Natural language processing uses artificial intelligence to replicate human speech and text on computing devices.

It combines computational linguistics, which focuses on the rule-based modeling of human language, with machine learning and deep learning models to process and analyze large amounts of natural ...

Because of its complex neural network architecture, deep learning is a mature form of artificial intelligence that can handle higher-level computation tasks, such as natural language processing ...

Clinical-grade NLP leverages AI and deep learning to contextualize language in medical notes and accurately identify common medical terms.

Deep learning-based software is already being integrated into virtual worlds; some examples include autonomously driving chatbots and other forms of natural language processing to ensure seamless ...

Course Type: Elective Specialization: Natural Language Processing: Deep Learning Meets Linguistics Instructors: Dr. James Martin Prior knowledge needed: Students should consider their background in ...

Natural language processing is a field in machine learning where a computer processes human language through vast amounts of data to understand, translate, extract, and organize information.

Generative Pre-trained Transformers (GPTs) have revolutionized natural language processing by enabling machines to generate human-like text through deep learning and contextual understanding.

Natural language processing (NLP) and speech processing at RIT is a research-active area led by Dr. Cecilia Alm’s and Dr. Marcos Zampieri’s laboratories. The groups’ research projects, supported by ...

“Learning to see and learning to read are the two main things we need for the computer to do to gain knowledge,” said Jen Rexford, chair of Princeton’s computer science department and the Gordon Y.S.