Concessive constructions in varieties of English: Corpus data

Version 1.1
Schützler, Ole, 2021, "Concessive constructions in varieties of English: Corpus data", https://doi.org/10.18710/1JMFVR, DataverseNO, V1, UNF:6:k6AMMtco75+K1XeD1lppig== [fileUNF]
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Description
The data were used in a corpus-based study that investigates the variation of concessive constructions across nine varieties of English. Concessive constructions are here taken to consist of a subordinate clause linked to a matrix clause using one of the three subordinating conjunctions 'although', 'though' or 'even though'. For each occurrence, the data contain information concerning its semantic properties, the position of the subordinate clause, the conjunction that was used, the finite or nonfinite status of the subordinate clause as well as its length. Further, each token is annotated for variety, mode of production (spoken vs. written) and genre (or text type). It is also possible to model the text frequencies of conjunctions and semantic subtypes, since in the respective data tables counts are given for each text in the corpora, along with the total word count per text. (2021-01-20)
Subject Arts and Humanities
Keyword Corpus linguistics, Concessives, English, Subordinating conjunctions
Related Publication Schützler, Ole. Monograph in preparation for publication. Concessive constructions in varieties of English.
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00_ReadMe_ConcessiveConstructionsInVarietiesOfEnglish_CorpusData.txt
Plain Text - 13.2 KB
Published Feb 11, 2021
52 Downloads
MD5: 34b89346ee1bf329ea24d1ba5de24adf
Preview "00_ReadMe_ConcessiveConstructionsInVarietiesOfEnglish_CorpusData.txt"
concessives_1.tab
Tabular Data - 732.8 KB
Published Feb 11, 2021
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1 Variables, 14706 Observations UNF:6:ZuBmhLdPzTzxnocilg5WGA==
Data table for analysing the text frequencies of concessive subordinators
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concessives_2.tab
Tabular Data - 979.0 KB
Published Feb 11, 2021
23 Downloads
1 Variables, 19608 Observations UNF:6:cw5gFYBp4KI+JnbgjeuIxw==
Data table for analysing the text frequencies of semantic subtypes of concessives
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concessives_3.tab
Tabular Data - 307.3 KB
Published Feb 11, 2021
32 Downloads
1 Variables, 3502 Observations UNF:6:kjawSLGCejOa7fMyHONKmw==
Data table for analysing the constructional variation of concessives (clause positions, selection of conjunction, finite vs. nonfinite clauses)
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Corpus_licences.pdf
Corpus_licences.pdf
Adobe PDF - 302.6 KB
Published Feb 11, 2021
24 Downloads
MD5: 5f9e2eb7acb9e2a35888e0408adad7d4
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This dataset, "Concessive constructions in varieties of English: Corpus data", 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 data from the International Corpus of English (ICE). The ICE license (cf. https://www.ice-corpora.uzh.ch/dam/jcr:7ae594b2-ee97-4935-8022-7d2d91b60be4/ICElicence_UZH.pdf) and the file "Corpus_licences.pdf") includes the following conditions:

  • “The Corpus must be used for non-profit academic research purposes only. […] The Licensee agrees not to reproduce or redistribute the Corpus or to use all or any part of the Corpus texts in any commercial product or service.”
  • “Publications based on the Corpus may include citations from texts only in a way which would be permitted under the fair dealings provision of copyright law.”
  • “If you publish a paper using any ICE corpus, please send a reference to ice@es.uzh.ch.”

In this dataset, "Concessive constructions in varieties of English: Corpus data", the data files “concessives_1.csv”, “concessives_2.csv”, and “concessives_3.csv” contain statistical data / calculations based on nine national components of the ICE. In addition, the files contain

  • the keywords which the ICE was searched for, and for each token
  • the genre indication used in ICE, and
  • the unique alpha-numeric identifier used in ICE.

However, the files do not contain any coherent (parts of) utterances which the keywords were found in as all context was removed from the data files.

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  • "does using the work affect the market for the original work? If a use of a work acts as a substitute for it, causing the owner to lose revenue, then it is not likely to be fair"
  • "is the amount of the work taken reasonable and appropriate? Was it necessary to use the amount that was taken? Usually only part of a work may be used”

The extracts used in this present dataset may be said to represent fair dealing according to both these factors:

  • The extracted material does not affect the market for the original work, as it is unlikely that any researcher would refrain from using the ICE because of the availability of the extracted material contained in the present dataset.
  • The amount of the extracted work is reasonable and appropriate as it was necessary to carry out the study, and as it is necessary to replicate the study. Also, the extracted material does not even contain the context for the keywords, and publishing the data files does therefore not infringe the copyright of the original IPR holders.

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