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Published on: April 1, 2016
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Measurement method research of Chinese texts' difficulty based on two-characters continuations
Dongjie Zhou1, Tianqing Zheng2
1School of Humanities, Fujian University of Technology, Fuzhou, Fujian, China.
Plos One
|September 4, 2024
Summary
This study introduces two-characters continuation to measure Chinese text difficulty. A method using new and stable two-characters continuations proved most effective for assessing text complexity.
Area of Science:
- Computational Linguistics
- Natural Language Processing
- Text Analysis
Background:
- Traditional methods for measuring text difficulty often focus on static language units like words and phrases.
- These methods may not fully capture the dynamic interplay and information within sequential language structures.
- Two-characters continuation offers a novel approach to analyze linguistic information beyond isolated units.
Purpose of the Study:
- To propose and evaluate new methods for measuring Chinese text difficulty.
- To leverage the concept of two-characters continuation for more accurate text complexity assessment.
- To compare the effectiveness of different two-characters continuation-based metrics.
Main Methods:
- Developed three measurement methods for text difficulty based on two-characters continuation: 'continuation index of character', 'new and stable two-characters continuation', and 'emerging tendency of two-characters continuation'.
- Evaluated the accuracy of these methods across different difficulty levels (6, 3, and 2 levels).
- Compared the performance of the proposed methods against existing research, specifically Jiang and Wu's work.
Main Results:
- The measurement method based on 'new and stable two-characters continuation' demonstrated superior effectiveness compared to the other two proposed methods.
- This method achieved accuracies of 36.4% for 6 levels, 64.6% for 3 levels, and 79.6% for 2 levels of text difficulty.
- The proposed approach also outperformed previous research by Jiang and Wu in measuring text difficulty.
Conclusions:
- New and stable two-characters continuation is a highly effective metric for assessing Chinese text difficulty.
- This approach enhances the accuracy of text difficulty measurement by considering sequential character combinations.
- The findings suggest a significant improvement over existing methods for computational analysis of text complexity.
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