Fall 2002, UNCG, Dr. Green
Most readings in calendar from these books:
Prerequisites: CSC 330.
Topic: A survey of approaches to natural language understanding and generation by computer systems.
Teaching/learning Methods and Grading: Students will be given assigned readings and short homework assignments (problems and short Prolog programs) to help understand the readings. The student will propose a project related to natural language processing including a major programming assignment, a short written report, and an informal demo. In addition, graduate student projects must include a survey of related work. After the instructor approves the project proposal, the student may be assigned additional relevant readings. The student and instructor will meet on average one hour per week for discussion. The student's grade will be based upon participation and the project.
Student Learning Outcomes: By the end of the course, students should be able to describe the subfields of natural language processing and their relationship to linguistics and computer science; students should be able to employ and understand notational systems used to represent syntactic, semantic, and/or discourse levels of natural language input/output; and students should demonstrate, through their projects, more in-depth of understanding of methods in natural language processing applied to a specific problem. In addition, graduate students should be able to locate, evaluate, and communicate information presented in the related technical literature.
Resources