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, […]
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, […]
The GenAI in Localization Conference, hosted by Custom.MT in December 2025, explored how new technology is transforming translation and multilingual workflows. Far from replacing translators, these tools have made localization specialists more important than ever. This article summarizes the main topics from the conference, and full Day 1 recordings are available online for anyone who […]
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 […]
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 […]
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 […]
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 […]
Part 1 of the evaluation with scores Full-sized infographic Сommunity’s evaluation of Deepseek’s translation accuracy is complete. Conclusion: Deepseek is a top-notch translation powerhouse racing nose-to-nose with the market leaders. The differences were small, and the ratings depended more on personal preferences of evaluators towards computer-generated translation, rather than model performance. And it will get […]
On January 28 we called for language industry peers to evaluate the new large language model Deepseek for translation tasks. More than 30 volunteers came forward, and the first results have already come in. We’re hoping to have at least 10-15 language combinations evaluated within the scope of this expercise. We will publish information as […]
Custom.MT has developed a translation plugin for Shopware 6, a Germany-based eCommerce platform. The plugin connects online stores with machine translation and GenAI workflows in our Console. Expanding European shops for cross-border trade is complex, and this application provides support for nuanced and high-quality automated translation for various product categories. A medium-sized online store has […]
AI prompt engineering for localization is the process of designing structured prompts that help large language models produce accurate translations, terminology-consistent output, and reliable localization quality assessments. In 2024, one year into the GPT boom, language teams strive to implement generative AI better and more effectively. Prompts are becoming increasingly elaborate, with engineers and project […]
Summary: This article details tactics to detect and label translation errors with GPT-4 AI model and to build bots for language quality assurance. In the example of error labeling above, Rembrandt’s name is misspelled. That’s a Fluency error – not something critical impeding our understanding, but looking sloppy on a marketing piece that refers to […]