Corpus-Based Resources for L1 Teaching: The Case of Slovene

Holdt, Špela Arhar; Kosem, Iztok; Gantar, Polona

doi:10.1007/978-3-319-33808-8_7

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…However, even the search interfaces set limitations on formats, most prominently, corpus workbench depending heavily on TEI-XML. Most error-annotated corpora are, therefore, distributed in xml file formats with only a few distributed alternatively also in json format [30]. SweLL-gold and SweLL-pilot are distributed in three file formats: raw texts, linguistically annotated xml (TEI-XML) and json (in case of SweLL-gold containing correction and pseudonymization tags).…”

Section: Ideal Infrastructure For Learner Languagementioning

confidence: 99%

On two SweLL learner corpora – SweLL-pilot and SweLL-gold

Volodina

2024

Linköping Electronic Conference Proceedings

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SweLL – Swedish Learner Language – is a unifying term for the infrastructure module for research on Swedish as a Second Language (L2), deployed and maintained as a part of bigger infrastructure of Språkbanken Text at the University of Gothenburg, Sweden. The SweLL infrastructure module consists of a number of learner data collections, and tools for annotation and management of learner data. As a result, many of its components contain the prefix SweLL in their names, which has created some confusion, especially with regards to the two corpora. In this article we shortly introduce the various SweLL-components with a special focus on the differences between the two SweLL corpora.

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Section: Ideal Infrastructure For Learner Languagementioning

confidence: 99%

On two SweLL learner corpora – SweLL-pilot and SweLL-gold

Volodina

2024

Linköping Electronic Conference Proceedings

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“…Hence, the Pedagogical Grammar Portal, a freely available multimodal resource, was developed. It is composed of multiple chapters, each centred on the most common language challenges students face while writing in standard Slovene (Arhar Holdt et al, 2017). Data from three distinct corpora inform its content.…”

Section: Applications Of the šOlar Corpusmentioning

confidence: 99%

“…Subsequent versions, Šolar 2.0 and Šolar 3.0 were released in 2019 and 2022 respectively. Despite shorter presentations of Šolar 1.0 by Kosem et al (2011) and Arhar Holdt et al (2017), as well as some contributions on Šolar 1.0 and 2.0 in the Slovene language (Kosem et al, 2012;Arhar Holdt et al 2022a), the corpus has not yet been fully presented. In this paper, we aim to provide a comprehensive overview of the corpus, including its content, text collection and legal issues, transcription, anonymisation, error/correction annotation and categorisation, linguistic tagging, format, availability, and applications of the corpus use.…”

Section: Introductionmentioning

confidence: 99%

Šolar, the developmental corpus of Slovene

Holdt,

Kosem

2023

Preprint

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The 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 5,485 texts (1,635,407 words) and features linguistically categorized teacher corrections. Notably, the annotation of language problems is based on actual 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.

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“…The initial lexicographically oriented GDEX configuration was also used for pedagogical purposes, i.e. in the preparation of examples for exercises in the Pedagogical Corpus Grammar (Arhar Holdt et al, 2011;Arhar Holdt et al, 2017).…”

Section: Pedagogically Oriented Gdex Configurationsmentioning

confidence: 99%

Data preparation in crowdsourcing for pedagogical purposes

Kuhn¹,

Holdt

Kosem

et al. 2022

SLO2.0

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One way to stimulate the use of corpora in language education is by making pedagogically appropriate corpora, labeled with different types of problems (sensitive content, offensive language, structural problems). However, manually labeling corpora is extremely time-consuming and a better approach should be found. We thus propose a combination of two approaches to the creation of problem-labeled pedagogical corpora of Dutch, Estonian, Slovene and Brazilian Portuguese: the use of games with a purpose and of crowdsourcing for the task. We conducted initial experiments to establish the suitability of the crowdsourcing task, and used the lessons learned to design the Crowdsourcing for Language Learning (CrowLL) game in which players identify problematic sentences, classify them, and indicate problematic excerpts. The focus of this paper is on data preparation, given the crucial role that such a stage plays in any crowdsourcing project dealing with the creation of language learning resources. We present the methodology for data preparation, offering a detailed presentation of source corpora selection, pedagogically oriented GDEX configurations, and the creation of lemma lists, with a special focus on common and language-dependent decisions. Finally, we offer a discussion of the challenges that emerged and the solutions that have been implemented so far.

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Corpus-Based Resources for L1 Teaching: The Case of Slovene

Cited by 8 publications

References 9 publications

On two SweLL learner corpora – SweLL-pilot and SweLL-gold

On two SweLL learner corpora – SweLL-pilot and SweLL-gold

Šolar, the developmental corpus of Slovene

Data preparation in crowdsourcing for pedagogical purposes

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