Polysemy as a Complexity Predictor in school textbooks-Reference-Cited by-同舟云学术

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Polysemy as a Complexity Predictor in school textbooks

Published:2023-12-18 Issue: Volume:11 Page:721-725
ISSN:
Container-title:2023 16th International Conference on Developments in eSystems Engineering (DeSE)
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Author:

Danilov Andrew V.¹,Nuretdinova Zilya²,Miftakhutdinov Zulfat³,Sharifullina Elvira³,Kydyrbayeva Nazym⁴,Soldatkina Tat’Yana⁵

Affiliation:

1. Kazan Federal University,The Dept. of Bilingual and Digital Education,Kazan,Russian Federation

2. Kazan Federal University Text Analytics Laboratory,Kazan,Russian Federation

3. Kazan Federal University,Kazan,Russian Federation

4. Al-Farabi Kazakh National University,Almaty,Kazakhstan

5. Kazan Federal University Mari State University,Yoshkar Ola,Russian Federation

Funder

Kazan Federal University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468572/10468673/10468765.pdf?arnumber=10468765

Reference34 articles.

1. Using Word Sense Disambiguation to Measure Semantic Complexity of Texts;Banerjee,2014

2. Exposure to print and word recognition processes

3. DRC: A dual route cascaded model of visual word recognition and reading aloud.

4. Lexical density as a complexity predictor: the case of Science and Social Studies textbooks

5. Determinants of text quality: The interaction of reading skill, age, and topic familiarity;Jansen;Scientific Studies of Reading,2007

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