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2020 | OriginalPaper | Chapter

Automatic Classification and Comparison of Words by Difficulty

Authors : Shengyao Zhang, Qi Jia, Libin Shen, Yinggong Zhao

Published in: Neural Information Processing

Publisher: Springer International Publishing

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Abstract

Vocabulary knowledge is essential for both native and foreign language learning. Classifying words by difficulty helps students develop better in different stages of study and gives teachers the standard to adhere to when preparing tutorials. However, classifying word difficulty is time-consuming and labor-intensive. In this paper, we propose to classify and compare the word difficulty by analyzing multi-faceted features, including intra-word, syntactic and semantic features. The results show that our method is robust against different language environments.

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Title: Automatic Classification and Comparison of Words by Difficulty
Authors: Shengyao Zhang
Qi Jia
Libin Shen
Yinggong Zhao
Publisher: Springer International Publishing
Book: Neural Information Processing
Print ISBN: 978-3-030-63819-1

Electronic ISBN: 978-3-030-63820-7

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-63820-7_72

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