Deep integration of computer artificial intelligence and natural language processing
Wang sen
Zhengzhou University of Economics and Trade
DOI: https://doi.org/10.59429/esta.v11i4.8477
Keywords: Computer; Artificial intelligence; Natural language
Abstract
The development and technological evolution of artificial intelligence (AI) have laid a crucial foundation for natural language processing (NLP) technology. Through innovations in deep learning and largescale pre-trained models, the language understanding and generation capabilities of AI have significantly improved. This paper analyzes in detail the core NLP technologies, such as speech recognition, word embeddings, semantic analysis, and the applications of generative models. By integrating deep learning with NLP, models have demonstrated exceptional performance in tasks like speech recognition and text generation, further promoting the application of multimodal learning in NLP. Multimodal learning, by combining text, images, and audio, enhances the system’s understanding and generalization capabilities.
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