MONK in Practice: Indexing Heterogeneous Handwritten Collections

Anna Caceres; Andreas  Weber; Lambert Schomaker

doi:10.5281/zenodo.3860811

MONK in Practice: Indexing Heterogeneous Handwritten Collections

Anna Caceres^*, Andreas Weber^*, Lambert Schomaker^*

^*Corresponding author for this work

Digital Society Institute

Research output: Contribution to conference › Abstract › Academic

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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 language	English
Number of pages	3
DOIs	https://doi.org/10.5281/zenodo.3860811
Publication status	Published - 2020
Event	7th Digital Humatities Benelux 2020 - Faculty of Humanities at Leiden University, Leiden, Netherlands Duration: 3 Jun 2020 → 5 Jun 2020 Conference number: 7 http://2020.dhbenelux.org/

Conference

Conference	7th Digital Humatities Benelux 2020
Abbreviated title	DH Benelux 2020
Country/Territory	Netherlands
City	Leiden
Period	3/06/20 → 5/06/20
Other	Rescheduled to June 2-4, 2021
Internet address	http://2020.dhbenelux.org/

Keywords

Digital humanities
Handwriting recognition
Citizen science
Digital collection
Prize papers

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10.5281/zenodo.3860811

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title = "MONK in Practice: Indexing Heterogeneous Handwritten Collections",

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).",

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author = "Anna Caceres and Andreas Weber and Lambert Schomaker",

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AU - Weber, Andreas

AU - Schomaker, Lambert

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N2 - 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).

AB - 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).

KW - Digital humanities

KW - Handwriting recognition

KW - Citizen science

KW - Digital collection

KW - Prize papers

U2 - 10.5281/zenodo.3860811

DO - 10.5281/zenodo.3860811

M3 - Abstract

Y2 - 3 June 2020 through 5 June 2020

ER -

MONK in Practice: Indexing Heterogeneous Handwritten Collections

Abstract

Conference

Keywords

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