Natural Language Processing

Catalog description

Natural language processing is a crucial field of artificial intelligence, with various cutting-edge real-world applications thanks to the advances of deep learning. This course presents an overview of the theories and practices of Natural Language Processing. It covers different concepts and techniques on how to build software that works with natural language. Topics include, syntax, semantics discourse; and language models. Students will also be introduced to various applications of natural language processing such as spell checking, question answering, conversational systems, and sentiment analysis. The main objective of this course is to learn and apply various algorithms and methods for building applications to process human language. This course will provide theoretical and practical knowledge for applications that learn, interpret, and/or generate natural language. Upon completion of the course, students will have a good understanding of and appreciation for natural language processing and be capable of planning and applying various techniques and computational tools to build natural language processing models. Prerequisites: COSC 2336 with a minimum of C or better.