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Mastering Crowdin's AI Tools: $3 Investment That Saves Hours of Translation Time with Dorota Pawlak
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In this episode of The Agile Localization Podcast, host Stefan Huyghe is joined by Dorota Pawlak, an AI for localization consultant and trainer, for a comprehensive walkthrough of Crowdin's most powerful features for streamlining localization workflows.
What You’ll Learn
- How to leverage AI-powered pretranslation with custom prompts and fine-tuning to maintain consistent terminology
- The strategic use of continuous fine-tuning to automatically update AI models with new translation memory entries
- How to implement AI-powered proofreading for automated quality checks before human review
- Why custom placeholders are essential for managing dynamic style guides across multiple projects
- How to streamline subtitle translation with integrated video preview features
- The power of Figma integration for seamless design-to-translation workflows
- How to evaluate context sufficiency using AI-powered reports for better translation quality
- Why vector memory databases can enhance translation context and accuracy
Dorota Pawlak is an AI for Localization Consultant and Trainer based in Amsterdam, bringing over 15 years of experience in technical translation and multilingual computing. Her diverse background includes roles as a translator, localization tester, and university lecturer in website localization. Currently, she specializes in helping small and medium organizations optimize their localization processes through strategic AI implementation. Dorota has made significant contributions to the field through her online courses, including the "Mastering Translation AI" course developed in collaboration with Crowdin.
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If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and YouTube Podcasts, instructions on how to do this are here.
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