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'Poorly monitored AI translations have filled many small-language Wikipedias with errors, creating a recursive loop that weakens language resources and harms revitalization efforts.'
TransEvalnia leverages prompting-based reasoning with large language models to provide detailed, human-aligned translation evaluations, outperforming traditional metrics on multiple language pairs.
Alibaba introduces Qwen3-MT, a next-generation multilingual machine translation model featuring cutting-edge architecture and reinforcement learning for high-quality, cost-efficient translations across 92+ languages.
Unbabel introduces TOWER+, a unified multilingual large language model that excels in both high-fidelity translation and instruction-following, surpassing existing open-weight models in benchmarks.
AI is changing translation by enabling a collaborative approach where human expertise and machine efficiency combine to produce culturally relevant and accurate multilingual content.