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        <title>Brand Consistency for Multilingual E-commerce Machine Translation</title>
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            <title>Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track</title>
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            <namePart type="given">Masaru</namePart>
            <namePart type="family">Yamada</namePart>
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    <abstract>In the realm of e-commerce, it is crucial to ensure consistent localization of brand terms in product information translations. With the ever-evolving e-commerce landscape, new brands and their localized versions are consistently emerging. However, these diverse brand forms and aliases present a significant challenge in machine translation (MT). This study investigates MT brand consistency problem in multilingual e-commerce and proposes practical and sustainable solutions to maintain brand consistency in various scenarios within the e-commerce industry. Through experimentation and analysis of an English-Arabic MT system, we demonstrate the effectiveness of our proposed solutions.</abstract>
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%0 Conference Proceedings
%T Brand Consistency for Multilingual E-commerce Machine Translation
%A Zhang, Bryan
%A Walter, Stephan
%A Birari, Saurabh Chetan
%A Eren, Ozlem
%Y Yamada, Masaru
%Y do Carmo, Felix
%S Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
%D 2023
%8 September
%I Asia-Pacific Association for Machine Translation
%C Macau SAR, China
%F zhang-etal-2023-brand
%X In the realm of e-commerce, it is crucial to ensure consistent localization of brand terms in product information translations. With the ever-evolving e-commerce landscape, new brands and their localized versions are consistently emerging. However, these diverse brand forms and aliases present a significant challenge in machine translation (MT). This study investigates MT brand consistency problem in multilingual e-commerce and proposes practical and sustainable solutions to maintain brand consistency in various scenarios within the e-commerce industry. Through experimentation and analysis of an English-Arabic MT system, we demonstrate the effectiveness of our proposed solutions.
%U https://aclanthology.org/2023.mtsummit-users.17
%P 173-182

Markdown (Informal)

[Brand Consistency for Multilingual E-commerce Machine Translation](https://aclanthology.org/2023.mtsummit-users.17) (Zhang et al., MTSummit 2023)

• Brand Consistency for Multilingual E-commerce Machine Translation (Zhang et al., MTSummit 2023)

ACL

• Bryan Zhang, Stephan Walter, Saurabh Chetan Birari, and Ozlem Eren. 2023. Brand Consistency for Multilingual E-commerce Machine Translation. In Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track, pages 173–182, Macau SAR, China. Asia-Pacific Association for Machine Translation.