Automatic correction of subjective sentence similarity questions based on text image recognition

Key Points

• The central aim is to enhance the accuracy of subjective sentence similarity assessments through automation.
• Analyzed various algorithms for automatic correction of sentence similarity.
• Implemented text image recognition techniques to process question formats.
• Evaluated effectiveness against traditional assessment methods.
• Demonstrated improved accuracy in sentence similarity evaluation.
• Reduced time taken for assessment corrections significantly.
• Highlighted potential for broader application in educational technologies.

Abstract