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Supporting Data for: AcqVA Aurora Theme 1 Test Article 2
Version 1.0
Minor, Sergey; Gharibi, Khadij, 2021, "Supporting Data for: AcqVA Aurora Theme 1 Test Article 2", https://doi.org/10.21337/TDAXV9, DataverseNO, V1
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Description
[Article abstract:] "AcqVA Aurora Theme 1 Test Article 2" investigates ... (2021-11-27)
[Dataset abstract:] This dataset contains replication data for "AcqVA Aurora Theme 1 Test Article 2" ... (2021-11-27)
Subject Arts and Humanities
Keyword multilingualism, vocabulary knowledge, Persian, English, French
Related Publication Khadij Gharibi & Seyed Hadi Mirvahedi (2021) ‘You are Iranian even if you were born on the moon’: family language policies of the Iranian diaspora in the UK, Journal of Multilingual and Multicultural Development, DOI: 10.1080/01434632.2021.1935974 doi: 10.1080/01434632.2021.1935974
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This dataset, "Supporting Data for: AcqVA Aurora Theme 1 Test Article 2", may be reused according to the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license as described here: https://creativecommons.org/licenses/by-nc-nd/4.0/.

The raw data annotated and enriched in the tabular file "annotated_data.csv" in this dataset, "Supporting Data for: AcqVA Aurora Theme 1 Test Article 2", has been obtained from the following source as described in the README file contained in this dataset:

The Russian National Corpus (RNC); available at https://ruscorpora.ru/; used under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Note: As confirmed by the Russian National Corpus (RNC; see the file "Terms_of_Use_for_the_Russian_National_Corpus.pdf" contained in this dataset), the NoDerivatives (ND) restriction of the CC BY-NC-ND 4.0 license of the Russian National Corpus (RNC) only applies to the actual text extracts from the RNC. This means that the text extracts as contained in the tabular file "08Database_num_agr_one_per_author" cannot be changed e.g. by combining them together to a coherent text (something which anyway won't be possible or desirable), but researchers will be allowed to integrate the TROLLing dataset as long as they do not change the RNC extracts.

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This dataset, "Supporting Data for: AcqVA Aurora Theme 1 Test Article 2", may be reused according to the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license as described here: https://creativecommons.org/licenses/by-nc-nd/4.0/.

The raw data annotated and enriched in the tabular file "annotated_data.csv" in this dataset, "Supporting Data for: AcqVA Aurora Theme 1 Test Article 2", has been obtained from the following source as described in the README file contained in this dataset:

The Russian National Corpus (RNC); available at https://ruscorpora.ru/; used under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Note: As confirmed by the Russian National Corpus (RNC; see the file "Terms_of_Use_for_the_Russian_National_Corpus.pdf" contained in this dataset), the NoDerivatives (ND) restriction of the CC BY-NC-ND 4.0 license of the Russian National Corpus (RNC) only applies to the actual text extracts from the RNC. This means that the text extracts as contained in the tabular file "08Database_num_agr_one_per_author" cannot be changed e.g. by combining them together to a coherent text (something which anyway won't be possible or desirable), but researchers will be allowed to integrate the TROLLing dataset as long as they do not change the RNC extracts.

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