Semi-automatically Annotated Learner Corpus for Russian

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

We present ReLCo— the Revita Learner Corpus—a new semi-automatically annotated learner corpus for Russian. The corpus was collected while several hundreds L2 learners were performing exercises using the Revita language-learning system. All errors were detected automatically by the system and annotated by type. Part of the corpus was annotated manually—this part was created for further experiments on automatic assessment of grammatical correctness. The Learner Corpus provides valuable data for studying patterns of grammatical errors, experimenting with grammatical error detection and grammatical error correction, and developing new exercises for language learners. Automating the collection and annotation makes the process of building the learner corpus much cheaper and faster, in contrast to the traditional approach of building learner corpora. We make the data publicly available.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022)
EditorsNicoletta Calzolari, Frédéric Béchet, Philippe Blache, et al.
Number of pages8
Place of PublicationParis
PublisherEuropean Language Resources Association (ELRA)
Publication date2022
Pages832-839
ISBN (Electronic)9791095546726
Publication statusPublished - 2022
MoE publication typeA4 Article in conference proceedings
EventLanguage Resources and Evaluation Conference - Marseille, France
Duration: 20 Jun 202225 Jun 2022
Conference number: 13
https://lrec2022.lrec-conf.org/en/

Fields of Science

  • 113 Computer and information sciences

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