Dr. Chris Brew
Office: 583 Dreese Lab
Office Hours: Monday,
Friday 11:30 - 12:30, other times by appointment
Office Phone:
614-292-6370
Website:
www.cse.ohio-state.edu/~cbrew
Email:cbrew@acm.org
TBD
Title: Speech and Language Processing: An Introduction to Natural
Language Processing, Computational Linguistics and Speech
Recognition, 2nd edition
Authors: Jurafsky and
Martin
Publisher: Prentice Hall
The class meets Monday,Wednesday, Friday 10:30 - 11:18 in 713 Dreese Labs.
This course provides students with an introduction to techniques for automated processing of natural language. In the process we will encounter five major application areas.
Part-of-speech tagging (ch 5 and 6 of J&M);
Parsing of natural language (ch 12,13,14 of J&M);
Chunking and named entity recognition (parts of ch 22 of J&M)
Semantic role labeling (parts of ch 20 of J&M);
Automated machine translation (ch
25 of J&M);
This course does not address techniques for speech recognition, but focusses on techniques for extracting structure and meaning from text.
This course assumes no previous experience with computational linguistics. Basic programming skills are expected. The assignments in the course are as follows:
Labs: There will be four programming assignments. These will cover the first four topics.
Project: There will be a final project with an oral presentation and written paper requirement. This will be worked in pairs or small groups.
Exams: There will be an in-class midterm on topics 1-3 and a small in-class final quiz on topic 5
|
Participation |
10% |
|---|---|
|
Homeworks |
40% |
|
Midterm |
20% |
|
Project |
20% |
|
Final quiz |
10% |
Adherence to the schedule
Homework assignments: No make-up or late homework assignments will be accepted.
Exams: Students arriving late for an exam will not be admitted if another student has already left the room. Make-up exams: Students requesting to take an exam at a special time must provide significant documentation for their scheduling conflict, and must take the exam before the scheduled time.
Academic Honesty
Students are expected to know
and abide by OSU's policy
on academic integrity. Any work you submit, whether in a homework set
or on an exam, must be your own creation, unless exclusions are
explicitly described (for instance, CIS630 students may use code from
the textbook's code repository with proper attribution).
Collaboration is allowed for working out general principles and
establishing your knowledge of the material presented in the course,
but you should not show your work to another student, receive a copy
of work done by another student, or copy any work created by another
student - whether a paper or electronic copy. All instances of
suspected academic misconduct will be reported to the department
chairperson and the Committee on Academic Misconduct. Violations of
the student code of conduct often result in the student receiving a
failing grade in the course. The best way to avoid the temptation to
cheat is to start on your assignments in time to ask for help from
the instructor or grader. It is in your best interest to learn the
material included on the homeworks in order to perform well on the
exams. Don't jeopardize your GPA by flouting the standards of
academic integrity expected of OSU students.
Accommodation for Disabilities
Students with
disabilities are encouraged to discuss their needs with me as early
in the quarter as possible. I am happy to make accommodations as long
as you alert me to your requirements.