They are offered through Pitt's CS department and also CMU's Language Technologies Institute (LTI), and often come with CS prerequisites such as Java, algorithms and databases.Ĭomputational Models of Discourse AnalysisĪdditionally, some NLP courses are more about bridging CS and theoretic linguistic foundations, and they welcome participation from linguistics majors:Ĭonlanging: Learning about linguistics and language technologies through construction of artificial languages If you are picking up a major or minor in computer science, you should consider taking some of the following courses. What about R? R is a popular tool as well, especially in the context of statistically focused research. Introduction to Computational Linguistics They both rely heavily on Python as the programming language of choice. The two key computational courses offered in our department are LING 1330 and LING 1340. Introduction to Computing for the Humanities Many students don't find themselves immediately taking to programming, but don't be discouraged! When you get to LING 1330 "Intro to Computational Linguistics", you will see how the training you picked up lines up neatly with your linguistic interests. It is a intro to programming course tailored for students with a humanities background where you will learn Python. If you never took a programming course before, you should start with CS 12. Many students have done this and found it instrumental in their post-graduation career building. Taking a couple of key courses will give you this foundation. In your senior year, you should look beyond academia and look for career opportunities or plan to seek further training through grad school.īut what if you only have so much room in your schedule? It's never too late to pick up some computational training before you graduate, which will make you a stronger linguist. You should continue learning and training through the sophomore and junior years, taking more courses (I recommend at least one computational course a semester) and gaining exposure through collaborating with faculty members and participating in computational linguistics research projects. Get an early start: freshman is a good time to pick up a programming language, and, if you haven’t heard, that language should be Python. This document gives you an overview of the classes and resources available at Pitt and beyond.Ĭomputational methods are all about habit-building, which means you don’t become a computational linguist in one short semester. If you want to major in linguistics with a special focus on computational linguistics, or are just plain curious about computational methods, Pitt is a great place to be. With Artificial Intelligence (AI) finally maturing and natural language becoming its central interface, this is a good time to be a computational linguist. Studying Computational Linguistics at Pitt: A Guide degree in Linguistics, he or she may apply to receive a “Master’s in Passing.” Please consult section IV.D.3 of the Graduate School Bulletin for full details about the “in passing” or “terminal” Master’s degree.Studying Computational Linguistics at Pitt program, a doctoral student meets all of the requirements of a M.S. Īn interdisciplinary (second) concentration in Cognitive Science is also available to Ph.D. students may elect to add a minor in a second one of these concentrations. program are encouraged to identify prospective research advisors, at least one of whom should be in the concentration to which they apply.Īfter entering the program, Ph.D. No matter the concentration, our faculty work closely with students, guiding their research and supporting their passions.Īpplicants to the Ph.D. The Department of Linguistics offers four concentrations leading to the Doctor of Philosophy (Ph.D.) degree in Linguistics (see list below).
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