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Replication data for: Salience-simplification strategy for markedness of causal subordinators: “because” and “since” in argumentative essays
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Kang, Hui; Xu, Jiajin, 2022, "Replication data for: Salience-simplification strategy for markedness of causal subordinators: “because” and “since” in argumentative essays", https://doi.org/10.18710/RULYMP, DataverseNO, V1
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Dataset Terms

Please confirm and/or complete the information needed below in order to continue.

This dataset, "Replication data for: Salience-simplification strategy for markedness of causal subordinators: “because” and “since” in argumentative essays", may be reused according to the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license as described here: https://creativecommons.org/licenses/by-nc/4.0/.

This dataset contains statistical data obtained by analyzing texts from the following three corpora:

  • NESSIE Corpus. See: Xu, Jiajin. (2012). NESSIE Corpus 1st release (NESSIEv1): Native English Speakers' Similarly or Identically-prompted Essays 1st release. Beijing: National Research Centre for Foreign Language Education, Beijing Foreign Studies University. Available at http://corpus.bfsu.edu.cn/info/1070/1335.htm.
  • LOCNESS (the Louvain Corpus of Native English Essays). See: Granger, S. (1998). The computer learner corpus: A versatile new source of data for SLA research. In Granger, S. (ed.) Learner English on Computer. Addison Wesley Longman : London & New York, 3-18. Available at https://www.learnercorpusassociation.org/resources/tools/locness-corpus/.
  • BAWE (British Academic Written English). See: Nesi, Hilary; Gardner, Sheena; Thompson, Paul; et al., 2008, British Academic Written English Corpus, Oxford Text Archive, http://hdl.handle.net/20.500.12024/2539.

All three corpora can be used for non-commercial purposes only. The BAWE corpus is explicitly licensed under Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0).

In this dataset, "Replication data for: Salience-simplification strategy for markedness of causal subordinators: “because” and “since” in argumentative essays", the data file "pub-causalsubordinator.csv" contains statistical data / calculations based on texts contained in the three source corpora.

The file does not contain any coherent (parts of) utterances which the keywords were found in as all context was removed from the data file. The use of the three source corpora does thus not infringe the copyright of any right holders who have contributed to the corpora.

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This dataset, "Replication data for: Salience-simplification strategy for markedness of causal subordinators: “because” and “since” in argumentative essays", may be reused according to the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license as described here: https://creativecommons.org/licenses/by-nc/4.0/.

This dataset contains statistical data obtained by analyzing texts from the following three corpora:

  • NESSIE Corpus. See: Xu, Jiajin. (2012). NESSIE Corpus 1st release (NESSIEv1): Native English Speakers' Similarly or Identically-prompted Essays 1st release. Beijing: National Research Centre for Foreign Language Education, Beijing Foreign Studies University. Available at http://corpus.bfsu.edu.cn/info/1070/1335.htm.
  • LOCNESS (the Louvain Corpus of Native English Essays). See: Granger, S. (1998). The computer learner corpus: A versatile new source of data for SLA research. In Granger, S. (ed.) Learner English on Computer. Addison Wesley Longman : London & New York, 3-18. Available at https://www.learnercorpusassociation.org/resources/tools/locness-corpus/.
  • BAWE (British Academic Written English). See: Nesi, Hilary; Gardner, Sheena; Thompson, Paul; et al., 2008, British Academic Written English Corpus, Oxford Text Archive, http://hdl.handle.net/20.500.12024/2539.

All three corpora can be used for non-commercial purposes only. The BAWE corpus is explicitly licensed under Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0).

In this dataset, "Replication data for: Salience-simplification strategy for markedness of causal subordinators: “because” and “since” in argumentative essays", the data file "pub-causalsubordinator.csv" contains statistical data / calculations based on texts contained in the three source corpora.

The file does not contain any coherent (parts of) utterances which the keywords were found in as all context was removed from the data file. The use of the three source corpora does thus not infringe the copyright of any right holders who have contributed to the corpora.

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