The Evolution and Development of Artificial Intelligence Interpretation Technology in the Era of Large-Scale Language Models

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Author(s): Gurwinder Kaur Dua (Post Graduate Government College - 11, Chandigarh, India)
Copyright: 2025
Pages: 30
Source title: Role of AI in Translation and Interpretation
Source Author(s)/Editor(s): Mohammed H. Al Aqad (University of Malaya, Malaysia)
DOI: 10.4018/979-8-3373-0060-3.ch002

Keywords: Artificial Intelligence / Computational Linguistics / Computer Science & IT / Engineering Science Reference

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Abstract

With the ongoing advancement of artificial intelligence technology, large-scale language models have emerged as a significant breakthrough in the realm of interpreting intelligence. This evolution presents the interpreting profession with unprecedented technological changes. A review of the relevant research indicates that the rise of large models has introduced both new opportunities and challenges for the development of AI-driven interpreting technology. Firstly, the language generation capabilities of these large models are highly advanced, enabling them to produce more accurate and natural interpretation and translation outcomes. Secondly, these models possess strong learning abilities, allowing them to continuously enhance the performance of interpretation systems through extensive data training. Additionally, their rapid response characteristics facilitate efficient interpretation services in real-time scenarios.

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The Evolution and Development of Artificial Intelligence Interpretation Technology in the Era of Large-Scale Language Models

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