Computer Science 650, Fall 2011
E-mail: [last name]@cs.ualberta.ca
Office hours: by appointment
Natural Language Processing
MWF 1300-1350 CSC B-41
The course website is now on moodle.
is a graduate course in natural language processing and
The course is concerned with concepts, models and algorithms to interpret,
generate and learn natural languages, as well as applications of NLP.
The goal of the course is for the students
to be familiar with basic concepts in NLP, understand the algorithms
and methods for NLP and acquire the skills for developing NLP tools/systems.
See also the departmental page for
- Computational morphology and phonology.
- N-gram language models and corpus techniques.
- Part-of-speech tagging using Hidden Markov Models.
- Parsing with context-free grammars.
- Machine translation.
- Character-level language processing.
Grading scheme :
| Assignments (3) || 30% |
| Quizzes (2) || 20% |
| Project || 50% |
Plagiarism and Cheating
Make sure you have
read and are familiar with the Code of Student Behaviour in the
University of Alberta Calendar
(online at http://www.ualberta.ca/~unisecr/policy/sec30.html).
Plagiarism and other forms of cheating are considered to be serious
All assignments are to be done individually. If you collaborate or
discuss your assignment with other students, this must be clearly
stated on the front page of your report.
If work is handed in where, in the opinion of the instructor,
it is too similar to have been done individually,
a grade of 0 will be assigned for that work to all
parties in the course that are involved.
In such a situation, the individuals who are involved will be notified
of this action by email sent to their Unix account. At that time, the
individuals should contact the lecture instructor to discuss the
matter, especially if they feel the action is unwarranted; contact
must be within 48 hours of the sending of any such messages. Failure
by the student to reply within 48 hours after sending of the message
will be taken as a refusal on their part to discuss the matter
further. Comparison of work will not be limited only to work handed in
during this term. If it is discovered that work handed in is
excessively similar (using the above criteria) to work handed in
during a past term, not only will the above procedure and penalties
apply, but the students in this course that are involved in this will
be reported to their Dean. The Dean will decide on a further action
(can result in being assigned a grade of 1F for the course and an
extended suspension from university).
Last updated: August 2011