The North American Computational Linguistics Olympiad (NACLO)
NACLO is an international contest in which middle school and high school students solve linguistics puzzles. No prior knowledge of linguistics or languages in necessary to solve the problems - just logic skills.
Professionals in linguistics and language technologies create engaging problems for the Olympiad using dozens of the world's languages. The competition attracts top students, many of whom choose later on to study and work in the field.
- Try out some graded practice problems here and some problems from prior NACLO and International Olympiads.
- Read about linguistics and computational linguistics.
- Explore the world's languages on the web.
- Open Round: The Open Round competition is on Thursday, January 23, 2020, 9:00 am — 12:00 pm. Seattle and Puget Sound area students will compete at the University of Washington Seattle Campus, Husky Union Building, Room 214.
- Invitational Round: The top 100 Open Round performers nationwide will be invited to participate. The Invitational Round competition will take place on Thursday, March 5, 2020, 9:00 am – 1:00 pm in Guggenheim Hall Room 415L on the University of Washington Seattle Campus.
- International Olympiad: Eight students will be selected to represent the United States at the 18th International Linguistics Olympiad to be held in Ventspils, Latvia from July 20-24, 2020.
The NACLO registration site is: www.nacloweb.org/register_student.php. On the second page of the registration form select University Site and the University of Washington as the Contest Site. In the Seattle and Puget Sound area, NACLO is organized by the Department of Linguistics at the University of Washington. The local organizers are Jim Hoard (email@example.com), Joyce Parvi (firstname.lastname@example.org), and Luke Zettlemoyer (email@example.com).
NACLO 2020 is sponsored by the National Science Foundation, Yahoo, the Linguistic Society of America, the North American Chapter of the Association for Computational Linguistics, Carnegie Mellon University, the University of Michigan, and the University of Pittsburgh Intelligent Systems Program.