【摘要】 文章探讨了基于人工神经网络的自然语言处理技术，首先，阐述了人工神经网络的定义、结构、工作原理，以及与深度学习的关系。其次，详细研究了基于人工神经网络的自然语言处理技术，包括神经网络模型、词嵌入技术、循环神经网络、长短期记忆网络、转换器模型与自注意力机制等，并分析了这些技术面临的挑战。最后，通过实验设计与结果分析验证了所提出方法的有效性。文章研究内容对于推动自然语言处理技术的发展和应用具有重要意义。更多还原

【Abstract】 This paper discusses the Natural Language Processing technology based on Artificial Neural Network.Firstly, the definition, structure, working principle of Artificial Neural Network and its relationship with deep learning are expounded. Then, the Natural Language Processing technology based on Artificial Neural Network is studied in detail, including neural network model, word embedding technology, Recurrent Neural Network, Long Short-Term Memory Network, converter model and selfattention mechanism, and the challenges faced by these technologies are analyzed. Finally, the effectiveness of the proposed method is verified by experimental design and result analysis. The research content of this paper is of great significance to promote the development and application of Natural Language Processing technology.更多还原