对于文本传抄中出现传抄错误的问题本文根据其问题特点选择了较为合适的两个模型来解决。其中问题一选择了N-gram模型原因是其可以提高文本处理和自然语言处理的效率和准确性并且能够较好贴合地该问题场景。问题二则选择了基于二叉树数据结构的文本传抄模型虽然其时间复杂度较高但由于其较高的准确性所以本文选择它来对问题二进行求解并且本文对题目中四类常见问题的特征进行量化处理以改进模型。问题三则对前两问的算法模型进

For the problem of transmission errors in text copying, this paper selects two suitable models based on the characteristics of the problem. N-gram model is chosen for problem one because it can improve the efficiency and accuracy of text processing and natural language processing, and can better fit the problem scenario. For problem two, a text transmission model based on binary tree data structure is selected, which has high accuracy although its time complexity is high. This paper quantifies the features of the four common problems in the problem description to improve the model.

For problem one, the N-gram model is used to compare Chinese texts, and the Markov assumption is used to solve the problem of large parameter space. The Python re module and collections module are used to compare two Chinese texts, demonstrating that the N-gram model can accurately identify differences. This model has the advantages of capturing language rules and word order relationships, simple calculation, and fast speed, but it has weak ability to consider semantic relationships and process rare words and professional terms.

For problem two, the text transmission model is used to compare Chinese texts. By calculating the LCA and LCP of two nodes and the nodes on the path between them, the transmission times of the text are estimated. This model can calculate the transmission times between any two nodes on any binary tree, with a time complexity of O(n). The algorithm is improved based on four common errors, and the improved algorithm can better identify errors of "讹", "脱", and "衍" categories, but is relatively poor in identifying errors of "倒" category. Tested on 20 articles with a total of 80 errors manually modified by humans, the number of misjudgments of the algorithm is stable at 0-4, with an accuracy rate of 95% to 100%.

For problem three, this paper revises the models in problem one and two to make them more suitable for solving real-world problems. The principles, solving processes, application scenarios, advantages and disadvantages of the two models are analyzed in detail, and corresponding revised codes, running speed estimates, and actual examples are provided. It is believed that the models constructed in this paper can have high reference and practical value for corresponding problems in real life.