Abstract
In this chapter we discuss the acquisition of historical texts in electronic form. The topics discussed include scanning, optical character recognition (OCR), and manual transcription and tools for supporting transcribers.
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© 2012 Springer Nature Switzerland AG
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Piotrowski, M. (2012). Acquiring Historical Texts. In: Natural Language Processing for Historical Texts. Synthesis Lectures on Human Language Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-02146-6_4
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DOI: https://doi.org/10.1007/978-3-031-02146-6_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-01018-7
Online ISBN: 978-3-031-02146-6
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