Research and Exploration on Chinese Natural Language Processing in Era of Large Language Models

Natural language processing is a key step in realizing human-computer interaction, and Chinese natural language processing (CNLP) is an important part of it. With the development of big model technology, CNLP has entered a new stage, and these Chinese big models have stronger generalization ability and faster task adaptability. However, compared to English big models, Chinese big models are still deficient in logical reasoning and text comprehension ability. The advantages of graph neural networks in specific CNLP tasks are introduced, and a survey on the development potential of quantum machine learning in CNLP is conducted. The basic principles and technical architectures of big models are summarized, the typical datasets and model evaluation indexes for big model evaluation tasks are organized in detail, and the effects of current mainstream big models in CNLP tasks are evaluated and compared. The current challenges of CNLP are analyzed, and the future research direction of CNLP task is outlooked, which is hoped to help solve the current challenges of CNLP, and provide some references for the proposal of new methods. © 2025 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.