Linigu Blog
Professional articles on translation, CAT tools, and language technology
Bienvenido al Blog de Linigu
El Blog de Linigu es un espacio de conocimiento para traductores profesionales y expertos en localización. Aquí publicamos artículos sobre flujos de trabajo de traducción, herramientas CAT como SDL Trados Studio, formatos de archivos y gestión terminológica.
linigu.cloud fue creado para resolver problemas reales del sector de la traducción. En el blog explicamos cómo trabajar con archivos SDL y cómo utilizar el Linigu SDL Studio Converter para visualizar archivos complejos en Word o Excel de forma rápida y sencilla.
Nuestro objetivo es ayudarte a optimizar tu trabajo, mejorar la calidad lingüística y comprender mejor las tecnologías de traducción modernas.
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.