On the term ‘text’ in digital humanities.

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Title: On the term ‘text’ in digital humanities.
Authors: Caton, Paul1
Source: Literary & Linguistic Computing. Jun2013, Vol. 28 Issue 2, p209-220. 12p. 2 Black and White Photographs.
Subjects: Digital humanities, Text Encoding Initiative (Document type definition), Electronic information resources, Language & languages, Nouns
Abstract: In digital humanities, within a core semantic scope, the term ‘text’ occurs ubiquitously, with both mass and count noun senses. This article sets out to define the relationship between the two senses—between some text and a text—and in particular to say what makes a text discrete. Three characteristics of a scholarly edition (considered the normative instance of a countable text) are isolated and discussed in relation to several marginal cases. I conclude that two of them—the representation of language and intent to communicate—give us text in the mass sense. Examining the third characteristic—that the communication be complete within its bounds—it becomes clear that it is impossible to say that an entity is intrinsically a text because the count noun sense of text is—as Renear and Dubin assert about three of the four Functional Requirements for Bibliographic Records Group 1 entity types—a role, not a type. [ABSTRACT FROM AUTHOR]
Copyright of Literary & Linguistic Computing is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: On the term ‘text’ in digital humanities.
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  Data: <searchLink fieldCode="JN" term="%22Literary+%26+Linguistic+Computing%22">Literary & Linguistic Computing</searchLink>. Jun2013, Vol. 28 Issue 2, p209-220. 12p. 2 Black and White Photographs.
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  Data: <searchLink fieldCode="DE" term="%22Digital+humanities%22">Digital humanities</searchLink><br /><searchLink fieldCode="DE" term="%22Text+Encoding+Initiative+%28Document+type+definition%29%22">Text Encoding Initiative (Document type definition)</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+information+resources%22">Electronic information resources</searchLink><br /><searchLink fieldCode="DE" term="%22Language+%26+languages%22">Language & languages</searchLink><br /><searchLink fieldCode="DE" term="%22Nouns%22">Nouns</searchLink>
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  Label: Abstract
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  Data: In digital humanities, within a core semantic scope, the term ‘text’ occurs ubiquitously, with both mass and count noun senses. This article sets out to define the relationship between the two senses—between some text and a text—and in particular to say what makes a text discrete. Three characteristics of a scholarly edition (considered the normative instance of a countable text) are isolated and discussed in relation to several marginal cases. I conclude that two of them—the representation of language and intent to communicate—give us text in the mass sense. Examining the third characteristic—that the communication be complete within its bounds—it becomes clear that it is impossible to say that an entity is intrinsically a text because the count noun sense of text is—as Renear and Dubin assert about three of the four Functional Requirements for Bibliographic Records Group 1 entity types—a role, not a type. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Literary & Linguistic Computing is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1093/llc/fqt001
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 209
    Subjects:
      – SubjectFull: Digital humanities
        Type: general
      – SubjectFull: Text Encoding Initiative (Document type definition)
        Type: general
      – SubjectFull: Electronic information resources
        Type: general
      – SubjectFull: Language & languages
        Type: general
      – SubjectFull: Nouns
        Type: general
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      – TitleFull: On the term ‘text’ in digital humanities.
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              M: 06
              Text: Jun2013
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              Y: 2013
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