Thomas Leplus

Thomas Leplus

San Francisco Bay Area
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About

Director Of Engineering - Information Security

Activity

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Experience

  • Adenza Graphic

    Adenza

    San Francisco, California, United States

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    San Francisco Bay Area

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    San Francisco Bay Area

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    San Francisco Bay Area

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    Paris Area, France

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Education

  • Université de Montréal Graphic

    Université de Montréal

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    DIRO - Département d'Informatique et de Recherche Opérationnelle

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Volunteer Experience

  • Collection volunteer

    The AIDS Trust of Australia

    - 2 months

    Health

    I raised funds for HIV/AIDS organizations by collecting money in Sydney, Australia.

Publications

  • From the RealWorld to Real Words: the METEO case

    EAMT-05, Budapest

    Machine Translation (MT) is the focus of extensive scientific investigations driven by regular evaluation campaigns, but which are mostly oriented towards a somewhat artificial task: translating news articles into English. In this paper, we investigate how well current MT approaches deal with a real-world task. We have rationally reconstructed one of the only MT systems in daily production use: the METEO system. We show how a combination of a sentence-based memory approach, a phrase-based…

    Machine Translation (MT) is the focus of extensive scientific investigations driven by regular evaluation campaigns, but which are mostly oriented towards a somewhat artificial task: translating news articles into English. In this paper, we investigate how well current MT approaches deal with a real-world task. We have rationally reconstructed one of the only MT systems in daily production use: the METEO system. We show how a combination of a sentence-based memory approach, a phrase-based statistical engine and a neural-network rescorer can give results comparable to those of the current system while offering a faster development cycle and arguably better customization possibilities.

    Other authors
    See publication

  • The long-term forecast for weather bulletin translation

    Machine Translation

    Machine Translation (MT) is the focus of extensive scientific investigations driven by regular evaluation campaigns, but which are mostly oriented towards a somewhat particular task: translating news articles into English. In this paper, we investigate how well current MT approaches deal with a real-world task. We have rationally reconstructed one of the only MT systems in daily use which produces high-quality translation: the Météo system. We show how a combination of a sentence-based memory…

    Machine Translation (MT) is the focus of extensive scientific investigations driven by regular evaluation campaigns, but which are mostly oriented towards a somewhat particular task: translating news articles into English. In this paper, we investigate how well current MT approaches deal with a real-world task. We have rationally reconstructed one of the only MT systems in daily use which produces high-quality translation: the Météo system. We show how a combination of a sentence-based memory approach, a phrase-based statistical engine and a neural-network rescorer can give results comparable to those of the current system. We also explore another possible prospect for MT technology: the translation of weather alerts, which are currently being translated manually by translators at the Canadian Translation Bureau.

    Other authors
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  • Weather Report Translation using a Translation Memory.

    Association for Machine Translation in the Americas

    Weather Report Translation using a Translation Memory.
    Thomas Leplus, Philippe Langlais and Guy Lapalme.
    Association for Machine Translation in the Americas (AMTA-2004)
    Georgetown University, Washington DC (USA), September

    Other authors
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Languages

  • French

    Native or bilingual proficiency

  • English

    Full professional proficiency

  • Spanish

    Professional working proficiency

  • German

    Elementary proficiency

Organizations

  • OWASP

    Member

    - Present

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