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.
DeepL and Google Translate are probably the first tools that spring to mind when you think of translation technology, but the landscape is a lot more diverse than machine translation tools.
We’ve all used machine translation tools, like Google Translate and DeepL, and know that they don’t always hit the mark. The translations can be amusing if you’re translating for yourself, but they could make for a poor customer experience in a business context. This is where understanding what is AI translation becomes important—it offers more advanced, context-aware solutions that go beyond basic word-for-
Have you ever wondered how apps like Google Translate work so fast? That’s the power of automatic translations. These translation tools are powered by technology that turns text from one language into another in seconds. The main benefit of automatic translations reflects in speed and convenience. Whether you’re traveling, chatting with someone who speaks another language, or looking to quickly translate your website, it’s instant and easy. Plus, the tools are either f
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.
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