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...
| Published in: | Journal of Advanced Research in Applied Sciences and Engineering Technology |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Semarak Ilmu Publishing
2024
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| 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 |