Linigu Blog
Professional articles on translation, CAT tools, and language technology
Welcome to the Linigu Blog
Welcome to the Linigu Blog, a professional knowledge hub created for translators, localization specialists, and language technology enthusiasts. Here, we share practical insights into translation workflows, CAT tools such as SDL Trados Studio, file formats, terminology management, and modern language technology.
Linigu.cloud was built to solve real problems faced by translators. Our articles focus on practical solutions—explaining complex translation files, common technical issues, and how to work more efficiently using tools like the Linigu SDL Studio Converter, which allows you to view SDL Trados files instantly as Word or Excel documents.
Whether you are an experienced translator or just starting your journey in professional translation, this blog is designed to help you improve quality, save time, and better understand the tools you use every day.
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.