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Open Archaeology

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Extracting Information from Archaeological Texts

Keith W. Kintigh
  • School of Human Evolution & Social Change, Box 872402, Arizona State University, Tempe AZ 85282-4002 USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2015-03-21 | DOI: https://doi.org/10.1515/opar-2015-0004


To address archaeology’s most pressing substantive challenges, researchers must discover, access, and extract information contained in the reports and articles that codify so much of archaeology’s knowledge. These efforts will require application of existing and emerging natural language processing technologies to extensive digital corpora. Automated classification can enable development of metadata needed for the discovery of relevant documents. Although it is even more technically challenging, automated extraction of and reasoning with information from texts can provide urgently needed access to contextualized information within documents. Effective automated translation is needed for scholars to benefit from research published in other languages.

Keywords: synthesis; digital repositories; natural language processing; automated translation; automated reasoning


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About the article

Received: 2014-12-19

Accepted: 2015-02-11

Published Online: 2015-03-21

Citation Information: Open Archaeology, Volume 1, Issue 1, ISSN (Online) 2300-6560, DOI: https://doi.org/10.1515/opar-2015-0004.

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© 2015 Keith W. Kintigh. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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