Actually in contemporary British speech: Data from the Spoken BNC corpora (doi:10.18710/A3SATC)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Actually in contemporary British speech: Data from the Spoken BNC corpora

doi:10.18710/A3SATC

DataverseNO

2021-01-30

1

Sönning, Lukas; Krug, Manfred, 2021, "Actually in contemporary British speech: Data from the Spoken BNC corpora", https://doi.org/10.18710/A3SATC, DataverseNO, V1, UNF:6:S8E8T69mmiEVrGGC0XPIrg== [fileUNF]

Actually in contemporary British speech: Data from the Spoken BNC corpora

doi:10.18710/A3SATC

Sönning, Lukas (University of Bamberg)

Krug, Manfred (University of Bamberg)

Stich, Felicia

University of Bamberg

CQPweb

rcqp (R package)

DataverseNO

The Tromsø Repository of Language and Linguistics (TROLLing)

Sönning, Lukas

Sönning, Lukas

2021-01-15

https://doi.org/10.18710/A3SATC

Arts and Humanities, actually, grammaticalization, pragmaticalization, BNC, corpus data, spoken, frequency, position, discourse marker, English, British English

<p>This dataset contains tabular files with information about the usage of "actually" in contemporary British speech. We draw on two spoken corpora: (i) The demographically sampled part of the Spoken BNC1994 (Crowdy 1995) and (ii) the Spoken BNC2014 (Love et al. 2017). For both corpora, we list the usage rate observed for each speaker (total number of words produced, number of actually tokens, normalized frequency of actually expressed as per million words), along with information about the sex and age of the informant. In total, the dataset includes n = 1,408 speakers (Spoken BNC1994DS) and n = 668 speakers (Spoken BNC2014). For each corpus, we offer data tables with additional speaker meta-data. For a subset of the Spoken BNC1994DS (speakers with available information on gender and age; n = 886 speakers; n = 2,688 tokens), we also report on the position of actually in the clause (initial, medial, final), which was annotated manually.</p> <p></p> <p>Related publication: Sönning, Lukas & Manfred Krug. 2022. Comparing study designs and down-sampling strategies in corpus analysis: The importance of speaker metadata in the BNCs of 1994 and 2014. In Ole Schützler & Julia Schlüter (eds.), Data and methods in corpus linguistics: Comparative approaches, 127-159. Cambridge: Cambridge University Press. <a href="https://doi.org/10.1017/9781108589314.006" title="DOI" target="_blank">https://doi.org/10.1017/9781108589314.006</a></p>

1991-19932012-2016

1991-19932012-2016

United Kingdom

corpus data

observational data

[BNC1994]: The British National Corpus, version 3 (BNC XML Edition). 2007. Distributed by Bodleian Libraries, University of Oxford, on behalf of the BNC Consortium. URL: <a href="http://www.natcorp.ox.ac.uk/" title="BNC" target="_blank">http://www.natcorp.ox.ac.uk/</a>.

[Spoken BNC2014]: Love, Robbie, Claire Dembry, Andrew Hardie, Vaclav Brezina & Tony McEnery. 2017. The Spoken BNC2014: Designing and building a spoken corpus of everyday conversations. International Journal of Corpus Linguistics, 22(3), 319–344.

<p>In the file "actually_data_1994_position.csv", the contents of the columns "left_context" and "right_context" are extracts from the British National Corpus (XML edition; <a href="http://www.natcorp.ox.ac.uk/" title="BNC" target="_blank">http://www.natcorp.ox.ac.uk/</a>). The BNC User Licence (cf. <a href="http://www.natcorp.ox.ac.uk/docs/licence.html" title="BNC User Licence" target="_blank">http://www.natcorp.ox.ac.uk/docs/licence.html</a>) states that the use of such extracts is only licensed under the fair dealings provision of UK Copyright Law (cf. <a href="https://www.gov.uk/guidance/exceptions-to-copyright#fair-dealing" title="UK Copyright Law" target="_blank">https://www.gov.uk/guidance/exceptions-to-copyright#fair-dealing</a>).</p> <p></p> <p>According to UK Copyright Law (cf. <a href="https://www.gov.uk/guidance/exceptions-to-copyright#fair-dealing" title="BNC" target="_blank">https://www.gov.uk/guidance/exceptions-to-copyright#fair-dealing</a>), “[f]actors that have been identified by the courts as relevant in determining whether a particular dealing with a work is fair include: <ul> <li>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</li> <li>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”</li> </ul> <p></p> The extracts used in this present dataset may be said to represent fair dealing according to both these factors: <ul> <li>The extracted material does not affect the market for the original work, as it is unlikely that any researcher would refrain from using the BNC because of the availability of the extracted material contained in the present dataset.</li> <li>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 represent more than brief citations (single sentences, for example) from the corpus, and thus does not infringe the copyright of the original IPR holders.</li> </ul></p>

Sönning, Lukas & Manfred Krug. 2022. Comparing study designs and down-sampling strategies in corpus analysis: The importance of speaker metadata in the BNCs of 1994 and 2014. In Ole Schützler & Julia Schlüter (eds.), Data and methods in corpus linguistics: Comparative approaches, 127-159. Cambridge: Cambridge University Press. doi:10.1017/9781108589314

10.1017/9781108589314.006

Sönning, Lukas & Manfred Krug. 2022. Comparing study designs and down-sampling strategies in corpus analysis: The importance of speaker metadata in the BNCs of 1994 and 2014. In Ole Schützler & Julia Schlüter (eds.), Data and methods in corpus linguistics: Comparative approaches, 127-159. Cambridge: Cambridge University Press. doi:10.1017/9781108589314

• Number of cases: 1408

• No. of variables per record: 8

• Type of File: text/tab-separated-values

UNF:6:JkxhHT/73pTRKCUE/NVqgw==

• Number of cases: 2688

• No. of variables per record: 12

• Type of File: text/tab-separated-values

UNF:6:8XO1y870BWH4DwgOu9UCGA==

• Number of cases: 668

• No. of variables per record: 7

• Type of File: text/tab-separated-values

UNF:6:NGpek+oF5WbD+YYyOZLk1A==

• u_who - u_who
• u_age_group - u_age_group
• u_sex - u_sex
• u_age - u_age
• u_n_words - u_n_words
• u_n_tokens - u_n_tokens
• age_bins - age_bins
• count - count
• text_id - text_id
• u_who - u_who
• u_age_group - u_age_group
• u_sex - u_sex
• u_age - u_age
• u_n_words - u_n_words
• u_n_tokens - u_n_tokens
• left_context - left_context
• query_item - query_item
• right_context - right_context
• position - position
• comment - comment
• speaker - speaker
• count - count
• Exact_age - Exact_age
• Age_range - Age_range
• Gender - Gender
• total - total
• age_bins - age_bins

f87508 Location:

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f87508 Location:

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f87508 Location:

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f87508 Location:

Variable Format: character

Notes: UNF:6:rKx/enKuSyNHKcc16qHLQA==

f87508 Location:

Summary Statistics: Max. 68676.0; StDev 6207.546547408033; Mean 2987.1875; Valid 1408.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:7VYiH50XZCO25IyVSVGgYA==

f87508 Location:

Summary Statistics: StDev 7303.660383484829; Max. 80886.0; Min. 1.0; Valid 1408.0; Mean 3561.544744318186

Variable Format: numeric

Notes: UNF:6:vdjsZndGzw3SfMXFdSzDLA==

f87508 Location:

Variable Format: character

Notes: UNF:6:a4O0CeqB5J6cbEt2VfDLfg==

f87508 Location:

Summary Statistics: Max. 74.0; Mean 2.3508522727272685; StDev 6.052757803448164; Min. 0.0; Valid 1408.0

Variable Format: numeric

Notes: UNF:6:5e33DjWx5vBnWTMzDhMpwQ==

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Variable Format: character

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f87522 Location:

Variable Format: character

Notes: UNF:6:Rt2jvCJoNX8FOYkhdZmKsg==

f87522 Location:

Summary Statistics: Valid 2688.0; Max. 68676.0; Min. 132.0; Mean 16253.7046130953; StDev 14755.572488870326;

Variable Format: numeric

Notes: UNF:6:DaY6eJrWzrsDsPgjb2pxwg==

f87522 Location:

Summary Statistics: Valid 2688.0; Min. 161.0; Mean 19156.15141369055; StDev 17214.630635794252; Max. 80886.0

Variable Format: numeric

Notes: UNF:6:Fus9SYB8ZLlCzCyYUhFXfw==

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f87511 Location:

Variable Format: character

Notes: UNF:6:bsdLxS1Xr2f9f3Tq1124oA==

f87511 Location:

Summary Statistics: Mean 26.149700598802404; Valid 668.0; StDev 62.22801123464477; Max. 600.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:IonPlR0+orF+hyWtOPVtPw==

f87511 Location:

Summary Statistics: StDev 20.159236143987037; Min. 2.0; Mean 39.8939393939394; Max. 91.0; Valid 528.0

Variable Format: numeric

Notes: UNF:6:y/6FPXadf59goUvJsAgzzw==

f87511 Location:

Variable Format: character

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f87511 Location:

Variable Format: character

Notes: UNF:6:6h4jsXwf3Khl2uipbNQ42Q==

f87511 Location:

Summary Statistics: Max. 362107.0; Valid 668.0; StDev 34445.3470944488; Mean 17010.190119760486; Min. 19.0

Variable Format: numeric

Notes: UNF:6:3SlGNGgkBuiC7/SOAkXY9A==

f87511 Location:

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Label:

00_ReadMe_actually.txt

text/plain

Label:

data_retrieval_1994.html

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data_retrieval_1994.Rmd

application/octet-stream

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data_retrieval_actually_2014.html

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data_retrieval_actually_2014.Rmd

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data_retrieval_speaker_biodata_2014.html

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data_retrieval_speaker_biodata_2014.Rmd

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