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  • Home
  • Services
    • Machine Translation Model Fine-Tuning
    • Translation Memory Cleaning (TMX)
    • Machine Translation Evaluation
    • On-Premise Machine Translation
    • Language dataset acquisition
    • Workshops – Train Your Team in Language AI
  • Products
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    • Custom Translation Portals
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    • For memoQ
    • Shopware Translation Plugin
    • API
    • MT Pricing
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  • Resources
    • Blog
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    • Events and Webinars
      • GenAI in Localization conference, December 2025
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    • MT Leaders
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Author: Ekaterina Barannikova
Localization Strategic Planning Hands-on workshop with Tamara Tirjak
Strategic Planning for Localization Leaders
Ekaterina Barannikova February 6, 2026 Comments Disabled

Access the Workshop Materials: Watch the full recording and download the strategic planning playbook to begin mapping your own journey. Most of us now use GenAI and MT as standard tools, but having the right tech is only half the battle. Without a plan, localization leaders often feel like toddlers on a long car ride, […]

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Building & Monetizing Your AI Translation Offering Custom.MT webinar
Building & Monetizing Your AI Translation Offering
Ekaterina Barannikova January 21, 2026 Comments Disabled

Watch the full webinar on YouTube to see how AI translation offerings are built and monetized in practice. Building & Monetizing Your AI Translation Offering is a practical webinar for localization leaders who want to turn AI from a buzzword into a real business advantage. Hosted by Custom.MT with guests from Conversis and Piedmont Global, […]

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MTQE Leaderboard Custom.MT 2025 featured image
AI QE Works — But Still Needs a Human Brain: What Custom.MT QE Benchmark Reveals
Ekaterina Barannikova December 18, 2025 Comments Disabled

Independent MTQE Benchmark Findings Across 17 Language Pairs DOWNLOADS | VIDEO PRESENTATION: Presentation, Calculate your QE threshold Watch the full benchmark presentation on YouTube As companies move large volumes of content through machine translation, the next strategic question becomes unavoidable: Can you let AI (not humans) decide which sentences are good enough to publish? This […]

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Hugging Face GenAI datasets for machine translation
Top 100 Open Datasets to Train AI Translation Models
Ekaterina Barannikova September 9, 2025 Comments Disabled

A Guide for Localization Managers, AI Engineers, and Researchers Machine translation (MT) is transforming how we communicate across languages, and at the heart of this revolution are high-quality machine translation datasets. Whether you’re working with computer-assisted translation (CAT) tools, building custom MT models, or managing multilingual content, the right dataset can streamline your work, improve […]

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Helena Moniz, General Chair of MT Summit 2025, President of IAMT, President of EAMT, Chair of the Ethics Committee at the Center for Responsible AI.
Inside MT Summit 2025: Helena Moniz on the Future of Machine Translation, Ethics, and Emerging Trends
Ekaterina Barannikova August 12, 2025 Comments Disabled

MT Summit 2025 marked a clear shift towards discussing deployments, inclusive design, and ‘communication’ instead of ‘translation’. We’ve already highlighted some of the most impactful papers presented this year in a curated list. But today, we’re going deeper with someone who shaped the summit from the inside out. Helena Moniz was General Chair of MT […]

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Group photo of MT Summit 2025 participants, featuring researchers and professionals from around the world gathered in a conference hall.
MT Summit 2025: Curated List of Impactful Papers
Ekaterina Barannikova July 16, 2025 Comments Disabled

The 20th Machine Translation Summit held in Geneva featured 76 presentations, including 37 poster sessions that shape the future of machine translation as a field. We present a curated list of impactful papers based on the User track proceedings. Key Trends from MT Summit 2025 Key topics this year included: Top 10 Innovations from MT […]

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