Computational SLA* (CompSLA for short) is an initiative for organizing a series of Shared Tasks with reference to second language (L2) learning. Its 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).
*SLA = Second Language Acquisition
First CompSLA task
Currently, a group of researchers representing L2 datasets for Czech, English, German, Italian and Swedish are working on the preparation of the first shared task.
The intended venue is NLP4CALL-2023, co-located with the Nodalida conference in Faeroe Islands.
Targeted languages and datasets
- L2 Czech data (CzeSL)
- L2 English data (REALEC)
- L2 English data (FCE)
- L2 German data (Merlin)
- L2 Italian data (Merlin)
- L2 Swedish data (SweLL)
- Elena Volodina, Sweden (main organizer)
- Cris Bryant, Great Britain
- Andew Caines, Great Britain
- Orphee DeClerq, Belgium
- Jennifer Carmen Frey, Italy
- Alexandr Rosen, Czech Republic
- Olga Vinogradova, Russia/Israel
Contact: Elena Volodina < elena . volodina @ svenska . gu . se >