The MuLeCo project: A learner corpus of L1 German learners of Romance languages

• Creation of a learner corpus of L1-German learners of Romance languages • Error annotation and Contrastive Interlanguage Analysis (CIA) • Consequent use of DH methods with structured, relational data • Efficient approaches to and far-reaching options of data analysis and visualization • Presentation of implications, benefits and advantages of learner corpora for foreign language acquisition and teaching research

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Publication Details

Journal
Ampersand
Published
2025-05-16
DOI
https://doi.org/10.1016/j.amper.2025.100225
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

The MuLeCo project: A learner corpus of L1 German learners of Romance languages

Florian Zacherl, Stephan Lücke, Patricia de Crignis, Johanna Wolf
1 citations
Ampersand
Natural Language Processing Techniques
2.48
article

The MuLeCo project: A learner corpus of L1 German learners of Romance languages

Florian Zacherl, Stephan Lücke, Patricia de Crignis, Johanna Wolf
article en
1 citations

Abstract

• Creation of a learner corpus of L1-German learners of Romance languages • Error annotation and Contrastive Interlanguage Analysis (CIA) • Consequent use of DH methods with structured, relational data • Efficient approaches to and far-reaching options of data analysis and visualization • Presentation of implications, benefits and advantages of learner corpora for foreign language acquisition and teaching research

AmpersandVol. 15
Center for NanoScience (DE), Ludwig-Maximilians-Universität München (DE)
Quality Education
Openalex Percentile: Top 10%
Natural Language Processing Techniques
2.48
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