    <name type="personal">
        <namePart type="given">Maja</namePart>
        <namePart type="family">Milicević Petrović</namePart>
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    <name type="personal">
        <namePart type="given">Alberto</namePart>
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            <title>Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing</title>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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    <abstract>In the domain of cuisine, both dishes and ingredients tend to be heavily rooted in the local context they belong to. As a result, the associated terms are often realia tied to specific cultures and languages. This causes difficulties for non-speakers of the local language and ma- chine translation (MT) systems alike, as it implies a lack of the concept and/or of a plausible translation. MT typically opts for one of two alternatives: keeping the source language terms untranslated or relying on a hyperonym/near-synonym in the target language, provided one exists. !Translate proposes a better alternative: explaining. Given a cuisine entry such as a restaurant menu item, we identify culture-specific terms and enrich the output of the MT system with automatically retrieved definitions of the non-translatable terms in the target language, making the translation more actionable for the final user.</abstract>
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%0 Conference Proceedings
%T !Translate: When You Cannot Cook Up a Translation, Explain
%A Garcea, Federico
%A Martinelli, Margherita
%A Milicević Petrović, Maja
%A Barrón-Cedeño, Alberto
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F garcea-etal-2023-translate
%X In the domain of cuisine, both dishes and ingredients tend to be heavily rooted in the local context they belong to. As a result, the associated terms are often realia tied to specific cultures and languages. This causes difficulties for non-speakers of the local language and ma- chine translation (MT) systems alike, as it implies a lack of the concept and/or of a plausible translation. MT typically opts for one of two alternatives: keeping the source language terms untranslated or relying on a hyperonym/near-synonym in the target language, provided one exists. !Translate proposes a better alternative: explaining. Given a cuisine entry such as a restaurant menu item, we identify culture-specific terms and enrich the output of the MT system with automatically retrieved definitions of the non-translatable terms in the target language, making the translation more actionable for the final user.
%U https://aclanthology.org/2023.ranlp-1.44
%P 392-398

Markdown (Informal)

[!Translate: When You Cannot Cook Up a Translation, Explain](https://aclanthology.org/2023.ranlp-1.44) (Garcea et al., RANLP 2023)

• !Translate: When You Cannot Cook Up a Translation, Explain (Garcea et al., RANLP 2023)

ACL

• Federico Garcea, Margherita Martinelli, Maja Milicević Petrović, and Alberto Barrón-Cedeño. 2023. !Translate: When You Cannot Cook Up a Translation, Explain. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 392–398, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.