This page serves as the syllabus for this course.
There is no course textbook. Readings will be from the following resources available online:
There will be four programming assignments and a project. For the project, there will be four separate parts that will be graded: a project proposal halfway through the semester, a progress report, an oral presentation on the project given during the final week of class, and a final report on the project. Evaluation will be based on the project and homeworks. There will be no exams.
Assignments will be updated on the assignments page. A tentative schedule for the entire semester is posted on the schedule page. Readings and exercises may change up one week in advance of their due dates.
The goal of this course is to provide the student with the necessary tools and techniques for doing corpus-based studies and annotation projects. It will thus help prepare the student for doing original research using corpora.
Some specific goals of the course are to enable students to:
This course provides an in-depth introduction to the construction and use of corpora for linguistic analyses. It will adress the following points:
The second topic of the course is an introduction to programming in
Python. We will focus on using Python for corpus processing, including the use of the Natural Language Toolkit.
Detailed course content is discussed on the Schedule page.
If you turn in your assignment late, expect points to be deducted. Extensions will be considered on a case-by-case basis.
For assignments, by default, 5 points (out of 100) will be deducted for lateness, plus an additional 1 point for every 24-hour period beyond 2 that the assignment is late. For example, an assignment due at 2pm on Tuesday will have 5 points deducted if it is turned in late but before 2pm on Thursday. It will have 6 points deducted if it is turned in by 2pm Friday, etc.
Notify me in advance if you need an extension on a course requirement. The greater the advance notice of a need for an extension, the greater the likelihood of leniency.
You are encouraged to discuss assignments with classmates. But all written work must be your own. Students caught cheating will automatically fail the course. If in doubt, ask the instructor.
The University of Texas at Austin provides upon request appropriate academic accommodations for qualified students with disabilities. Please contact the Division of Diversity and Community Engagement, Services for Students with Disabilities, 512-471-6259, http://www.utexas.edu/diversity/ddce/ssd/
By UT Austin policy, you must notify me of your pending absence at least fourteen days prior to the date of observance of a religious holy day. If you must miss a class, an examination, a work assignment, or a project in order to observe a religious holy day, you will be given an opportunity to complete the missed work within a reasonable time after the absence.
If you are worried about someone who is acting differently, you may use the Behavior Concerns Advice Line to discuss by phone your concerns about another individual's behavior. This service is provided through a partnership among the Office of the Dean of Students, the Counseling and Mental Health Center (CMHC), the Employee Assistance Program (EAP), and The University of Texas Police Department (UTPD). Call 512-232-5050 or visit http://www.utexas.edu/safety/bcal