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Slavery and Britain in the 19th century

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Slavery and Britain in the 19th century. / McEnery, Anthony; Baker, Helen; Brezina, Vaclav.
Time in Languages, Languages in Time. ed. / Anna Čermáková ; Thomas Egan; Hilde Hasselgård; Sylvi Rørvik. Amsterdam: John Benjamins, 2021. p. 9-38 (Studies in Corpus Linguistics; Vol. 101).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

McEnery, A, Baker, H & Brezina, V 2021, Slavery and Britain in the 19th century. in A Čermáková , T Egan, H Hasselgård & S Rørvik (eds), Time in Languages, Languages in Time. Studies in Corpus Linguistics, vol. 101, John Benjamins, Amsterdam, pp. 9-38. https://doi.org/10.1075/scl.101.02mce

APA

McEnery, A., Baker, H., & Brezina, V. (2021). Slavery and Britain in the 19th century. In A. Čermáková , T. Egan, H. Hasselgård, & S. Rørvik (Eds.), Time in Languages, Languages in Time (pp. 9-38). (Studies in Corpus Linguistics; Vol. 101). John Benjamins. https://doi.org/10.1075/scl.101.02mce

Vancouver

McEnery A, Baker H, Brezina V. Slavery and Britain in the 19th century. In Čermáková A, Egan T, Hasselgård H, Rørvik S, editors, Time in Languages, Languages in Time. Amsterdam: John Benjamins. 2021. p. 9-38. (Studies in Corpus Linguistics). doi: 10.1075/scl.101.02mce

Author

McEnery, Anthony ; Baker, Helen ; Brezina, Vaclav. / Slavery and Britain in the 19th century. Time in Languages, Languages in Time. editor / Anna Čermáková ; Thomas Egan ; Hilde Hasselgård ; Sylvi Rørvik. Amsterdam : John Benjamins, 2021. pp. 9-38 (Studies in Corpus Linguistics).

Bibtex

@inbook{2961446fc8614b09adf71aae8e611818,
title = "Slavery and Britain in the 19th century",
abstract = "This study uses a corpus of just under two billion words from one nineteenth-century British newspapers, the Liverpool Mercury, to explore shifting attitudes to slavery in Britain in the nineteenth century in the context of a port city that benefitted from the trade. In doing so, explore three methodological issues –how to explore concepts in large corpora, how to do this over time and how to deal with poor quality data. Our approach to the study of concepts through time uses a new approach to looking at word usage change over time, Usage Fluctuation Analysis (McEnery, Brezina and Baker, 2019). Our exploration of the issue of poor quality data is motivated by the variable quality of the OCR texts which constitute our nineteenth-century newspaper corpus data. Problems in data quality bedevil work on large scale text collections of historic material. In this paper we will show that collocation, the core technique of UFA, can be used on such data if appropriate settings are chosen that minimise the problems arising from poor quality electronic text, permitting the exploration of corpus data at scale.",
keywords = "corpus analysis, historical discourse analysis, slavery, Liverpool, news discourse",
author = "Anthony McEnery and Helen Baker and Vaclav Brezina",
year = "2021",
month = sep,
day = "5",
doi = "10.1075/scl.101.02mce",
language = "English",
isbn = "9789027209689",
series = "Studies in Corpus Linguistics",
publisher = "John Benjamins",
pages = "9--38",
editor = "{{\v C}erm{\'a}kov{\'a} }, { Anna} and Egan, {Thomas } and Hilde Hasselg{\aa}rd and Sylvi R{\o}rvik",
booktitle = "Time in Languages, Languages in Time",

}

RIS

TY - CHAP

T1 - Slavery and Britain in the 19th century

AU - McEnery, Anthony

AU - Baker, Helen

AU - Brezina, Vaclav

PY - 2021/9/5

Y1 - 2021/9/5

N2 - This study uses a corpus of just under two billion words from one nineteenth-century British newspapers, the Liverpool Mercury, to explore shifting attitudes to slavery in Britain in the nineteenth century in the context of a port city that benefitted from the trade. In doing so, explore three methodological issues –how to explore concepts in large corpora, how to do this over time and how to deal with poor quality data. Our approach to the study of concepts through time uses a new approach to looking at word usage change over time, Usage Fluctuation Analysis (McEnery, Brezina and Baker, 2019). Our exploration of the issue of poor quality data is motivated by the variable quality of the OCR texts which constitute our nineteenth-century newspaper corpus data. Problems in data quality bedevil work on large scale text collections of historic material. In this paper we will show that collocation, the core technique of UFA, can be used on such data if appropriate settings are chosen that minimise the problems arising from poor quality electronic text, permitting the exploration of corpus data at scale.

AB - This study uses a corpus of just under two billion words from one nineteenth-century British newspapers, the Liverpool Mercury, to explore shifting attitudes to slavery in Britain in the nineteenth century in the context of a port city that benefitted from the trade. In doing so, explore three methodological issues –how to explore concepts in large corpora, how to do this over time and how to deal with poor quality data. Our approach to the study of concepts through time uses a new approach to looking at word usage change over time, Usage Fluctuation Analysis (McEnery, Brezina and Baker, 2019). Our exploration of the issue of poor quality data is motivated by the variable quality of the OCR texts which constitute our nineteenth-century newspaper corpus data. Problems in data quality bedevil work on large scale text collections of historic material. In this paper we will show that collocation, the core technique of UFA, can be used on such data if appropriate settings are chosen that minimise the problems arising from poor quality electronic text, permitting the exploration of corpus data at scale.

KW - corpus analysis

KW - historical discourse analysis

KW - slavery

KW - Liverpool

KW - news discourse

U2 - 10.1075/scl.101.02mce

DO - 10.1075/scl.101.02mce

M3 - Chapter (peer-reviewed)

SN - 9789027209689

T3 - Studies in Corpus Linguistics

SP - 9

EP - 38

BT - Time in Languages, Languages in Time

A2 - Čermáková , Anna

A2 - Egan, Thomas

A2 - Hasselgård, Hilde

A2 - Rørvik, Sylvi

PB - John Benjamins

CY - Amsterdam

ER -