WMT 2025 Research | Advancing Low-Resource Language Translation
Автор: RBG-AI
Загружено: 2026-02-02
Просмотров: 43
Описание:
As part of the WMT 2025 Shared Task, RBG.AI explores how multilingual AI can expand translation support for languages often overlooked in the digital ecosystem.
This research examines zero-shot translation capabilities, the impact of linguistic relationships on cross-lingual transfer, and the practical challenges of deploying models in resource-constrained environments — moving beyond benchmarks toward real-world impact.
By bridging gaps for underrepresented languages, RBG.AI continues to push the boundaries of responsible and inclusive AI innovation.
🔗 Learn more at www.rbg.ai
#AIResearch #WMT2025 #MultilingualAI #MachineTranslation #LowResourceLanguages #ResponsibleAI #RBGai
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: