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Abstract
Word usage is of interest to linguists for its own sake as well as to social scientists and others seeking to track the spread of ideas, for example in public debates over political decisions. The historical evolution of language can be analysed 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, focussing 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.BibTex
@article{thelwall06spreadOfIdeas,
author={Mike Thelwall and Liz Price},
title={Language evolution and the spread of ideas: A procedure for identifying emergent hybrid word family members},
journal={Journal of the American Society for Information Science and Technology},
year={2006},
volume={57},
number={10},
pages={1326-1337},
doi={10.1002/asi.20437},
url={http://www.isrl.uiuc.edu/~amag/langev/paper/thelwall06spreadOfIdeas.html}
}
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