Text Readability and Simplification

This cluster of papers focuses on automatic text simplification and readability assessment using machine learning, statistical language models, neural networks, and natural language processing techniques. The research covers areas such as sentence simplification, lexical simplification, complex word identification, and semantic simplification to improve the accessibility and comprehension of written text.

How has Text Readability and Simplification's publication output changed over time?

Output grew0% over the shown period — from 1 works in 1996 to 1 in 2021.

What are the most-cited papers on Text Readability and Simplification?

Where is Text Readability and Simplification research published, and who funds it?

How much of the research on Text Readability and Simplification is open access?