MONK in Practice: Indexing Heterogeneous Handwritten Collections

Anna Caceres*, Andreas Weber*, Lambert Schomaker*

*Corresponding author for this work

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Abstract

This short paper describes how MONK, a machine-learning driven handwriting recognition system, can be used to rapidly index a heterogeneous handwritten collection with the help of volunteers. We discuss the setup and results of an event which saw volunteers come together to enrich a subset of the digitized Prize paper collection, a collection of historical handwritten documents of the High Court of Admiralty (1652-1815).
Original languageEnglish
DOIs
Publication statusPublished - 2020
Event7th Digital Humatities Benelux 2020 - Faculty of Humanities at Leiden University, Leiden, Netherlands
Duration: 3 Jun 20205 Jun 2020
Conference number: 7
http://2020.dhbenelux.org/

Conference

Conference7th Digital Humatities Benelux 2020
Abbreviated titleDH Benelux 2020
CountryNetherlands
CityLeiden
Period3/06/205/06/20
OtherRescheduled to June 2-4, 2021
Internet address

Keywords

  • digital humanities
  • handwriting recognition
  • citizen science
  • digital collection
  • Prize papers

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    Caceres, A., Weber, A., & Schomaker, L. (2020). MONK in Practice: Indexing Heterogeneous Handwritten Collections. Abstract from 7th Digital Humatities Benelux 2020, Leiden, Netherlands. https://doi.org/10.5281/zenodo.3860811