1,831 to 1,840 of 5,205 Results
Mar 17, 2023
Ponnet, Aaricia; De Cuypere, Ludovic, 2023, "Replication Data for: The acquisition of Hindi split-ergativity and Differential Object Marking by Dutch L1 speakers: systematicity and variation", https://doi.org/10.18710/3YWQ8R, DataverseNO, V1
Dataset abstract The dataset includes annotated corpus data of N = 1811 utterances based on a picture description task that elicited semi-spontaneous oral production data from 15 Dutch learners of Hindi, from four (cross-sectional) stages (Years) of the Hindi course trajectory. The corpus data is annotated for (i) Learner, (ii) Year of study of the... |
Plain Text - 9.8 KB -
MD5: 72129864495010d3d506e7256be96da5
|
HTML - 216.3 KB -
MD5: bac1e66859852e7a57423648b401e7db
This is an html file with the R code and the output of the statistical data analysis. |
Unknown - 19.2 KB -
MD5: cd4603353bdf4ff1d9d88cebad23e1f5
R notebook with the full data analysis |
Comma Separated Values - 100.8 KB -
MD5: 47371612025a29a2edaa0fe7e6f1c239
data file in .csv-format with ";" as separator ("na" indicates missing value). |
Adobe PDF - 683.2 KB -
MD5: de86fb5370f070fb58febea83ffaec74
pdf file with utterances |
Plain Text - 201.4 KB -
MD5: 602b2666c22b1570f038a877a826eb05
txt file with utterances |
Adobe PDF - 245.8 KB -
MD5: 895426abd33817b3d1c8eb81b3162683
an assessment of whether the open publication of the dataset is aligned with applicable legal and research-ethical rules and guidelines |
Mar 9, 2023
Mykhaylyk, Roksolana; Rodina, Yulia; Anderssen, Merete, 2023, "Replication Data for: Ditransitive constructions in Russian and Ukrainian", https://doi.org/10.18710/YKZBMR, DataverseNO, V1
Publication abstract: This paper presents new experimental data on the acquisition of structures involving ditransitive verbs in two East Slavic languages: Russian and Ukrainian. The results of an elicited production task with adults and 3-6-year-old children show that the ordering of the two object arguments (DPdat and DPacc) is conditioned by the... |
Plain Text - 3.6 KB -
MD5: ecc191014bd645e85eda8cb4389e28a7
R file with statistical analysis |
