Translated Launches ModernMT Version 7, An Update to its adaptive machine translation (MT) system

The new version of ModernMT improves translation quality by up to 42% with the help of Trust Attention, a technique developed by Translated. It links the origin of data to its impact on translation accurateness.

Using Trust Attention, companies can prioritize gaining information from trusted sources, thus improving translation quality by up to 42%.

The innovation is helping companies to move away from using traditional MT systems that hampered to distinguish between trustworthy data and lower quality during the training process.

ModernMT system prioritize learning from high-quality, qualified data in support of generative AI. Translated took the human brain for inspiration in developing this new technique. ModernMT V7 identifies the most valuable training data and prioritizes its learning.

Read More: Translated Debuts Trust Attention for Unprecedented Quality in MT, Paving the Way for Accuracy in Generative AI

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