Design and Implementation of Automatic Examination Scoring System Based on Natural Language Processing
- DOI
- 10.2991/978-94-6463-034-3_107How to use a DOI?
- Keywords
- natural language processing; automatic scoring system; similarity analysis; Python Web
- Abstract
Based on natural language processing and the development method of Python Web in the Flask framework, this paper completes the design and implementation of the automatic examination scoring system. The key algorithms such as lexical analysis, syntactic dependency analysis, and knowledge extraction under the system natural language processing technology are cited to complete the similarity analysis of keywords and sentences in Chinese text content, so as to realize the automatic scoring function of subjective answers in online examination content. Under this system, teachers can greatly simplify the work flow of manual marking with the help of “scoring standard setting” and “automatic scoring” functions, avoid the influence of human errors and uncertain factors in the process of manual marking. Practically improve the completion quality and comprehensive management level of education and teaching tasks. At the same time, the system also makes a new attempt for the rapid development of online education and teaching and the reform of teaching methods.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenyan Yang PY - 2022 DA - 2022/12/23 TI - Design and Implementation of Automatic Examination Scoring System Based on Natural Language Processing BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 1048 EP - 1058 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_107 DO - 10.2991/978-94-6463-034-3_107 ID - Yang2022 ER -