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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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Day: December 23, 2020
TMX Editor Comparison
Konstantin Dranch December 23, 2020 Comments Disabled

Infographic Translation memories are usually database-type files that contain previously translated texts. They also include the texts’ formatting and other properties. Some of the properties are defined by default (e.g., source and target language, date, time, the user ID or CAT tool that performed the translation, etc.), while others the user can add as custom […]

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English to Russian Medical Machine Translation Improves by 31% with Training
Konstantin Dranch December 23, 2020 Comments Disabled

In this case study, our client is a medium-sized translation company in Moscow that specializes in the medical field. They are a regional leader in medical documentation, with tons of clinical studies, pharma labels, and Covid-19 announcements. The agency has experimented with a stock Yandex engine and contracted Custom.MT to see how far the improvement […]

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French to English Finance Machine Translation Beats Human
Konstantin Dranch December 23, 2020 Comments Disabled

Case study In this case study, we look at a machine translation engine training project with a French LSP. We trained a set of MT engines and evaluated the performance both automatically and with a human eye with the client’s pool of linguists. Language combination: French to English  Domain: Financial documentation Training dataset: 607k parallel […]

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