Sanqiang/text_simplification
Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.
This project helps simplify complex sentences into easier-to-understand versions. You provide a sentence or paragraph with advanced vocabulary or complex structures, and it outputs a clearer, more concise text. It's useful for educators preparing materials, content creators aiming for broad accessibility, or anyone needing to make written information more digestible.
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Use this if you need to transform dense, academic, or technical text into language that a wider audience can easily comprehend.
Not ideal if you need to summarize long documents or generate completely new content, as its primary function is sentence-level simplification.
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68
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Language
Python
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Last pushed
Oct 31, 2022
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Sanqiang/text_simplification"
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