In current linguistic research, it is often necessary to deal with lots of data (corpus or experimental data). This course offers practical training in standard computational tools for tackling different kinds of data for linguistic research. Students will learn computational techniques to access, search and format linguistic datasets, including text corpora, speech and audio, structured representations and experimental measurements. The course will also cover data exploration and visualization.
No prerequisite in programming is required: the course will cover introductory scripting in Python, R and Praat. The course is designed to be hands-on, and students will have the opportunity to work on the problem sets during the class sessions.
The schedule page and this one serve as the syllabus for this course.Unit 1: Basic data manipulations
There will be four assignments to turn in. Each one will require students to write a short program to perform some analysis of a dataset (for instance, assignment 1 is to write a Python program measuring utterance lengths by men and women in a section of the Fisher corpus). Students will work on the assignments both in class and at home, and will be encouraged to work collaboratively in small groups, but everyone has to turn in his/her own assignment.
Periodically there will be day to day short assignments strongly recommended, but that do not have to be turned in. Participation in class is mandatory.
A tentative schedule for the month is posted on the schedule page. Readings and assignments may change! Deadlines will be announced in class too.
Homeworks (75%): Four homework assignments: the first three are due by the beginning of class on the Tuesday after they are assigned. The last homework is due at 11:59pm on the last day of class. No late homeworks will be accepted.
Participation (25%): Participation in class counts toward your grade; you are expected to show up, do the in-class exercises and ask for help if you need it.Grades will be assigned using the standard OSU scale.
Materials for each unit will be posted on the website, as will the slides presented in class. Datasets which cannot be made publicly available will be on Carmen.
Note that email from Carmen is sent to your official email address (Name.Number@osu.edu). You should read email sent to your official OSU account on a daily basis.
If you know you won't be able to make a deadline, please see me before you miss the deadline or exam.
As with any class at this university, students are required to follow the Ohio State Code of Student Conduct. In particular, note that students are not allowed to, among other things, submit plagiarized (copied but unacknowledged) work for credit. If any violation occurs, I am required to report the violation to the Council on Academic Misconduct. See the Committee on Academic Misconduct's Frequently Asked Questions.