BERT

A natural language processing model developed by Google that uses bidirectional training to understand context from both directions in a sentence. BERT and its variants like SBERT (Sentence-BERT) are increasingly used in accessibility applications for tasks such as automatic text summarization, topic segmentation, and generating alternative text or navigation aids for screen reader users. The model represents a significant advancement in how machines understand human language, enabling more sophisticated assistive technologies.