Text Readability and Simplification

Text Readability and Simplification is a research topic within Artificial Intelligence. Science Explorer counts 11k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

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.

• Text Simplification
• Readability Assessment
• Machine Learning
• Sentence Simplification
• Statistical Language Models
• Neural Networks
• Lexical Simplification
• Natural Language Processing
• Complex Word Identification
• Semantic Simplification