Natural Language Processing

We rely on machines to understand human language and anticipate our instructions. Research in natural language processing seeks to build computers and autonomous systems that can understand and use human knowledge, primarily language and text. The goal of this research is to build intelligent systems that learn and communicate through language. Work in this area pushes the boundaries of artificial intelligence while also enabling advances in practical text processing applications that can have a broad impact on various real-world problems.

At Princeton, researchers develop novel algorithms, design new frameworks, and investigate theoretical foundations to tackle challenging problems in language understanding. Researchers draw on techniques like deep neural networks and reinforcement learning.

Associated Faculty

• Sanjeev Arora
• Suma Bhat
• Danqi Chen
• Adji Bousso Dieng
• Peter Henderson
• Karthik Narasimhan

Associated Graduate Students

• Adithya Bhaskar
• Howard Chen
• Ameet Deshpande
• Tianyu Gao
• Luxi He
• Vishvak Saivenkat Murahari
• Alexander Wettig
• Mengzhou Xia
• Zexuan Zhong