Statistical Learning II describes the properties of natural language, explains what natural language processing (NLP) is, and provides an overview of commonly used structured and unstructured representations of language.
Expect to learn:
- The foundations of rule-based and statistical methods of NLP.
- Ways to apply and explain NLP within your specific industry.
- An overview of commonly used structured and unstructured representations of language.
Time Commitment: Approximately 1 hour and 15 minutes
Dr. Ian Perera
Dr. Perera is a research scientist at IHMC working on applying linguistic and cognitive models and knowledge towards natural language understanding and the intersection of such understanding with computer vision and other data-grounded applications. He graduated magna cum laude with a B.S.E. in digital media design at the University of Pennsylvania and obtained his Ph.D. in computer science at the University of Rochester in 2016. Dr. Perera has been at IHMC since 2013.