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3,291 to 3,300 of 11,020 Results
Plain Text - 708.1 KB - MD5: 5181dff8edc3cd1b6b0c431339c5f5f0
concordance
ung-nominals in the Mainz Early New High German corpus
Unknown - 605.7 KB - MD5: 39810bf276a7bca547becece5fd56feb
concordance (Excel)
ung-nominals in the Mainz Early New High German corpus
Plain Text - 1.7 MB - MD5: e5d914a60fcff18f80301a530a2c55bc
concordance
ung-nominals in the GerManC corpus (minor corrections 04/04/2016 - most special characters should now be displayed correctly)
Unknown - 1.3 MB - MD5: 5baa608ad9c3b982b89303e56a4d9e1e
concordance
ung-nominals in the GerManC corpus
Unknown - 1.5 MB - MD5: 465b41e40c04e3ebfc6488d7314fa9a3
concordance (Excel)
Verb stem conversions in the GerManC corpus
Plain Text - 1.0 MB - MD5: d003edcd38dab600a7a35891d32e30ee
concordance
Verb stem conversions in the GerManC corpus
Jun 30, 2023
Verbeke, Gil; Simon, Ellen, 2023, "Replication Data for: Listening to Accents: Comprehensibility, accentedness and intelligibility of native and non-native English speech", https://doi.org/10.18710/8F0Q0L, DataverseNO, V1
Dataset abstract This dataset contains the results from 33 Flemish English as a Foreign Language (EFL) learners, who were exposed to eight native and non-native accents of English. These participants completed (i) a comprehensibility and accentedness rating task, followed by (ii) an orthographic transcription task. In the first task, listeners were...
Plain Text - 39.1 KB - MD5: 76a8c7a4bb8e44424c9d541158c5ed5a
README file with general and methodological information about the study, as well as an overview of the data and files.
Adobe PDF - 216.6 KB - MD5: 54c8eb10cc4a6c3e361d6f83dfed81d0
Assessment of whether the open publication of this dataset is in line with applicable legal regulations and research-ethical guidelines.
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