Épisodes

  • Developing a Mature Machine Translation Strategy | David McNamee | Straker Translations

    Developing a Mature Machine Translation Strategy | David McNamee | Straker Translations
    Jul 14 2022
    Welcome to another edition of the Just Sayin' with Straker Translations Podcast.

    In this episode titled Developing a Mature Machine Translation Strategy,  our host Gianluca Savenije interviews Straker Lingotek Solutions Engineer, David McNamee.

    Learn about the future of machine translation, what companies should use machine translations for, the different types of machine translations, and more.

    Lingotek's cloud-based translation management solution easily connects your content with the technology and professionals to bring your message to life in new markets.

    Chapters:
    0:00 Introductions.
    4:42 Machine translation overview.
    8:28 Evolution of machine translation.
    11:09 What works in machine translation?
    18:52 How do we evaluate machine translation quality?
    23:36 How to keep up to date with machine translation.
    28:17 How is translation memory being used?
    35:40 The future of machine translation.

    About David McNamee
    David McNamee is a language technology specialist and Solutions Engineer for Straker Lingotek. A recovering software engineer, David has extensive experience across multiple industries in enterprise productivity and collaboration tools, and driving digital transformation initiatives.

    About Gianluca Savenije
    Gianluca is the Business Development Director - North America for Straker, combining his passion for languages and technology to find creative solutions for clients of all sizes. He grew up hopping in between the US and Europe and quickly became fluent in four languages.

    Having lived in 12 different cities across 7 different countries, Gianluca truly knows the importance of language. After University, Gianluca began his career in business language training before moving to Barcelona to work for Straker. At Straker, he has had several roles across the technology and client facing teams in Europe.

    Since 2010, Straker has been leading the way in blending human and machine intelligence to increase speed, reduce complexity and cost in translations.

    Learn more about how Straker can help you
    www.strakertranslations.com

    Like Straker on Facebook
    https://www.facebook.com/strakertrans...

    Follow Straker on Linkedin https://www.linkedin.com/company/stra...

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    40 min
  • Supercharge Localization With Data Assets I Mohan Reddy I Straker Translations

    Supercharge Localization With Data Assets I Mohan Reddy I Straker Translations
    Jun 9 2022
    In this "Just Sayin" Straker Podcast interview, Gianluca speaks with Mohan Reddy the Chief Technology Officer for SkyHive.

    SkyHive has been using localization data assets and cutting-edge technology to achieve international growth, whilst keeping costs down and increasing time to market.

    About Mohan Reddy:
    Mohan is the CTO of SkyHive and oversees all aspects of developing and delivering SkyHive’s technology capabilities and innovation. Mohan is a hands-on technologist in Machine Learning / Deep Learning systems, specialized in building scalable systems, robotics, and computational neuroscience.

    About Gianluca Savenije
    Gianluca is the Business Development Director - North America for Straker, combining his passion for languages and technology to find creative solutions for clients of all sizes. He grew up hopping in between the US and Europe and quickly became fluent in four languages.

    Since 2010, Straker has been leading the way in blending human and machine intelligence to increase speed, reduce complexity and cost in translations.

    Learn more about how Straker can help you
    www.StrakerTranslations.com

    Like Straker on Facebook
    https://www.facebook.com/strakertranslations

    Follow Straker on Linkedin https://www.linkedin.com/company/strakertranslations

    Follow Straker on Instagram
    https://www.instagram.com/strakertranslations
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    31 min