The MuLeCo project: A learner corpus of L1 German learners of romance languages
The importance of learner corpora for foreign language acquisition research as well as their role in data-driven learning and other learning contexts is now widely recognised. They have become a valuable resource for both foreign language teaching and learning. To date, there is no extensive collect...
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| Language: | English |
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Elsevier
2025-12-01
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| Series: | Ampersand |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215039025000098 |
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| author | Stephan Lücke Patricia de Crignis Johanna Wolf Florian Zacherl |
| author_facet | Stephan Lücke Patricia de Crignis Johanna Wolf Florian Zacherl |
| author_sort | Stephan Lücke |
| collection | DOAJ |
| description | The importance of learner corpora for foreign language acquisition research as well as their role in data-driven learning and other learning contexts is now widely recognised. They have become a valuable resource for both foreign language teaching and learning. To date, there is no extensive collection of learner language data from L1 German speakers for the Romance languages taught in schools (French, Spanish, Italian). This desideratum is addressed by the error-annotated learner corpus MuLeCo (Munich Learner Corpus). The collection of written learner productions aims to shed light on persistent challenges faced by learners of French, Spanish, and Italian, while also providing a solid empirical basis for developing didactic and data-driven materials for foreign language teaching—thus helping to bridge the gap between Foreign Language Acquisition (FLA) and Foreign Language Teaching (FLT). In addition, MuLeCo creates a space for critically revisiting key concepts such as “error,” “variation,” and “norm” in the context of interlanguage phenomena. This article aims to demonstrate how a learner corpus can be constructed to identify persistent problem areas in foreign language learning and processing. Following an outline of the linguistic and didactic objectives, the article presents in detail the methodology employed to collect, structure, organise, analyse, and make the corpus data accessible. The entire workflow is designed to be fully digital. At the core of the corpus lies the categorisation of errors. The relational database used for storing and handling the highly structured corpus data allows for multifold analysis. The article concludes with initial analytical approaches and selected findings |
| format | Article |
| id | doaj-art-f9325cf930e6458e8e19fc6496b87932 |
| institution | DOAJ |
| issn | 2215-0390 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ampersand |
| spelling | doaj-art-f9325cf930e6458e8e19fc6496b879322025-08-20T02:39:19ZengElsevierAmpersand2215-03902025-12-011510022510.1016/j.amper.2025.100225The MuLeCo project: A learner corpus of L1 German learners of romance languagesStephan Lücke0Patricia de Crignis1Johanna Wolf2Florian Zacherl3LMU Center for Digital Humanities, Ludwig-Maximilians-Universität in Munich, Geschwister-Scholl-Platz 1, 80539, München, Germany; Corresponding author.Institute for Romance Philology, Ludwig-Maximilians-Universität in Munich, GermanyInstitute for Romance Philology, Ludwig-Maximilians-Universität in Munich, GermanyLMU Center for Digital Humanities, Ludwig-Maximilians-Universität in Munich, Geschwister-Scholl-Platz 1, 80539, München, GermanyThe importance of learner corpora for foreign language acquisition research as well as their role in data-driven learning and other learning contexts is now widely recognised. They have become a valuable resource for both foreign language teaching and learning. To date, there is no extensive collection of learner language data from L1 German speakers for the Romance languages taught in schools (French, Spanish, Italian). This desideratum is addressed by the error-annotated learner corpus MuLeCo (Munich Learner Corpus). The collection of written learner productions aims to shed light on persistent challenges faced by learners of French, Spanish, and Italian, while also providing a solid empirical basis for developing didactic and data-driven materials for foreign language teaching—thus helping to bridge the gap between Foreign Language Acquisition (FLA) and Foreign Language Teaching (FLT). In addition, MuLeCo creates a space for critically revisiting key concepts such as “error,” “variation,” and “norm” in the context of interlanguage phenomena. This article aims to demonstrate how a learner corpus can be constructed to identify persistent problem areas in foreign language learning and processing. Following an outline of the linguistic and didactic objectives, the article presents in detail the methodology employed to collect, structure, organise, analyse, and make the corpus data accessible. The entire workflow is designed to be fully digital. At the core of the corpus lies the categorisation of errors. The relational database used for storing and handling the highly structured corpus data allows for multifold analysis. The article concludes with initial analytical approaches and selected findingshttp://www.sciencedirect.com/science/article/pii/S2215039025000098Foreign language acquisitionDigital HumanitiesDatabasesLearner CorporaInformed Error Analysis |
| spellingShingle | Stephan Lücke Patricia de Crignis Johanna Wolf Florian Zacherl The MuLeCo project: A learner corpus of L1 German learners of romance languages Ampersand Foreign language acquisition Digital Humanities Databases Learner Corpora Informed Error Analysis |
| title | The MuLeCo project: A learner corpus of L1 German learners of romance languages |
| title_full | The MuLeCo project: A learner corpus of L1 German learners of romance languages |
| title_fullStr | The MuLeCo project: A learner corpus of L1 German learners of romance languages |
| title_full_unstemmed | The MuLeCo project: A learner corpus of L1 German learners of romance languages |
| title_short | The MuLeCo project: A learner corpus of L1 German learners of romance languages |
| title_sort | muleco project a learner corpus of l1 german learners of romance languages |
| topic | Foreign language acquisition Digital Humanities Databases Learner Corpora Informed Error Analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2215039025000098 |
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