Development of AI-driven Language Translation Technology: From Technological Breakthroughs to Cultural Adaptation

Abstract

The use of artificial intelligence in linguistics is changing language learning, research, human communication, and translation in a big way. Through the promotion of numerous artificial intelligence language models such as ChatGPT, the natural language processing (NLP) models they employ have greatly assisted users in extracting the necessary information, promoting theoretical research and practical exploration in many fields. Meanwhile, by enhancing the accuracy of language and the ability to recognize multiple languages, the efficiency and accuracy of realtime translation and simultaneous interpretation have been effectively improved. Some article reports highly praise the advanced nature of artificial intelligence. However, the cultural differences and ethical considerations involved still require active communication and close cooperation among workers, scholars, linguists, computer scientists and relevant departments in this field. This study explores the impact of artificial intelligence on crosscultural language communication, language teaching research, and translation for different needs. It is precisely because the future interdisciplinary research and application fields of artificial intelligence and linguistics have broad prospects that issues such as rational use, risk reduction, efficiency optimization, and privacy protection need to be put on the agenda as early as possible.

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