This category explores the technological frontier of language. We dive deep into how to integrate the latest LLMs (GPT, Claude) into your workflow, and the critical need for AI quality assurance and governance. Content is designed for Localization Managers and Engineers who need to leverage AI for scale while maintaining high quality, consistency, and data security. Learn to manage translation memory (TM) alongside AI output to maximize speed and cost savings.
Discover the key differences between machine translation (MT) and generative AI translation, and which one is right for you. The first attempt at machine translation was in 1954, when an IBM 701 computer or “electronic brain” automatically translated 60 sentences from Russian into English, proving that machine translation was possible. Despite the time-consumin
Last month, we launched Lokalise AI and early results from our beta customers show that Lokalise AI represents a big step towards the “AI + Human” future of localization. Today we’re doubling down on that future and announcing that we’ve built an AI-powered translation review bot. It’s called AI LQA, and we believe it’ll become a valuable partner to your localization team. When we started building AI L
Workflow automation is all about using software to handle repetitive tasks for you, so you can focus on the work that truly matters. In the context of localization management, think of it as your behind-the-scenes assistant that ensures everything runs smoothly and helps your employees make the most of their workday. For example, your team might be juggling multiple projects, updat
Behind the scenes of localization with one of Europe’s leading digital health providers
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Localization workflow for your web and mobile apps, games and digital content.
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