Evolution of AI in Interpretation

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 94

Published: April 25, 2025

Traditional methodologies have become real-time solutions thanks to AI in interpretation, improving cross-language communication. approaches like consecutive and simultaneous interpretation relied on human skill, which was effective but slow inaccurate. Neural machine translation (NMT) deep learning made context-aware, scalable, efficient language processing possible. interpreters now capture complex language, idioms, cultural subtleties, enhancing quality. Managing sensitivity algorithmic bias requires a hybrid approach that blends control. This integration preserves communication while using AI's speed efficiency. As evolves, its role will be crucial global understanding.

Language: Английский

GeoMinLM: A large language model in geology and mineral survey in Yunnan Province

Ore Geology Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106638 - 106638

Published: April 1, 2025

Language: Английский