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Automatic Text Processing for Historical Research

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Modern Information Technology and IT Education (SITITO 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1204))

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Abstract

This article is devoted to the main possibilities of using natural language text processing technologies for historical research. The authors present a taxonomy of biographical facts and use text mining technologies (extraction of information from texts) to obtain biographical information from texts in Russian in accordance with the proposed types of biographical facts. The conducting of biographical research implies the need to view and study large amounts of textual information. The considerable part of the sources is currently presented in electronic form, which allows researchers to apply modern methods of extracting information to them. The article presents an overview of the main areas of application of technologies for automatic processing natural language texts in the humanities and describes the approach to the creation and implementation of the instrument for the extraction and systematization of biographical facts. This instrument will be useful to both historians and other users interested in biographical research.

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Acknowledgements

The authors wish to thank all those who participated in the field exercise and helped to make it a successful endeavor.

The reported study was funded by RFBR according to the research project 18-37-00272.

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Authors and Affiliations

  1. University of Tyumen, Volodarskogo Str. 6, 625003, Tyumen, Russia

    Anna Glazkova, Valery Kruzhinov & Zinaida Sokova

Authors
  1. Anna Glazkova
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  2. Valery Kruzhinov
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  3. Zinaida Sokova
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Corresponding author

Correspondence to Anna Glazkova .

Editor information

Editors and Affiliations

  1. Moscow State University, Moscow, Russia

    Vladimir Sukhomlin

  2. Moscow State University, Moscow, Russia

    Elena Zubareva

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Glazkova, A., Kruzhinov, V., Sokova, Z. (2021). Automatic Text Processing for Historical Research. In: Sukhomlin, V., Zubareva, E. (eds) Modern Information Technology and IT Education. SITITO 2017. Communications in Computer and Information Science, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-78273-3_14

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  • DOI: https://doi.org/10.1007/978-3-030-78273-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78272-6

  • Online ISBN: 978-3-030-78273-3

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