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Linguistics and Information Science.

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Title: Linguistics and Information Science.
Authors: Montgomery, Christine A.1
Source: Journal of the American Society for Information Science. May/Jun1972, Vol. 23 Issue 3, p195-219. 25p.
Subjects: Linguistics, Information science, Computational linguistics, Natural language processing, Indexers, Content analysis
Abstract: This paper defines the relationship between linguistics and information science in terms of a common interest in natural language. The notion of automated processing of natural language-i.e., machine simulation of the language processing activities of a human-provides novel possibilities for interaction between linguists, who have a theoretical interest in such activities, and information scientists, who have more practical goals, e.g. simulating the language processing activities of an indexer with a machine. The concept of a natural language information system is introduced as a framework for reviewing automated language processing efforts by computational linguists and information scientists. In terms of this framework, the former have concentrated on automating the operations of the component for content analysis and representation, while the latter have emphasized the data management component. The complementary nature of these developments allows the postulation of an integrated approach to automated language processing. This approach, which is outlined in the final sections of the paper, incorporates current notions in linguistic theory and information science, as well as design features of recent computational linguistic models. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell 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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Header DbId: egs
DbLabel: Engineering Source
An: 16748012
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Linguistics and Information Science.
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  Data: <searchLink fieldCode="AR" term="%22Montgomery%2C+Christine+A%2E%22">Montgomery, Christine A.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science%22">Journal of the American Society for Information Science</searchLink>. May/Jun1972, Vol. 23 Issue 3, p195-219. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Linguistics%22">Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+linguistics%22">Computational linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Indexers%22">Indexers</searchLink><br /><searchLink fieldCode="DE" term="%22Content+analysis%22">Content analysis</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: This paper defines the relationship between linguistics and information science in terms of a common interest in natural language. The notion of automated processing of natural language-i.e., machine simulation of the language processing activities of a human-provides novel possibilities for interaction between linguists, who have a theoretical interest in such activities, and information scientists, who have more practical goals, e.g. simulating the language processing activities of an indexer with a machine. The concept of a natural language information system is introduced as a framework for reviewing automated language processing efforts by computational linguists and information scientists. In terms of this framework, the former have concentrated on automating the operations of the component for content analysis and representation, while the latter have emphasized the data management component. The complementary nature of these developments allows the postulation of an integrated approach to automated language processing. This approach, which is outlined in the final sections of the paper, incorporates current notions in linguistic theory and information science, as well as design features of recent computational linguistic models. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the American Society for Information Science is the property of Wiley-Blackwell 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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      – Type: doi
        Value: 10.1002/asi.4630230309
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 25
        StartPage: 195
    Subjects:
      – SubjectFull: Linguistics
        Type: general
      – SubjectFull: Information science
        Type: general
      – SubjectFull: Computational linguistics
        Type: general
      – SubjectFull: Natural language processing
        Type: general
      – SubjectFull: Indexers
        Type: general
      – SubjectFull: Content analysis
        Type: general
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      – TitleFull: Linguistics and Information Science.
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            – D: 01
              M: 05
              Text: May/Jun1972
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              Y: 1972
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              Value: 23
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            – TitleFull: Journal of the American Society for Information Science
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