Composition marking method

Abstract

The invention belongs to the technical field of composition marking, and particularly relates to a privacy data query method based on a block chain account, which comprises the following steps: S1, after a student writes a composition, photographing composition paper; s2, inputting student information and long-term pictures; s3, identifying the handwritten composition picture to generate a to-be-read text; s4, simultaneously identifying whether characters of the composition picture have characters with appearing, altered and different colors; s5, judging whether the to-be-batched composition has a grammar error or not based on the grammar model; and S6, performing comparison based on the reviewing database, and searching similar sentences similar to the reference sentence in the database. According to the method, large-scale quantitative processing of handwritten texts can be realized, the workload of teachers can be reduced, the marking efficiency can be improved, after similar sentences are recommended to students, the students can be helped to learn how to grasp the written themes, question deviation can be avoided, plagiarism among the students can be avoided, corresponding targeted tutoring on the students can be realized according to the statistical table, and the teaching efficiency can be improved. And the composition level is improved.

Description

technical field [0001] The invention belongs to the technical field of composition review, and in particular relates to a composition review method. Background technique [0002] Among all kinds of examination scores, composition is often the most work-intensive and controversial item. The composition of students in primary and secondary schools is usually handwritten. In the past, it was difficult to identify and quantify it by means of artificial intelligence. , teachers usually can only pay attention to and memorize the composition quality of a few key students, which is not conducive to students' general attention and personalized recommendation. A method of reviewing handwritten essays is needed to realize large-scale quantitative processing of handwritten essays and reduce the workload of teachers. Improve the efficiency of reviewing, and conduct targeted reviewing of each student's composition. Contents of the invention [0003] In order to solve the problems raise...

AI Technical Summary

Problems solved by technology

[0002] Among all kinds of examination scores, composition is often the most work-intensive and controversial item. The composition of students in primary and secondary schools is usually handwritten. In the past, it was difficult to identify and quantify it by means of artificial intelligence. , teachers usually can only pay attention to and memorize the composition quality of a few key students, which is not conducive to students' general attention and personalized recommendation. A method of reviewing handwritten essays is needed to realize large-scale quantitative processing of handwritten essays and reduce the workload of teachers. Improve the efficiency of reviewing and conduct targeted reviewing of each student's composition

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