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A critical look at software tools in corpus linguistics

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A critical look at software tools in corpus linguistics. / Anthony, Laurence.
In: Linguistic Research, Vol. 30, No. 2, 2013, p. 141-161.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Anthony, L 2013, 'A critical look at software tools in corpus linguistics', Linguistic Research, vol. 30, no. 2, pp. 141-161. https://doi.org/10.17250/khisli.30.2.201308.001

APA

Anthony, L. (2013). A critical look at software tools in corpus linguistics. Linguistic Research, 30(2), 141-161. https://doi.org/10.17250/khisli.30.2.201308.001

Vancouver

Anthony L. A critical look at software tools in corpus linguistics. Linguistic Research. 2013;30(2):141-161. doi: 10.17250/khisli.30.2.201308.001

Author

Anthony, Laurence. / A critical look at software tools in corpus linguistics. In: Linguistic Research. 2013 ; Vol. 30, No. 2. pp. 141-161.

Bibtex

@article{19ee6404aeb14cb9b44f27ea310c4b7a,
title = "A critical look at software tools in corpus linguistics",
abstract = "Corpora are often referred to as the {\textquoteleft}tools{\textquoteright} of corpus linguistics. However, it is important to recognize that corpora are simply linguistic data and that specialized software tools are required to view and analyze them. The functionality offered by software tools largely dictates what corpus linguistics research methods are available to a researcher, and hence, the design of tools will become an increasingly important factor as corpora become larger and the statistical analysis of linguistic data becomes increasingly complex. In this paper, I will first discuss how separating the data from the tools resolves various issues that are hotly debated within the field. Next, I will offer a critical look at the development of four generations of corpus tools, discussing their strengths and weaknesses. Then, I will discuss the role of programming in corpus linguistics tools creation and present a model for the development of future corpus tools. Finally, I will show a real-world example of a next-generation corpus tool that was developed for use in language learning. ",
keywords = "corpus linguistics, future, history, programing, software tools",
author = "Laurence Anthony",
year = "2013",
doi = "10.17250/khisli.30.2.201308.001",
language = "English",
volume = "30",
pages = "141--161",
journal = "Linguistic Research",
publisher = "Institute for the Study of Language and Information, Kyung Hee University",
number = "2",

}

RIS

TY - JOUR

T1 - A critical look at software tools in corpus linguistics

AU - Anthony, Laurence

PY - 2013

Y1 - 2013

N2 - Corpora are often referred to as the ‘tools’ of corpus linguistics. However, it is important to recognize that corpora are simply linguistic data and that specialized software tools are required to view and analyze them. The functionality offered by software tools largely dictates what corpus linguistics research methods are available to a researcher, and hence, the design of tools will become an increasingly important factor as corpora become larger and the statistical analysis of linguistic data becomes increasingly complex. In this paper, I will first discuss how separating the data from the tools resolves various issues that are hotly debated within the field. Next, I will offer a critical look at the development of four generations of corpus tools, discussing their strengths and weaknesses. Then, I will discuss the role of programming in corpus linguistics tools creation and present a model for the development of future corpus tools. Finally, I will show a real-world example of a next-generation corpus tool that was developed for use in language learning.

AB - Corpora are often referred to as the ‘tools’ of corpus linguistics. However, it is important to recognize that corpora are simply linguistic data and that specialized software tools are required to view and analyze them. The functionality offered by software tools largely dictates what corpus linguistics research methods are available to a researcher, and hence, the design of tools will become an increasingly important factor as corpora become larger and the statistical analysis of linguistic data becomes increasingly complex. In this paper, I will first discuss how separating the data from the tools resolves various issues that are hotly debated within the field. Next, I will offer a critical look at the development of four generations of corpus tools, discussing their strengths and weaknesses. Then, I will discuss the role of programming in corpus linguistics tools creation and present a model for the development of future corpus tools. Finally, I will show a real-world example of a next-generation corpus tool that was developed for use in language learning.

KW - corpus linguistics

KW - future

KW - history

KW - programing

KW - software tools

U2 - 10.17250/khisli.30.2.201308.001

DO - 10.17250/khisli.30.2.201308.001

M3 - Journal article

VL - 30

SP - 141

EP - 161

JO - Linguistic Research

JF - Linguistic Research

IS - 2

ER -