Natural Language Processing


4 units

Course Description

This course introduces students to natural language processing and exposes them to the variety of methods available for reasoning about text in computational systems. NLP is deeply interdisciplinary, drawing on both linguistics and computer science, and helps drive much contemporary work in text analysis (as used in computational social science, the digital humanities, and computational journalism). We will focus on major algorithms used in NLP for various applications (part-of-speech tagging, parsing, coreference resolution, machine translation) and on the linguistic phenomena those algorithms attempt to model. Students will implement algorithms and create linguistically annotated data on which those algorithms depend.

(In Fall 2017 this course was offered for 3 units.)


Computer Science 61B; Computer Science 70, Math 55, Statistics 134 or Statistics 140; strong programming skills
Last updated: February 15, 2019