Abstract
Text readability is a measure of how easy/difficult a text is to read. Studies on readability have been noticed for a long time in English and other popular languages. In Vietnamese, studies on the text readability are still quite limited, mainly because of the lack of corpora with capacity large enough to carry out the examination. In this paper, we present a method for assessing the readability of Vietnamese texts that does not need too much cost to develop a training corpus, based on comparing the correlation difficulty between texts but still achieving positive results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bailin, A., Grafstein, A.: Readability: Text and Context. Palgrave Macmillan, UK (2016)
Chen, X., Meurers, D.: Word frequency and readability: Predicting the text-level readability with a lexical-level attribute. J. Res. Reading (2018)
Jiang, Z., et al.: Enriching word embeddings with domain knowledge for readability assessment. In: Proceedings of the 27th International Conference on Computational Linguistics, Santa Fe, New Mexico, USA (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Luong, AV., Tran, P. (2019). Assessing the Readability of Vietnamese Texts Through Comparison (Extended Abstract). In: Tagarelli, A., Tong, H. (eds) Computational Data and Social Networks. CSoNet 2019. Lecture Notes in Computer Science(), vol 11917. Springer, Cham. https://doi.org/10.1007/978-3-030-34980-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-34980-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34979-0
Online ISBN: 978-3-030-34980-6
eBook Packages: Computer ScienceComputer Science (R0)