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South African Multilingual Learner Corpus of Academic Texts (SAMuLCAT) version 2023-03

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dc.contact.emailTobie.vanDyk@nwu.ac.zaen_ZA
dc.contact.nameTobie van Dyken_ZA
dc.contributor.authorVan Dyk, Tobie
dc.date.accessioned2023-05-04T12:59:24Z
dc.date.available2023-05-04T12:59:24Z
dc.date.issued2023-03
dc.descriptionThe South African Multilingual Learner Corpus of Academic Texts (SAMuLCAT) is a multi-genre, multi-level learner corpus developed by the Inter-institutional Centre for Language Development and Assessment (ICELDA) in collaboration with the South African Centre for Digital Language Resources (SADiLaR). This corpus includes shorter and longer pieces of texts, from an array of genres, different fields of study, and at all levels of study. The corpus was, and continues to be, contributed to by several institutions of higher education that are part of the ICELDA network. Ethical clearance has been granted at all partnering institutions to collect data; this includes informed consent by all students who contributed to SAMULCAT. The corpus is augmented by two sets of metadata. The first set includes mainly biographical detail about students (completed by students themselves); the second set includes more information on different task types and texts included in the corpus (completed by e.g. lecturers, writing centre staff, etc.). Data can be filtered through the metadata filters available in the search functionality of the corpus. The corpus is available under the Attribution 4.0 International (CC BY 4.0) license and is open source. More information about the design of the corpus and metadata available in the corpus can be found in the following article: Carstens, A. and Eiselen, R., 2019. Designing a South African multilingual learner corpus of academic texts (SAMuLCAT). Language Matters, 50(1), pp.64-83. The Afrikaans part of the corpus is automatically annotated for lemmas and part of speech using the available NCHLT Text lemmatisers and part of speech taggers. Additional information is available here: https://hlt.nwu.ac.za/about No quality control of the automatic annotations was performed. The English data is annotated using the open-source NLP4J library available here: https://emorynlp.github.io/nlp4j/ DISCLAIMER: For a description of SADiLaR's privacy stance and practices, please see the privacy statement: https://sadilar.org/index.php/en/394-privacy-statementen_ZA
dc.formatXSLXen_ZA
dc.format.size11Mben_ZA
dc.identifier.urihttps://hdl.handle.net/20.500.12185/585
dc.languagesAfrikaansen_ZA
dc.languagesEnglishen_ZA
dc.media.typeTexten_ZA
dc.publisherICELDAen_ZA
dc.publisherSADiLaRen_ZA
dc.rights.licenseResearch onlyen_ZA
dc.subjectLearner Corpusen_ZA
dc.subjectL2en_ZA
dc.subjectmulti-genreen_ZA
dc.titleSouth African Multilingual Learner Corpus of Academic Texts (SAMuLCAT) version 2023-03en_ZA
dc.version2023-03en_ZA

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