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Showing posts with the label languagetechnology

How Welocalize and Duke University Benchmark AI Translation with Post-Editing

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Artificial Intelligence (AI) is rapidly transforming the translation industry, but one question remains: How accurate are AI-driven translations compared to human expertise? To explore this, Welocalize partnered with Duke University to benchmark AI translation performance using post-editing practices . Their findings are not just valuable for linguists and localization experts but also for organizations planning to adopt AI in their workflows. Let’s dive deeper into what this benchmark study revealed and why it matters. Understanding AI Translation in Today’s World AI translation tools like machine translation (MT) engines have grown smarter with the help of large language models (LLMs) . They promise: Faster translations Cost savings Wider accessibility But speed and automation raise an important question: Are these translations reliable enough for industries like healthcare, finance, or academia, where accuracy is critical? That’s exactly what Welocalize and Duke ...

OpenAI Launches GPT-5: What You Need to Know About the Game-Changing AI

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Introduction to GPT-5 and Its Unveiling OpenAI has officially released GPT-5 , the most advanced iteration of its language model family. Available to all 700 million weekly ChatGPT users , this model brings major improvements in intelligence, speed, and reliability. Key Enhancements in OpenAI’s GPT-5 Elevated Reasoning and Intelligence GPT-5 delivers noticeably sharper performance across various benchmarks. It now handles complex tasks with better accuracy, reduces hallucinations, and produces more consistent results. Dynamic Routing Model A smart router system automatically decides when the model should think deeply or respond quickly, eliminating the need for users to choose model types manually. What’s New for Developers and Users Model Variants for Flexibility GPT-5 comes in multiple versions—standard, mini, and nano—tailored to different speed, cost, and resource needs. It also supports advanced parameters like verbosity and reasoning effort . Superior Coding and Tool U...

Translation as a Feature: How the TaaF Report Redefines Enterprise Localization

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What Is Translation as a Feature? Translation as a Feature (TaaF) means that translation capabilities are built directly into the tools and platforms you already use—such as content management systems, customer support portals, or collaboration apps. Instead of exporting content to translate separately, users can translate instantly within the same environment. Key Advantages Saves time by reducing manual steps. Lowers costs by streamlining workflows. Makes multilingual content creation scalable. Why TaaF Matters for Modern Enterprises In a global market, businesses often juggle multiple languages across marketing, documentation, and customer service. With TaaF: Teams can deliver content in multiple languages without slowing down projects. Users across departments can access translation tools without needing specialist knowledge. Organizations can respond faster to international opportunities. What Businesses Can Learn from TaaF The growing adoption of built-in translat...

SlatorCon Remote March 2025 Offers Essential Insights on the Language Industry and AI

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  A Pinch, a Twitch , and Everything in Between: Pinch’s Christian Safka and Twitch’s Susan Maria Howard were among the top language industry leaders who joined hundreds of attendees on March 18, 2025, for the first SlatorCon Remote conference of the year. Kicking off the day’s events, Slator’s Head of Advisory , Esther Bond, welcomed attendees and invited Managing Director Florian Faes to share the latest findings and insights in his highly anticipated 'industry health check. In his presentation, Faes began by reflecting on the challenges of 2024. He discussed data from Slator’s 2025 Language Service Provider Index (LSPI) and highlighted the growth of interpreting-focused companies, contrasted with the struggles faced by small, undifferentiated agencies and the rapid rise of language AI, driven by companies like ElevenLabs and DeepL . Faes also highlighted key findings from Slator’s 2025 Localization Buyer Survey , including the challenges buyers face in implementing AI and the ...