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dc.contributor.authorStemle EW
dc.contributor.authorBoyd A
dc.contributor.authorJanssen M
dc.contributor.authorLindström Tiedemann T
dc.contributor.authorMikelić Preradović N
dc.contributor.authorRosen A
dc.contributor.authorRosén D
dc.contributor.authorVolodina E
dc.date.accessioned2020-03-24T15:23:11Z
dc.date.available2020-03-24T15:23:11Z
dc.date.issued2019
dc.identifier.issn2034-6417
dc.identifier.urihttps://pul.uclouvain.be/book/?gcoi=29303100798060
dc.identifier.urihttps://bia.unibz.it/handle/10863/13346
dc.description.abstractIn this article we give an overview of first-hand experiences and starting points for best practices from projects in seven European countries dedicated to learner corpus research and the creation of language learner corpora. The corpora and tools involved in LCR are becoming more and more important, and the careful preparation and easy retrieval, and reusability of corpora and tools has likewise become more important. But with a lack of agreed solutions for many aspects of LCR, interoperability between learner corpora or exchanging data from different learner corpus projects is still challenging. We will illustrate how concepts like metadata, anonymization, error taxonomies and linguistic annotations, as well as tools, toolchains or data formats can individually pose challenges and how they might be solved.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.relation
dc.rightsPermission from the publisher to submit the post-print version.
dc.titleWorking together towards an ideal infrastructure for language learner corporaen_US
dc.typeArticleen_US
dc.date.updated2020-03-24T15:17:13Z
dc.language.isiEN-GB
dc.journal.titleCorpora and Language in Use
dc.description.fulltextreserveden_US


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