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CorpusExplorer: Supporting a Deeper Understanding of Linguistic Corpora

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Smart Graphics (SG 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6815))

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Abstract

Word trees are a common way of representing frequency information obtained by analyzing natural language data. This article explores their usage and possibilities, and addresses the development of an application to visualize the relative frequencies of 2-grams and 3-grams in Google’s ”English One Million” corpus using a two-sided word tree and sparklines to show usage trends through time. It also discusses how the raw data was processed and trimmed to speed up access to it.

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Author information

Authors and Affiliations

  1. University of Salamanca, Spain

    Andrés Esteban & Roberto Therón

Authors
  1. Andrés Esteban
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  2. Roberto Therón
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, Research Group Digital Media, University of Bremen, 28359, Bremen, Germany

    Lutz Dickmann , Gerald Volkmann  & Rainer Malaka ,  & 

  2. Department of Computer Science, Media Informatics and Multimedia Systems, University of Oldenburg, 26121, Oldenburg, Germany

    Susanne Boll

  3. Innovative Retail Laboratory, German Research Center for Artificial Intelligence (DFKI), 66123, Saarbrücken, Germany

    Antonio Krüger

  4. School of Computing Science, Newcastle University, NE7 1NP, Newcastle Upon Tyne, UK

    Patrick Olivier

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© 2011 Springer-Verlag Berlin Heidelberg

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Esteban, A., Therón, R. (2011). CorpusExplorer: Supporting a Deeper Understanding of Linguistic Corpora. In: Dickmann, L., Volkmann, G., Malaka, R., Boll, S., Krüger, A., Olivier, P. (eds) Smart Graphics. SG 2011. Lecture Notes in Computer Science, vol 6815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22571-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-22571-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22570-3

  • Online ISBN: 978-3-642-22571-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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