Readability Metric

Readability metrics quantify how easily a text can be understood, aiming to objectively assess text complexity for diverse audiences and applications. Current research focuses on developing and improving these metrics, often leveraging large language models (LLMs) like BERT and GPT, and exploring their correlation with human judgment across various domains, including education, legal documents, and medical texts. This work is crucial for improving accessibility of information, enhancing educational materials, and evaluating the effectiveness of text simplification and generation techniques.