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.
Can AI translation tools really replace human translators? Not quite, but they can still save you tons of time and effort. At Lokalise, we tested the top ten AI translation tools to find out which ones are worth your attention. Whether you need quick document translations, website localization, or real-time multilingual support, we’ve got you covered.
You run a clean, well-structured string file through AI translation. The output is linguistically correct, but completely wrong for the UI. This is the context deficit problem. Without structured input about what a string is and where it lives, models default to general-purpose language patterns. The output looks coherent on its own, but breaks when placed in the interface. Most dev teams try to fix this problem by switching models or adjusting prompts. The translation
When companies expand into new territories, style guides are one of the many tools that can make sure translated content is consistent, on-brand, and sensitive to local cultures and norms. It's used to define the tone, the formality, the grammar, and other stylistic preferences when targeting different audiences. Understanding what is AI translation can also play a key role in ensuring th
AI-powered tools all share one characteristic: They are powered by large language models (LLMs) like Open AI. Naturally, this has led to many of our customers questioning the security of their data in Lokalise AI. In a recent
Lokalise AI is a fully automated localization assistant that will change the way you think about translation.
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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