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Custom.MTCustom Machine Translation
  • Home
    • For Localization Teams
    • For LSP
    • For Product Managers
    • For Translators
  • Services
    • Machine Translation Model Fine-Tuning
    • Machine Translation Evaluation
    • On-Premise Machine Translation
    • Translation Memory (TMX) Cleaning
    • Language dataset acquisition
    • Workshops – Train Your Team in Language AI
  • Products
    • AI Translation Platform
    • Custom Translation Portals
    • For Trados
    • For Smartling
    • For memoQ
    • Shopware Translation Plugin
    • API
    • Documentation
  • Resources
    • Blog
    • Case Studies
    • Events and Webinars
      • GenAI in Localization
    • MT Leaders
  • About Us
    • About Us
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    • Privacy Policy
  • Book a Call
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Tag: Datasets
Mix Machine Translation + GenAI
Konstantin Dranch April 8, 2024 Comments Disabled

Custom.MT Console has rolled out a key update: a way to combine the output of popular machine translation engines with generative AI. Localization specialists may now easily style MT output and “mix and blend colors” to get a more accurate and evocative machine translation that speaks with the audience. Machine translation engines are reliable but […]

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TAUS Massively Multilingual Conference 2022
Why TAUS Changed from a Think Tank to an MT Data Provider
Kate Vostokova November 29, 2022 Comments Disabled

Founded in 2005 as a think tank, TAUS has turned into a prominent marketplace for machine translation training datasets, and a data services provider. Gone are the days of hosting conferences, the TAUS team is now busy collecting text and speech data for the likes of Google and Microsoft in a crowded space alongside Appen, […]

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Interview with Arul Menezes, Microsoft Translator Founder
Konstantin Dranch February 14, 2022 Comments Disabled

Today’s race for leadership in machine translation (MT) is between IT Giants Google and Microsoft, a few small specialized companies like DeepL and ModernMT, and open-source projects. What does it take, and how does it feel — to expand the boundaries of science and business at the very top of the machine translation field?

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