Readability assessment of textbooks in low resource languages

Document Type

Article

Publication Date

1-1-2019

Abstract

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.

Identifier

85075265663 (Scopus)

Publication Title

Computers Materials and Continua

External Full Text Location

https://doi.org/10.32604/cmc.2019.05690

e-ISSN

15462226

ISSN

15462218

First Page

213

Last Page

225

Issue

1

Volume

61

Grant

61331013

Fund Ref

National Natural Science Foundation of China

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