Computational SLA* (CompSLA for short) is an initiative for organizing a series of Shared Tasks with reference to second language (L2) learning. Its primary aim is to encourage languages that do not have extensive collections of annotated learner data to take a step towards sharing that data with wider community and stimulating research around it.
The initiative was taken during a NLP4CALL workshop in 2021 (see slides).
Currently, there are two types of working groups under the Computational SLA heading: the local one (e.g. in Sweden), and the international one. The local group works on data preparation and annotation tasks for Swedish.
*SLA = Second Language Acquisition
Participating researchers per country
- Belgium: Orphee De Clercq, Thomas François
- Cyprus: Vladislav Tankov, Elizaveta Ershova
- Czech Republic: Alexandr Rosen
- France: Thomas Gaillat, Nicolas Balier
- Germany: Torsten Zesch, Detmar Meurers, Zarah Weiss, Andrea Horbach, Ronja Laarmann-Quante
- Israel: Olga Vinogradova
- Italy: Jennifer-Carmen Frey, Lionel Nicolas
- Slovenia: Špela Arhar Holdt
- Sweden: Elena Volodina, Arianna Masciolini, Ricardo Muñoz Sánchez, Judit Casademont Moner, Maria Irena Szawerna, Robert Östling, Murathan Kurfali, Yousuf Ali Mohammed, David Alfter
- United Kingdom: Chris Bryant, Andrew Caines, Chris Davis
Contact: Elena Volodina < elena . volodina @ svenska . gu . se >