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    <titleInfo>
        <title>Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task</title>
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    <name type="personal">
        <namePart type="given">Simone</namePart>
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        <dateIssued>2023-07</dateIssued>
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        <titleInfo>
            <title>Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)</title>
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        <name type="personal">
            <namePart type="given">Elizabeth</namePart>
            <namePart type="family">Salesky</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Marcello</namePart>
            <namePart type="family">Federico</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <namePart type="given">Marine</namePart>
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    <abstract>This paper briefly describes Matesub, the subtitling tool Translated used to participate in the Subtitling shared task at IWSLT 2023. Matesub is a professional web-based tool that combines state-of-the-art AI with a WYSIWYG editor. The automatic generation of subtitles in Matesub is based on a cascade architecture, composed of ASR, text segmenter and MT neural models, which allows covering any pair from about 70 languages and their variants.</abstract>
    <identifier type="citekey">perone-2023-matesub</identifier>
    <identifier type="doi">10.18653/v1/2023.iwslt-1.45</identifier>
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%0 Conference Proceedings
%T Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task
%A Perone, Simone
%Y Salesky, Elizabeth
%Y Federico, Marcello
%Y Carpuat, Marine
%S Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada (in-person and online)
%F perone-2023-matesub
%X This paper briefly describes Matesub, the subtitling tool Translated used to participate in the Subtitling shared task at IWSLT 2023. Matesub is a professional web-based tool that combines state-of-the-art AI with a WYSIWYG editor. The automatic generation of subtitles in Matesub is based on a cascade architecture, composed of ASR, text segmenter and MT neural models, which allows covering any pair from about 70 languages and their variants.
%R 10.18653/v1/2023.iwslt-1.45
%U https://aclanthology.org/2023.iwslt-1.45
%U https://doi.org/10.18653/v1/2023.iwslt-1.45
%P 461-464

Markdown (Informal)

[Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task](https://aclanthology.org/2023.iwslt-1.45) (Perone, IWSLT 2023)

• Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task (Perone, IWSLT 2023)

ACL

• Simone Perone. 2023. Matesub: The Translated Subtitling Tool at the IWSLT2023 Subtitling Task. In Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), pages 461–464, Toronto, Canada (in-person and online). Association for Computational Linguistics.