USC Acdemic Calendar Spring 2011

Spring 2011 Exam Schedule


	Schedule
	Lectures
	Resources
	Videos on Vimeo
	Handouts
	Laboratory Assignments

Resources

Department

College of Engr.

University Home Page

Library USCAN

CSCE 771 Natural Language Processsing

General Information

Description: Computer Processing of Natural Language. (3) (Prereq: CSCE 580) Computational models for the analysis and synthesis of natural language; representations for syntax and semantics; applications to text-to-speech conversion, speech recognition, and language understanding.
Prerequisites:

Instructor

Manton M . Matthews

mm at sc dot edu

Main text

Speech and Language Processing, 2nd edition by Jurafsky & Martin, (Prentice Hall Series in Artificial Intelligence), 2008.

Time and Location

TTh 11:00-12:15 SWGN 2A11

Course Outcomes The goal for this course is for you to understand various models of the syntax and semantics of natural language and their use in software systems. In particular you should be able to:

Demonstrate mastery of python for crawling the web and extracting knowledge,
Demonstrate mastery of parsing of natural languages and knowledge representation languages,
Demonstrate mastery of Hidden Markov Models (HMM) for choosing the best matching sequence.
Demonstrate mastery of knowledge representation for semantics, and
Demonstrate mastery of python and the Natural Language Toolkit for processing natural languages,
Demonstrate the ability to formulate a research proposal.

Important Dates

Date	Significance
Jan 10	classes begin
Monday, Feb 28, 2011	Last day to withdraw without WF
TBA	Final Exam

Policies

Assignments:
Assignments will be handled through dropbox https://dropbox.cse.sc.edu/ . No late homework or projects will be accepted. If you cannot make it to class due to other commitments, you can hand in your homework the day before it is due.

Grading policy:
The final grade will be based on 6-8 assignments and the final exam, according to the following weights:

Projects: 60%
Midterm and Final: 40%

Academic Integrity

The homework and programs you submit for this class must be entirely your own. If this policy is not absolutely clear, then please contact me. Any other collaboration of any type on any assignment is not permitted. It is also your responsibility to protect your work from unauthorized access. You are reminded that you are expected to know and follow the academic code of responsibility that appears in at Carolina Community: Student Handbook & Policy Guide, (Link to actual section) In particular all work submitted for this course must be your own. Violations of this code can result in actions varying from a failing grade to expulsion from the university.

Solutions to midterms will be distributed when the exams are returned, usually within one week of the exam.

Questions about grading of midterms and assignments must be presented to the instructor within one week after the tests or assignments have been returned.

URL:

http://www.cse.sc.edu/~matthews/Courses/771/index.html

RETURN TO TOP

USC LINKS: