A Hybrid Personalized Text Simplification Framework Leveraging the Deep Learning-based Transformer Model for Dyslexic Students

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A Hybrid Personalized Text Simplification Framework Leveraging the Deep Learning-based Transformer Model for Dyslexic Students

This study proposes a hybrid personalized text simplification framework leveraging the deep learning-based Transformer model to generate simplified expository texts by addressing all sentence perspectives: semantic, syntactic, and lexical. This study targets dyslexic students due to its increasing p...

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Bibliographic Details
Published in:	Journal of Advanced Research in Applied Sciences and Engineering Technology
Main Author:	2-s2.0-85178234362
Format:	Article
Language:	English
Published:	Semarak Ilmu Publishing 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178234362&doi=10.37934%2faraset.34.1.299313&partnerID=40&md5=55dd7279427e58723fe6d43e271567d6

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