2018 5th NAFOSTED Conference on Information and Computer Science (NICS) 2018
DOI: 10.1109/nics.2018.8606848
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Assessing the Readability of Literary Texts in Vietnamese Textbooks

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Cited by 5 publications
(19 citation statements)
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“…Although the method has proven its efficiency for not requiring any experts, the number of collected texts is limited, and the copyright must also be taken into consideration. This method has been implemented in various works, including but not limited to Sun et al [10], Dell'Orletta et al [6], Chen & Daowadung [7], Lee & Hasebe [22], Berendes et al [23], Luong et al [10,12], Diep et al [13] etc.…”
Section: Criteria For Building the Corpusmentioning
confidence: 99%
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“…Although the method has proven its efficiency for not requiring any experts, the number of collected texts is limited, and the copyright must also be taken into consideration. This method has been implemented in various works, including but not limited to Sun et al [10], Dell'Orletta et al [6], Chen & Daowadung [7], Lee & Hasebe [22], Berendes et al [23], Luong et al [10,12], Diep et al [13] etc.…”
Section: Criteria For Building the Corpusmentioning
confidence: 99%
“…We also conducted an experiment on assessing the readability of the texts of the built corpus using the method of Luong et al [12]: classify texts using the features of Number of sentences, Number of characters, Average word length calculated in syllables, Percentage of difficult words, Percentage of difficult syllables, Percentage of Sino-Vietnamese words and Percentage of unique Sino-Vietnamese words. The method used is also SVM and K-folds cross validation (we chose K=5).…”
Section: Reliability Testingmentioning
confidence: 99%
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“…Some of the notable studies on this approach are Dell'Orletta, et al [20], De Clercq, et al [21], and Berendes, et al [22], etc. In Vietnamese, studies based on this approach have only been carried out in recent years like those of Luong, et al [12], Luong, et al [13]. Table I presents a summary of some influential studies on text readability from both approaches in recent years along with information about the dataset and features examined for a range of languages, including Vietnamese.…”
Section: Related Workmentioning
confidence: 99%
“…Then, in 2017, when examining the features of text in linguistic textbooks, Luong, et al [12] showed that the text length significantly influences the classification of these grammatical texts by readability level. In another study in 2018, Luong, et al [13] further argued that Sino-Vietnamese elements and dialect features also plays a critical role in evaluating the readability of texts in Vietnamese textbooks.…”
Section: Introductionmentioning
confidence: 99%