基于深度学习的文本自动纠错系统设计与实现

Design and Implementation of Official Document Automatic Error Correction System

为解决办公人员在进行文档写作时存在各种文本格式和内容错误的问题,设计基于深度学习的文本自动纠错系统,用于辅助办公人员的写作和校对工作;分析办公人员的文本纠错需求,并进行文本格式与内容纠错方法研究;设计系统由写作模板生成、文本格式纠错和文本内容纠错三个功能组成;首先,设计文本要素识别与检查算法并基于VBA技术实现文本格式校对;然后基于Seq2Seq深度学习模型训练字词、语法和标点符号查错模型完成公文内容纠错,并根据办公人员工作需求建立纠错辅助字库提升系统纠错准确率;最终,通过系统测试实验结果表明,设计系统能够极大地提升办公人员写作效率并减轻文本校对工作负担。

In order to solve the problem of various text format and content errors in document writing by office staff,an automatic text error correction system based on deep learning was designed to assist office staff in writing and proofreading;The paper analyzed the text error correction requirements of office workers,and researched on text format and content error correction methods;The design system consisted of three functions of writing template generation,text format correction and text content correction;Firstly,the algorithm of text element recognition and check was designed,and the text format proofreading based on VBA technology was realized;Then,based on the Seq2Seq deep learning model,the error detection model of words,grammar and punctuation was trained to complete the error correction of official document content,and the error correction auxiliary word bank was established according to the work needs of office staff to promote the system error correction rate;Finally,the system test results showed that the design system can effectively improve the writing level of the office staff and greatly ease the burden of text proofreading.