Readability Assessment of Textbooks in Low Resource Languages

• 作者: Antai Wang Wei Song Xiaobin Zhao Zhijuan Wang
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 政治法律
• 关键词: READABILITY ASSESSMENT LOW resource language TEXTBOOK in TIBETAN linear regression named ENTITY
• 年，卷（期）: 2019,（7）
• 页码范围: 213-225
• 页数: 13页
• 分类号: D67

摘要

Readability is a fundamental problem in textbooks assessment.For low resources languages(LRL),however,little investigation has been done on the readability of textbook.In this paper,we proposed a readability assessment method for Tibetan textbook(a low resource language).We extract features based on the information that are gotten by Tibetan segmentation and named entity recognition.Then,we calculate the correlation of different features using Pearson Correlation Coefficient and select some feature sets to design the readability formula.Fit detection,F test and T test are applied on these selected features to generate a new readability assessment formula.Experiment shows that this new formula is capable of assessing the readability of Tibetan textbooks.