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LLM Translation enters the mainstream: EU and Google say it's good enough without humans

Two recent signals from the world’s most influential players—the European Union and Google—have redefined how we think about LLM-based translation (or AI translation). Both the EU and Google now accept that AI-powered translation is fluent, usable,...

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The AI consolidation is coming: Gartner's latest reports validate the shift from LLM-Building to agentic workflows

Gartner's enterprise AI research confirms what we've been saying about the future of AI business models:  multilingual agentic workflows are where the real opportunity lies.

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How LLMs can help translate religious texts for churches

Conventional translation methods often face challenges when dealing with the nuances, cultural significance, and specialized terminology of religious texts. However, Large Language Models (LLMs) are emerging as powerful tools that could...

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AI Won’t Replace You—But This Will: The Professionals Who Adapt

The rise of artificial intelligence has sparked a familiar refrain across industries: “Will AI take my job?”

While the question reflects genuine anxiety, it misses a critical nuance. The future of work isn’t a binary battle between humans and...

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What makes AI Translation different from typical Machine Translation

Two technologies are often discussed within the "translation industry" or "localization community": AI translation and Machine Translation. While they may seem similar to the undiscerning eye, they are fundamentally different in their approaches...

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 What is Linguistic Quality Assurance (LQA)?

Ensuring accurate translations goes beyond just clarity; it is essential for protecting your brand, avoiding costly mistakes, and staying out of legal trouble. A poor translation can confuse your audience or even harm your reputation. This is why ...

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Machine Translation Quality Estimation: A Comprehensive Analysis

The demand for fast, accurate, and reliable translation services has never been higher. As organizations expand globally, the volume of content requiring translation has grown exponentially, making traditional human-only translation workflows...

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Translation for Artificial Intelligence (AI training data)

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries and the world as we understand it. They automate tasks, enhance efficiency, and drive innovation.

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The Future of AI-Enabled Translation Services

For several decades, the volume of translation being processed by machines (with rule-based, neural machine translation and now with AI Translation) has been greater than that of humans. Some estimates (TAUS, Nimdzi, CSA) place machine-generated...

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AI on Government Transcription: How Pangeanic is Redefining the Landscape with Innovation and Expertise

Transcription services, particularly in the government sphere, are recording remarkable metamorphoses with each passing day and development of artificial intelligence. As it were, modern-day governance is now an affair of transparency, efficiency,...

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