Bryn Mawr College
CMSC 325: Computational Linguistics
Prof. Deepak Kumar
|Texts||Important Dates||Assignments||Lectures||Course Policies||Links|
201 Park Science Building
dkumar at brynmawr dot edu
Lecture Hours: Mondays & Wednesdays, 10:10 a.m. to
Office Hours: TBA
Lab: All labs will meet in Room 230 PSB. Students should register for ONLY ONE of the labs shown below:
Course Description: Class Number: 2201
Introduction to computational models of understanding and processing human languages. How elements of linguistics, computer science, and artificial intelligence can be combined to help computers process human language and to help linguists understand language through computer models. Topics covered: syntax, semantics, pragmatics, generation and knowledge representation techniques. Prerequisite: CMSC 206 , or H106 and CMSC 231 or permission of instructor. Haverford: Natural Science (NA)
Enrollment Limit; 24.
Lab Attendance: Attendance in Lab is optional, but will be required during specific weeks. Look for announcements below during the semester. Prof. Kumar will be available in the Lab during all Lab times throughout the semester.
September 5: First lecture
December 13: Last lecture
Attendance and active participation are
expected in every class. Participation includes asking questions,
contributing answers, proposing ideas, and providing constructive
As you will discover, we are proponents of two-way communication and we welcome feedback during the semester about the course. We are available to answer student questions, listen to concerns, and talk about any course-related topic (or otherwise!). Come to office hours! This helps us get to know you. You are welcome to stop by and chat. There are many more exciting topics to talk about that we won't have time to cover in-class.
Although computer science work can be intense and solitary, please stay in touch with us, particularly if you feel stuck on a topic or project and can't figure out how to proceed. Often a quick e-mail, phone call or face-to-face conference can reveal solutions to problems and generate renewed creative and scholarly energy. It is essential that you begin assignments early, since we will be covering a variety of challenging topics in this course.
All graded work will receive a grade, 4.0, 3.7, 3.3, 3.0, 2.7, 2.3, 2.0, 1.7, 1.3, 1.0, or 0.0. At the end of the semester, final grades will be calculated as a weighted average of all grades according to the following weights:
Exam 1: 15%
Exam 2: 15%
Exam 3: 15%
Labs & Written Work: 55%
Incomplete grades will be given only for verifiable medical
illness or other such dire circumstances.
Submission and Late Policy
All work must be turned in either in hard-copy or electronic
submission, depending on the instructions given in the
assignment. E-mail submissions, when permitted, should request
a "delivery receipt" to document time and date of submission. Extensions will be given only in the case of verifiable medical
excuses or other such dire circumstances, if requested in advance
and supported by your Academic Dean.
No assignment will be accepted after it is past due.
No past work can be "made up" after it is due.
No regrade requests will be entertained one week after the graded work is returned in class.
There will be three exams in this course. The exams will be closed-book and closed-notes. The exams will cover material from lectures, homeworks, and assigned readings (including topics not discussed in class).
The Association for Computational Linguistics (ACL)
The Language Computer Q&A demo
An online version of ELIZA
NLTK Home page
NLTK LITE Tutorials
NLTK LITE API Documentation
Created on May 4, 2018.