Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study

Mark John Hill; Simon Hengchen

doi:10.1093/llc/fqz024

Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Digital Scholarship in the Humanities : DSH
Volume	34
Issue number	4
Pages (from-to)	825–843
Number of pages	19
ISSN	2055-7671
DOIs	https://doi.org/10.1093/llc/fqz024
Publication status	Published - 2019
MoE publication type	A1 Journal article-refereed

Fields of Science

615 History and Archaeology
6160 Other humanities
113 Computer and information sciences

Access to Document

10.1093/llc/fqz024

Embargoed Document

Hill_-_Hengchen_Quantifying_impact_of_OCR-ECCO_postprint
Accepted author manuscript, 1.03 MB
Licence: CC BY-NC-ND
Embargo ends: 21/03/2021

Projects

1 Active

COMHIS: Helsinki Computational History Group

Tolonen, M., Hengchen, S., Kanner, A., Säily, T., Vaara, V., Ijaz, A., Roivainen, H., Hill, M. J., Ros, R., Marjanen, J., Mäkelä, E., Tiihonen, I. & Lahti, L.

SUOMEN AKATEMIA

01/01/2018 → …

Project: Research project

Activities

1 Invited talk

Quantifying the impact of messy data on historical text analysis

Mark J. Hill (Speaker), & Simon Hengchen (Speaker)

4 Jul 2018

Activity: Talk or presentation types › Invited talk

Cite this

Hill, M. J., & Hengchen, S. (2019). Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study. Digital Scholarship in the Humanities : DSH , 34(4), 825–843. https://doi.org/10.1093/llc/fqz024

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