|Instructor:||Dr. Eun-Joo Lee|
|Email Address:||elee [at] po-box.esu.edu|
|Office Location:||SciTech 327|
This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Word-level, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered. The focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, disambiguation, and parsing. Also, it examines and constructs representative systems.
Graduate students and advanced undergraduates specializing in computer science, linguistics, or symbolic systems.
The required text is:
Other useful reference texts for NLP are:
Other papers with relevant material will be posted on the syllabus, as will lecture slides.