In-depth study of a particular area of computational linguistics, with hands-on experience. Prerequisite: LING 570 and 571, or permission of instructor. Offered: WSp.
This course examines the problems posed by different types of languages for natural language processing algorithms. Topics will include multilingual and cross-lingual language modeling, text-based language identification, word alignment, question answering, summarization and named-entity detection. We will look exclusively at statistical processing algorithms.
Student learning goals
General method of instruction
Lectures (1 meeting per week)
Ling 570 and 571, Ling 572 desirable basic statistics, programming (C/C++,Java, or Perl) or permission from instructor
Class assignments and grading
Homeworks (including programming assignments) Final project (incl. implementation, class presentation and final write-up)
Homeworks (including programming assignments) (40%) In-class participation (20%) final project (40%)