Linigu Blog
Professional articles on translation, CAT tools, and language technology
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Linigu 博客是为专业译员、本地化专家和语言技术从业者打造的知识平台。我们分享关于 SDL Trados Studio 等 CAT 工具、文件格式、术语管理以及现代翻译流程的实用文章。
linigu.cloud 致力于解决译员在实际工作中遇到的问题。博客内容介绍如何分析复杂的 SDL 文件，以及如何使用 Linigu SDL Studio Converter 将其快速转换为 Word 或 Excel 格式。
我们的目标是帮助译员提高工作效率、提升翻译质量，并更好地理解翻译技术。
Will AI Make Translators Unemployed? The Truth About Translation Jobs in 2026
As AI translation technology advances rapidly, professional translators worldwide are asking: will artificial intelligence render human translation obsolete? This comprehensive analysis explores the real impact of AI on translation careers, examining current job market trends, why human expertise remains irreplaceable, and practical strategies for translators to thrive in an AI-driven era. Discover how specialization, tools like SDL Studio Converter, and strategic adaptation can secure your tran
The Role of AI Translation in Modern Language Learning
AI translation is not just for productivity. Discover how AI translation supports language learning and comprehension in real-world contexts.
What Is AI Localization and How Does It Work?
AI localization is transforming how software and digital products reach global audiences. This guide explains what AI localization is and how Lingiu.Cloud makes it simple.
AI Translation and Machine Translation are often used interchangeably, but they are not the same. This article explains their differences, strengths, and limitations.
Not every Translation Memory is suitable for AI training. This article explains how to clean, structure, and prepare TM data for effective AI and MT models.
Data annotation is the unseen work behind modern AI systems. This article explains what data annotation is, why it matters, and how it shapes future projects.
Prompt engineering has emerged as a critical skill in the age of artificial intelligence, and at its core lies a fundamental truth: the language you use to communicate with AI systems directly determines the quality, relevance, and accuracy of the outputs you receive. Understanding how to craft effective prompts is not just about knowing what to ask, but about understanding how language shapes machine understanding.
Artificial intelligence speaks multiple languages simultaneously—from the binary code that runs on processors to the natural human language it uses to interact with us. Understanding the various linguistic layers of AI reveals not just how these systems work, but how they're bridging the gap between human communication and machine computation in increasingly sophisticated ways.