关键词: 人工智能, 英语术语, 自动识别, 翻译, 优化措施

Abstract:

With the rapid development of artificial intelligence technology,traditional English terminology recognition and translation methods face many challenges,such as low processing efficiency,frequent terminology ambiguity,and poor contextual adaptability.In the context of the widespread application of natural language processing and deep learning models,automatic recognitionand translation optimization of English terminology have ushered in new opportunities for technological innovation.By introducing pre trained language models such as BERT,GPT,etc.,the accuracy,domain adaptation,and translation consistency of term recognition can be significantly improved.This article systematically reviews the current application path of artificial intelligence in terminology recognition and translation,summarizes its main advantages and typical scenarios,analyzes key technical bottlenecks,and proposes multidimensional improvement strategies from algorithm optimization,data fusion to human-machine collaboration,aiming to provide theoretical support and practical paths for the intelligentization of professional language services.

Key words: artificial intelligence, English terminology, automatic recognition, translation, optimization measures