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The role of morphological complexity in predicting the learnability of an additional language ... : The case of La (additional language) Dutch ...
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Dataset for: "Big data suggest strong constraints of linguistic similarity on adult language learning" ...
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Dataset for: "Big data suggest strong constraints of linguistic similarity on adult language learning" ...
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Abstract:
This dataset is adapted from raw data with fully anonymized results on the State Examination of Dutch as a Second Language. This exam is officially administred by the Board of Tests and Examinations (College voor Toetsen en Examens, or CvTE). See cvte.nl/about-cvte. The Board of Tests and Examinations is mandated by the Dutch government. The article accompanying the dataset: Schepens, Job, Roeland van Hout, and T. Florian Jaeger. “Big Data Suggest Strong Constraints of Linguistic Similarity on Adult Language Learning.” Cognition 194 (January 1, 2020): 104056. https://doi.org/10.1016/j.cognition.2019.104056. Every row in the dataset represents the first official testing score of a unique learner. The columns contain the following information as based on questionnaires filled in at the time of the exam: "L1" - The first language of the learner "C" - The country of birth "L1L2" - The combination of first and best additional language besides Dutch "L2" - The best additional language besides Dutch "AaA" - Age at ...
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Keyword:
Language testing; NT2; Speaking proficiency; State exam Dutch as a Second Language
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URL: https://dx.doi.org/10.5281/zenodo.2863533 https://zenodo.org/record/2863533
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Matching Acoustical Properties and Native Perceptual Assessments of L2 Speech
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In: Open Linguistics, Vol 4, Iss 1, Pp 199-226 (2018) (2018)
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