Project Details
Description (abstract)
Modeling how language works and how computers can better understand language
| Short title | Language Learning Lab |
|---|---|
| Acronym | LLL |
| Status | Not started |
-
Applying gamification incentives in the Revita language-learning system
Hou, J., Kylliäinen, I. P., Katinskaia, A., Furlan, G. & Yangarber, R., 2022, Proceedings of the 9th Games and Natural Language Processing Workshop . Madge, C. (ed.). Paris: European Language Resources Association (ELRA), p. 7-16 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Semi-automatically Annotated Learner Corpus for Russian
Katinskaia, A., Lebedeva, M., Hou, J. & Yangarber, R., 2022, Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022). Calzolari, N., Béchet, F. & Blache, et al., P. (eds.). Paris: European Language Resources Association (ELRA), p. 832-839 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Assessing Grammatical Correctness in Language Learning
Katinskaia, A. & Yangarber, R., Apr 2021, Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications. Stroudsburg: The Association for Computational Linguistics, p. 135-146 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile