The Core Metadata Schema for Learner Corpora (LC-meta)

Abstract Metadata is critical throughout the research process, from study design to corpus selection/compilation, result interpretability and cumulative research. To date, however, learner corpus research has not developed community standards or best practices for metadata collection and sharing. In this article, we present the results of a collaborative project aimed at addressing this issue by developing a standardised metadata schema for learner corpora. We first describe the procedure implemented to design the schema, including the ways in which we continuously involved learner corpus researchers in this initiative. We then introduce the Core Metadata Schema for Learner Corpora (LC-meta, Version 2), which consists in a set of obligatory and optional variables that encapsulate crucial information about L2 data (administrative details, corpus design, text-related variables, learner-related variables, annotations, annotators, or transcribers). Finally, we discuss future developments and emphasise the importance of continued maintenance and further refinement of this schema by the research community.

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Publication Details

Journal
International Journal of Learner Corpus Research
Published
2024-09-13
DOI
https://doi.org/10.1075/ijlcr.24010.paq
Citations
8
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
3.13
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article

The Core Metadata Schema for Learner Corpora (LC-meta)

Egon Stemle, Magali Paquot, Jennifer-Carmen Frey, Alexander König
8 citations
International Journal of Learner Corpus Research
Natural Language Processing Techniques
3.13
article

The Core Metadata Schema for Learner Corpora (LC-meta)

Egon Stemle, Magali Paquot, Jennifer-Carmen Frey, Alexander König
article en
8 citations

Abstract

Abstract Metadata is critical throughout the research process, from study design to corpus selection/compilation, result interpretability and cumulative research. To date, however, learner corpus research has not developed community standards or best practices for metadata collection and sharing. In this article, we present the results of a collaborative project aimed at addressing this issue by developing a standardised metadata schema for learner corpora. We first describe the procedure implemented to design the schema, including the ways in which we continuously involved learner corpus researchers in this initiative. We then introduce the Core Metadata Schema for Learner Corpora (LC-meta, Version 2), which consists in a set of obligatory and optional variables that encapsulate crucial information about L2 data (administrative details, corpus design, text-related variables, learner-related variables, annotations, annotators, or transcribers). Finally, we discuss future developments and emphasise the importance of continued maintenance and further refinement of this schema by the research community.

International Journal of Learner Corpus ResearchVol. 10(2)
Eurac Research (IT), Canarie (CA), Common Language Resources and Technology Infrastructure (NL), UCLouvain (BE)
Openalex Percentile: Top 7%
Natural Language Processing Techniques
3.13
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The Core Metadata Schema for Learner Corpora (LC-meta) — Egon Stemle, Magali Paquot, et al. · International Journal of Learner Corpus Research (2024) | TGRS Research Map | TGRS