Projektinformation
Beskrivning (abstrakt)
Modeling how language works and how computers can better understand language
| Kort titel | Language Learning Lab |
|---|---|
| Akronym | LLL |
| Status | Ej startat |
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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. (red.). Paris: European Language Resources Association (ELRA), s. 7-16 10 s.Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
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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. (red.). Paris: European Language Resources Association (ELRA), s. 832-839 8 s.Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
Öppen tillgångFil -
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, s. 135-146 12 s.Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
Öppen tillgångFil