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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Information and Language Processing > Statistical Cybermetrics Research Group > Language evolution and the spread of ideas on the Web: A procedure for identifying emergent hybrid word family members

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/26896
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Title: Language evolution and the spread of ideas on the Web: A procedure for identifying emergent hybrid word family members
Authors: Thelwall, Mike
Price, Liz
Citation: Journal of the American Society for Information Science and Technology, 57 (10): 1326 - 1337
Publisher: Wiley
Journal: Journal of the American Society for Information Science and Technology
Issue Date: 2006
URI: http://hdl.handle.net/2436/26896
DOI: 10.1002/asi.20437
Additional Links: http://www3.interscience.wiley.com/journal/112650748/abstract
Abstract: Word usage is of interest to linguists for its own sake as well as to social scientists and others who seek to track the spread of ideas, for example, in public debates over political decisions. The historical evolution of language can be analyzed with the tools of corpus linguistics through evolving corpora and the Web. But word usage statistics can only be gathered for known words. In this article, techniques are described and tested for identifying new words from the Web, focusing on the case when the words are related to a topic and have a hybrid form with a common sequence of letters. The results highlight the need to employ a combination of search techniques and show the wide potential of hybrid word family investigations in linguistics and social science.
Type: Article
Language: en
Keywords: Linguistics
Word usage
Internet use
Webometrics
Language evolution
Information dissemination
ISSN: 15322882
15322890
Appears in Collections: Statistical Cybermetrics Research Group
Statistical Cybermetrics Research Group

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