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Found 10 papers, 1 papers with code
Improving Human Text Simplification with Sentence Fusion
The quality of fully automated text simplification systems is not good enough for use in real-world settings; instead, human simplifications are used.
Flesch-Kincaid is Not a Text Simplification Evaluation Metric
Sentence-level text simplification is currently evaluated using both automated metrics and human evaluation.
Complex Word Identification in Vietnamese: Towards Vietnamese Text Simplification
Text Simplification has been an extensively researched problem in English, but has not been investigated in Vietnamese.
Effects of Added Emphasis and Pause in Audio Delivery of Health Information
In this study, we evaluate the effect of audio enhancements in the form of information emphasis and pauses with health texts of varying difficulty and we measure health information comprehension and retention.
Text and Audio Simplification: Human vs. ChatGPT
We scored twelve corpora using our metrics: six text, one audio, and five ChatGPT simplified corpora.
AutoMeTS: The Autocomplete for Medical Text Simplification
In this paper, we examine the application of autocomplete to text simplification in the medical domain.
