Natural Language Processing

Undergraduate

Introduction to the computational modelling of natural language, including techniques and algorithms, formalisms, and applications. Fundamental topics covered include computational morphology, semantics, syntactic parsing, language modelling, summarization, machine translation, coreference resolution, and contemporary machine learning techniques. Course Format: Lectures, seminar, 3 hours per week. Prerequisite(s): MATH 1P67 (minimum 60 percent), STAT 1P98, COSC 3P71 Course Notes: This course may be offered in multiple mods of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.