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Linguistics in the digital humanities: (computational) corpus linguistics

Authors: Jensen, Kim Ebensgaard;

Linguistics in the digital humanities: (computational) corpus linguistics

Abstract

Corpus linguistics has been closely intertwined with digital technology since the introduction of university computer mainframes in the 1960s. Making use of both digitized data in the form of the language corpus and computational methods of analysis involving concordancers and statistics software, corpus linguistics arguably has a place in the digital humanities. Still, it remains obscure and fi gures only sporadically in the literature on the digital humanities. Th is article provides an overview of the main principles of corpus linguistics and the role of computer technology in relation to data and method and also off ers a bird's-eye view of the history of corpus linguistics with a focus on its intimate relationship with digital technology and how digital technology has impacted the very core of corpus linguistics and shaped the identity of the corpus linguist. Ultimately, the article is oriented towards an acknowledgment of corpus linguistics' alignment with the digital humanities.

Keywords

corpora, democratization of information, computational linguistics, interdisciplinarity, computer corpus, copyright issues, Digital humanities, computers are dumb, computational tools in linguistic analysis, Communication. Mass media, linguistics, methodology, P87-96, automatic annotation, data, history of corpus linguistics, methods in the humanities, method, digital humanities, databases, corpus linguistics, concordancers, digital databases, digital methodology, computers, democratization of knowledge, interdisciplinarity in the humanities, digital methods, digital data, concordancer, /dk/atira/pure/core/keywords/FacultyOfHumanities, corpus design, metadata, machine-readability, corpus annotation, humanities, methodology in the humanities, CD-ROM, digitization, primary data, KWIC, Faculty of Humanities, data in the humanities, computers are smart

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
Green
Published in a Diamond OA journal