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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
    • MT Leaders
  • About Us
    • About Us
    • Terms and Conditions
    • Privacy Policy
  • Book a Call
  • Sign in
Custom.MT
  • 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
    • MT Leaders
  • About Us
    • About Us
    • Terms and Conditions
    • Privacy Policy
  • Book a Call
  • Sign in

Search

Mudar Yaghi

CEO of AppTek, a pioneer company in Machine Translation, Automatic Speech Recognition, Machine Learning, and Natural Language Processing. He supervised the development of speech and translation systems for some governments. In addition, big commercial customers such as ebay and Zoom used AppTek’s language packages of machine translation and live automatic transcriptions in their platforms.

Konstantin Dranch
Konstantin Dranch
Language Industry Researcher | Founder Custom.MT learn something new every week, create transparency in specialized markets

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