To find repeated passages in a novel, natural language processing could be used to identify repeated passages by analyzing the structure and grammar of the text. The specific steps were as follows: 1. Collect the text data of the novel, including the original text and the text summary. 2. Segmenting and tagging the text for grammar analysis. 3. Use a repetitive neural network or other natural language processing technique to model the sequence of the text and calculate the number of times each word appears in the sequence. 4 Use this counting information to determine repeated passages. In particular, each count information can be regarded as an independent feature, and feature extraction and classification can be performed using a Consecutive Neutral Network or other feature extraction techniques. 5 Keep only the sections with the same count in the search results. 6. Arrange the search results to better find duplicate passages. 7. You can filter the search results according to your needs and only keep the passages with specific counting information, for example, only keep the passages that appear the most. It should be noted that this method requires a certain amount of computing resources and time and may require some pre-processing of the text for better NMP analysis.