Methods and systems for intelligent question recognition and correction

Abstract

The invention discloses methods and systems for intelligent question recognition and correction. Through artificial intelligence, stems and answer contents of various types of questions in a test paper can be automatically recognized and the answer contents are corrected automatically. In the technical scheme, a neural network model (such as a CNN model) is trained to be a model for question typerecognition based on a large number of test paper samples in advance; the model which is formed through training is used to detect the position of each question in the paper, the type corresponding tothe question and different components (the stem, the answer and a picture) in the question; the printed character information of the stem and the written character information of an answer part are then recognized based on the recognition model; and finally, based on recognized character information, automatic correction is carried out.

Description

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AI Technical Summary

Problems solved by technology

[0003] In the existing automatic marking system, most of the marking is completed by computer, which is mainly for marking objective questions (such as multiple choice questions). The processing method is to read the data on the chart card and compare it with the standard answer Yes, although this method effectively improves the review speed, it requires students to use 2B pencils to answer objective questions when answering, which is not only inconvenient, but also prone to mistakes, omissions, etc.

In addition, the printed test paper

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