Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents

Sergiu Gordea; Medina Andresel; Frank Drauschke; Philip Kahle

doi:10.1145/3656650.3656730

Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents

Sergiu Gordea (Speaker), Medina Andresel, Frank Drauschke, Philip Kahle

Data Science & Artifical Intelligence

Facts & Files Digital Services GmbH

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

This paper presents the Transcribathou.eu tool and Europeana Transcribe, a citizen science initiative which aims at crowdsourcing
transcription and enrichment of historical documents made available through the Europeana.eu platform. The public value of this
work is internationally recognized through the honorary mention1 awarded within the scope of European Union Prize for Citizen Science. The process for performing a complete digitization of historical documents is described together with AI technologies used for analyzing document content, generating semantic enrichments, clustering and visualizing documents by their topics.

Original language	English
Title of host publication	AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces
Editors	Cristina Conati, Ilaria Torre, Gualtiero Volpe
Publisher	Association for Computing Machinery (ACM)
Number of pages	3
ISBN (Electronic)	979-8-4007-1764-2
DOIs	https://doi.org/10.1145/3656650.3656730
Publication status	Published - 3 Jun 2024
Event	AVI'24: 2024 International Conference on Advanced Visual Interfaces - Arenzano, Genoa Italy, Arenzano, Italy Duration: 3 Jun 2024 → 7 Jun 2024

Conference

Conference	AVI'24: 2024 International Conference on Advanced Visual Interfaces
Country/Territory	Italy
City	Arenzano
Period	3/06/24 → 7/06/24

Research Field

Multimodal Analytics

Keywords

Transcribathon
collaborative transcription
semantic enrichment
Handwritten Text Recognition
cultural heritage

Access to Document

10.1145/3656650.3656730

Cite this

Gordea, S., Andresel, M., Drauschke, F., & Kahle, P. (2024). Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents. In C. Conati, I. Torre, & G. Volpe (Eds.), AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces Article 106 Association for Computing Machinery (ACM). https://doi.org/10.1145/3656650.3656730

@inproceedings{a79a01c3940c41d094b15cf8189df721,

title = "Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents",

abstract = "This paper presents the Transcribathou.eu tool and Europeana Transcribe, a citizen science initiative which aims at crowdsourcingtranscription and enrichment of historical documents made available through the Europeana.eu platform. The public value of thiswork is internationally recognized through the honorary mention1 awarded within the scope of European Union Prize for Citizen Science. The process for performing a complete digitization of historical documents is described together with AI technologies used for analyzing document content, generating semantic enrichments, clustering and visualizing documents by their topics.",

keywords = "Transcribathon, collaborative transcription, semantic enrichment, Handwritten Text Recognition, cultural heritage",

author = "Sergiu Gordea and Medina Andresel and Frank Drauschke and Philip Kahle",

year = "2024",

month = jun,

day = "3",

doi = "10.1145/3656650.3656730",

language = "English",

editor = "Cristina Conati and Ilaria Torre and Gualtiero Volpe",

booktitle = "AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "AVI'24: 2024 International Conference on Advanced Visual Interfaces ; Conference date: 03-06-2024 Through 07-06-2024",

}

Gordea, S , Andresel, M, Drauschke, F & Kahle, P 2024, Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents. in C Conati, I Torre & G Volpe (eds), AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces., 106, Association for Computing Machinery (ACM), AVI'24: 2024 International Conference on Advanced Visual Interfaces, Arenzano, Italy, 3/06/24. https://doi.org/10.1145/3656650.3656730

Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents. / Gordea, Sergiu (Speaker); Andresel, Medina; Drauschke, Frank et al.
AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces. ed. / Cristina Conati; Ilaria Torre; Gualtiero Volpe. Association for Computing Machinery (ACM), 2024. 106.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents

AU - Andresel, Medina

AU - Drauschke, Frank

AU - Kahle, Philip

A2 - Gordea, Sergiu

A2 - Conati, Cristina

A2 - Torre, Ilaria

A2 - Volpe, Gualtiero

PY - 2024/6/3

Y1 - 2024/6/3

N2 - This paper presents the Transcribathou.eu tool and Europeana Transcribe, a citizen science initiative which aims at crowdsourcingtranscription and enrichment of historical documents made available through the Europeana.eu platform. The public value of thiswork is internationally recognized through the honorary mention1 awarded within the scope of European Union Prize for Citizen Science. The process for performing a complete digitization of historical documents is described together with AI technologies used for analyzing document content, generating semantic enrichments, clustering and visualizing documents by their topics.

AB - This paper presents the Transcribathou.eu tool and Europeana Transcribe, a citizen science initiative which aims at crowdsourcingtranscription and enrichment of historical documents made available through the Europeana.eu platform. The public value of thiswork is internationally recognized through the honorary mention1 awarded within the scope of European Union Prize for Citizen Science. The process for performing a complete digitization of historical documents is described together with AI technologies used for analyzing document content, generating semantic enrichments, clustering and visualizing documents by their topics.

KW - Transcribathon

KW - collaborative transcription

KW - semantic enrichment

KW - Handwritten Text Recognition

KW - cultural heritage

UR - https://doi.org/10.1145/3656650.3656730

U2 - 10.1145/3656650.3656730

DO - 10.1145/3656650.3656730

M3 - Conference Proceedings with Oral Presentation

BT - AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces

PB - Association for Computing Machinery (ACM)

T2 - AVI'24: 2024 International Conference on Advanced Visual Interfaces

Y2 - 3 June 2024 through 7 June 2024

ER -

Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents

Abstract

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Research Field

Keywords

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