Managing Access to Language Resources in a Corpus Analysis Platform

Corpus query tools are crucial to CLARIN’s mission of facilitating the sharing and use of language data for research. It is a huge challenge for online corpus platforms to manage user access rights for large corpora with complex licenses and heterogeneous restrictions on access methods and purposes. This paper presents an approach to maximize user access to corpus data while protecting rights holders’ legitimate interests. Query rewriting techniques and authorization procedures allow for modelling license terms in detail, enabling broader applications. This offers an alternative to methods that only model a greatest common denominator of licenses, thereby limiting the possibilities for using the data. Our approach constitutes a flexible and extensible corpus license and user rights management component applicable for other language research environments.

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Publication Details

Journal
Linköping electronic conference proceedings
Published
2025-08-25
DOI
https://doi.org/10.3384/ecp216.09
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

Managing Access to Language Resources in a Corpus Analysis Platform

Nils Diewald, Paweł Kamocki, Marc Kupietz, Eliza Margaretha Illig
Linköping electronic conference proceedings
Natural Language Processing Techniques
article

Managing Access to Language Resources in a Corpus Analysis Platform

Nils Diewald, Paweł Kamocki, Marc Kupietz, Eliza Margaretha Illig
article en

Abstract

Corpus query tools are crucial to CLARIN’s mission of facilitating the sharing and use of language data for research. It is a huge challenge for online corpus platforms to manage user access rights for large corpora with complex licenses and heterogeneous restrictions on access methods and purposes. This paper presents an approach to maximize user access to corpus data while protecting rights holders’ legitimate interests. Query rewriting techniques and authorization procedures allow for modelling license terms in detail, enabling broader applications. This offers an alternative to methods that only model a greatest common denominator of licenses, thereby limiting the possibilities for using the data. Our approach constitutes a flexible and extensible corpus license and user rights management component applicable for other language research environments.

Linköping electronic conference proceedingsVol. 216
Institute of Linguistics (CN)
Openalex Percentile: Top 56%
Natural Language Processing Techniques
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Managing Access to Language Resources in a Corpus Analysis Platform — Nils Diewald, Paweł Kamocki, et al. · Linköping electronic conference proceedings (2025) | TGRS Research Map | TGRS