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Introduction
Shrajan Shetty edited this page Sep 18, 2025
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Text simplification is a Natural Language Processing (NLP) task that rewrites complex sentences into simpler ones, making them easier to read and understand.
- Enhances education by making reading easier for children and second-language learners
- Helps accessibility for people with reading difficulties (e.g., dyslexia)
- Improves machine learning pipelines, as simpler text boosts downstream NLP performance
This project uses a BERT-GPT2 Seq2Seq architecture:
- BERT (Encoder): Understands input context deeply
- GPT-2 (Decoder): Generates fluent simplified sentences