6.863J / 9.611J Natural Language Processing, Spring, 2004



 IMPORTANT CLASS MESSAGES of the Week: Please fill out the course questionnaire here



Course Description


Policies: due dates, assignments, cooperative work

Prerequisites and Textbooks

Assignments

Grading

The material covered in this course is selected in such a way that at its completion you should be able to understand current papers in the field of Natural Language Processing (NLP).   No background in NLP is necessary.  All lectures will be published on this page in powerpoint (ppt), Adobe pdf (pdf) and postscript (ps) form; the latter two are more useful for downloading and printing. If you do not have Adobe Acrobat Reader for pdf files on your computer, you can download it from www.adobe.com.
Staff

Instructor:
Prof. Robert C. Berwick
berwick@ai.mit.edu
35-423, x3-8918

Teaching Assistant:
Catherine Havasi
havasi@mit.edu

Course Support:
Fifa Monserante
fifa@mit.edu

Course Meeting Time & Place

Lectures: M, W 9:30-10AM
Room: 54-100, map

Laboratories: T, Th, 9-11AM;  M, W 12-3PM
Room: 14-0637, map

Level & Prerequisites

Undergraduate/Graduate
6.034 or permission of instructor