AI-Powered Translation Quality Estimation
Overview: Linearis aims to transform the translation and localisation industry by using AI and LLMs to assess and improve machine translation quality—reducing reliance on costly and time-consuming human post-editing.
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Problem Statement
Despite major advances in machine translation, it’s still hard to tell which parts are accurate and which need editing—leading to wasted time, higher costs, and inefficiencies.
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Goals & Objectives • Build an AI-driven tool that estimates translation quality using the MQM framework. • Reduce post-editing by flagging only segments that need human attention. • Streamline workflows for Language Service Providers (LSPs) by integrating smart, automated quality checks. • Evolve toward autonomous editing, aiming for human-level translation quality with minimal intervention.
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** Expected Outcomes** • Faster turnaround & lower costs for LSPs. • Higher translation accuracy through smarter quality detection. • Industry disruption, setting a new standard for how translation quality is measured and improved.
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** What We Need**
We’re assembling a team of developers, solution architects, and prompt engineers ready to redefine the future of localisation with AI.
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