Language Prediction

Language prediction research aims to develop computational models that accurately anticipate the next word or sequence of words in a text, mirroring human language comprehension. Current efforts focus on improving models' ability to handle temporal context (understanding how language changes over time), incorporating diverse linguistic features like code-switching, and aligning model predictions with the hierarchical and long-range predictions observed in human brain activity. These advancements are crucial for enhancing machine translation, speech recognition, and other natural language processing applications, while also providing valuable insights into the neural mechanisms underlying human language processing.