Revita: Language learning and AI

Research output

Research output per year 2013 2013 2016 2017 2018 2019 2020 2022 2022

• 14 Conference contribution
• 2 Conference article
• 1 Chapter
• 1 Paper
• 2 More
  • 1 Article
  • 1 Other contribution

Research output per year

Research output per year

Search results

• 2022

  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 Access

  File

• 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 Access

  File
• 2021

  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 Access

  File
• 2020

  Neural disambiguation of lemma and part of speech in morphologically rich languages

  Quecedo, J. M. H., Koppatz, M. W., Furlan, G. & Yangarber, R., 2020, arXiv.org.

  Research output: Other contribution

  Open Access

• Toward a Paradigm Shift in Collection of Learner Corpora

  Katinskaia, A., Ivanova, S. & Yangarber, R., 2020, p. 379. 384 p.

  Research output: Conference materials › Paper › peer-review

• Упражнения на основе текста: как компьютер помогает преподавателю

  Translated title of the contribution: Story-based language learning exercises: how language technology helps the teacherKatinskaia, A., Hou, J. & Yangarber, R., 2020, In: Русский язык за рубежом. Учебно-методический иллюстрированный журнал. Приложение. 283, 6, p. 50-57 7 p.

  Research output: Contribution to journal › Article › Scientific
• 2019

  Modeling language learning using specialized Elo ratings

  Hou, J., Koppatz, M., Hoya Quecedo, J. M., Stoyanova, N., Kopotev, M. & Yangarber, R., Aug 2019, Innovative Use of NLP for Building Educational Applications: Proceedings of the 14th Workshop. Yannakoudakis, H., Kochmar, E., Leacock, C., Madnani, N., Pilán, I. & Zesch, T. (eds.). Stroudsburg: The Association for Computational Linguistics, p. 494-506 13 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Multiple Admissibility in Language Learning: Judging Grammaticality using Unlabeled Data

  Katinskaia, A., Ivanova, S. & Yangarber, R., Aug 2019, The 7th Workshop on Balto-Slavic Natural Language Processing: Proceedings of the Workshop. Erjavec, T., Marcińczuk, M., Nakov, P., Piskorski, J., Pivovarova, L., Šnajder, J., Steinberger, J. & Yangarber, R. (eds.). Stroudsburg: The Association for Computational Linguistics, p. 12-22 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Tools for supporting language learning for Sakha

  Ivanova, S., Katinskaia, A. & Yangarber, R., 2019, 22nd Nordic Conference on Computational Linguistics (NoDaLiDa): Proceedings of the Conference. Hartmann, M. & Plank, B. (eds.). Linköping: Linköping University Electronic Press (LiU E-Press), p. 155-163 9 p. (Linköping Electronic Conference Proceedings; no. 167)(NEALT Proceedings Series; no. 42).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File
• 2018

  Digital cultural heritage and revitalization of endangered Finno-Ugric languages

  Katinskaia, A. & Yangarber, R., 2018, In: CEUR Workshop Proceedings. 2084

  Research output: Contribution to journal › Conference article › Scientific › peer-review

  Open Access

  File

• Revita: a Language-learning Platform at the Intersection of ITS and CALL

  Katinskaia, A., Nouri, J. & Yangarber, R., May 2018, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Nicoletta, C. (ed.). European Language Resources Association (ELRA), p. 4084-4093 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File
• 2017

  Learning Morphology of Natural Language as a Finite-state Grammar

  Nouri, J. & Yangarber, R., 27 Sep 2017, Statistical Language and Speech Processing: 5th International Conference, SLSP 2017, Le Mans, France, October 23-25, 2017, Proceedings. Camelin, N., Estève, Y. & Martín-Vide, C. (eds.). Cham: Springer International Publishing AG, p. 44-57 (Lecture Notes in Artificial Intelligence; vol. 10583).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• Revita: a System for Language Learning and Supporting Endangered Languages

  Katinskaia, A., Nouri, J. & Yangarber, R., 11 May 2017, In: Linköping electronic conference proceedings. 134, p. 27-35 4.

  Research output: Contribution to journal › Conference article › Scientific › peer-review

  Open Access

  File
• 2016

  A Novel Method for Evaluation of Morphological Segmentation

  Nouri, J. & Yangarber, R., 2016, LREC 2016, Tenth International Conference on Language Resources and Evaluation. Calzolari, N., Choukri, K., Declerck, T., Grobelnik, M., Maegaard, B., Mariani, J., Moreno, A., Odijk, J. & Piperidis, S. (eds.). Paris: European Language Resources Association (ELRA), p. 3102-3109 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• From alignment of etymological data to phylogenetic inference via population genetics

  Nouri, J., Sirén, J., Corander, J. & Yangarber, R., 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning. Stroudsburg, PA: The Association for Computational Linguistics, p. 27-37 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• Modeling language evolution with codes that utilize context and phonetic features

  Nouri, J. & Yangarber, R., 2016, The 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL): Proceedings of the Conference. Stroudsburg, PA: The Association for Computational Linguistics, p. 136-145 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
• 2015

  CoCoCo: Online Extraction of Russian Multiword Expressions

  Kopotev, M., Escoter, L., Kormacheva, D., Pierce, M. D., Pivovarova, L. & Yangarber, R., 2015, The 5th Workshop on Balto-Slavic Natural Language Processing. p. 43-45 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
• 2014

  Measuring Language Closeness by Modeling Regularity

  Nouri, J. & Yangarber, R., Oct 2014, Proceedings of the EMNLP’2014Workshop: Language Technology for Closely Related Languages and Language Variants. ACL, p. 56-65 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
• 2013

  Information-theoretic modeling of etymological sound change

  Wettig, J., Nouri, J., Reshetnikov, K. & Yangarber, R., 2013, Approaches to measuring linguistic differences. Borin, L. & Saxena, A. (eds.). De Gruyter Mouton, p. 507-532 26 p. ( Trends in Linguistics; no. 265).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

• MDL-based Models for Transliteration Generation

  Nouri, J., Pivovarova, L. & Yangarber, R., 2013, Unknown host publication. 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File