Rating Ease of Readability using Transformers-Reference-Cited by-同舟云学术

Rating Ease of Readability using Transformers

Published:2022-03-25 Issue: Volume: Page:
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Container-title:2022 14th International Conference on Computer and Automation Engineering (ICCAE)
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Author:

Alaparthi Varun Sai¹,Pawar Ajay Abhaysing²,Suneera C M¹,Prakash Jay¹

Affiliation:

1. National Institute of Technology Calicut,Department of Computer Science and Engineering,Calicut,India

2. National Institute of Technology Calicut,Department of Chemical Engineering,Calicut,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9762407/9762408/09762413.pdf?arnumber=9762413

Reference31 articles.

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3. READ–IT: Assessing readability of Italian texts with a view to text simplification;dell’orletta;Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies,2011

4. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin,2018

5. Assigning grade levels to textbooks: is it just readability?;dufty;Proceedings of the Annual Meeting of the Cognitive Science Society,2006

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