Does Word-Level Quality Estimation Really Improve AI Translation Post-Editing?

"AI translation has become an integral part of translation workflows, with post-editing being a standard practice in the language industry.
In this context, quality estimation (QE) has been proposed and integrated into many computer-assisted translation (CAT) tools to direct post-editors’ attention to segments that need revision."

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Alibaba and Meta Face Off in Simultaneous AI Translation

"Two recent research papers — one from a team at Alibaba and Xiamen University, the other from Meta AI —- proposed different ways to improve simultaneous AI translation (SiMT): by adapting large language models (LLMs) for real-time use, and by extending translation systems with a lightweight streaming module.
The Alibaba and Xiamen University researchers introduced a method called EAST (Efficient and Adaptive Simultaneous Translation), which enables LLMs to handle streaming input.

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Android’s Instant Translation Just Got Smarter—Here’s What It Means for Users and Businesses

Google has enhanced Android’s instant translation with AI-driven improvements, on-device processing, and expanded offline support. With the latest update, users benefit from faster, more accurate translations across apps, including features like Circle to Search and integration with Google’s Android XR. These advancements improve cross-language communication, support Translation Management Systems, and redefine mobile translation technology for businesses and global users.

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SlatorCon Remote March 2025 Delivers Key Language Industry and AI Insights

Critical topics discussed at SlatorCon Remote March 2025, from the latest market data to field expert views on AI language technology.

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Improving Multilingual LLMs with AI Translation Insights

Multilingual evaluation of large language models is falling behind their rapid progress. New research from Alibaba, Google, and Cohere sheds light on critical gaps — and offers guidance from AI translation to bridge them.
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