Šolar, the developmental corpus of Slovene

Author:

Arhar Holdt ŠpelaORCID,Kosem IztokORCID

Abstract

AbstractThe paper presents the Šolar developmental corpus of Slovene, comprising the written language production of students in Slovene elementary and secondary schools, along with teacher feedback. The corpus consists of 5485 texts (1,635,407 words) and includes linguistically categorized teacher corrections, making the corpus unique in reflecting authentic classroom correction practices. The paper addresses the corpus compilation, content and format, annotation, availability, and its applicative value. While learner corpora are abundant, developmental corpora are less common. The paper bridges the gap by introducing the evolution from Šolar 1.0 to 3.0, emphasizing improvements in text collection, error and correction annotation, and categorization methodology. It also underlines the challenges and unresolved issues of compiling developmental corpora, most notably the lack of openly available tools and standards for different steps of the compilation process. Overall, the Šolar corpus offers valuable insights into language learning and teaching, contributing to teacher training, empirical studies in applied linguistics, and natural language processing tasks.

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Springer Science and Business Media LLC

Reference67 articles.

1. Abel, A., Glaznieks, A., Nicolas, L., & Stemle, E. (2014). KoKo: An L1 learner corpus for German. In N. Calzolari et al. (Eds.), Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland (pp. 2414–2421). European Language Resource Association (ELRA).

2. Ahačič, K. (2017a). Kratkoslovnica: slovenska slovnica za osnovno šolo (1st ed.). Rokus Klett.

3. Ahačič, K. (2017b). Slovnica na kvadrat: slovenska slovnica za srednjo šolo (1st ed.). Rokus Klett.

4. Arhar, Š, & Holozan, P. (2009). Leksikalna podatkovna zbirka ASES (Amebisov skupni elektronski slovar). In V. Mikolič (Ed.), Jezikovni korpusi v medkulturni komunikaciji (pp. 30–51). Založba Annales in Zgodovinsko društvo za južno Primorsko.

5. Arhar Holdt, Š., Erjavec, T., Kosem, I., & Volodina, E. (2024). Towards an ideal tool for learner error annotation. In N. Calzolari et al. (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy (pp. 16392–16398). ELRA and ICCL.

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