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1 – 8 of 8

Abstract

Purpose

An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights the affect HTR may have on scholarship, and evidences this turning point of the advanced use of digitised heritage content. The paper aims to discuss these issues.

Design/methodology/approach

This paper adopts a case study approach, using the development and delivery of the one openly available HTR platform for manuscript material.

Findings

Transkribus has demonstrated that HTR is now a useable technology that can be employed in conjunction with mass digitisation to generate accurate transcripts of archival material. Use cases are demonstrated, and a cooperative model is suggested as a way to ensure sustainability and scaling of the platform. However, funding and resourcing issues are identified.

Research limitations/implications

The paper presents results from projects: further user studies could be undertaken involving interviews, surveys, etc.

Practical implications

Only HTR provided via Transkribus is covered: however, this is the only publicly available platform for HTR on individual collections of historical documents at time of writing and it represents the current state-of-the-art in this field.

Social implications

The increased access to information contained within historical texts has the potential to be transformational for both institutions and individuals.

Originality/value

This is the first published overview of how HTR is used by a wide archival studies community, reporting and showcasing current application of handwriting technology in the cultural heritage sector.

Content available
Article
Publication date: 7 August 2009

Philip Calvert

139

Abstract

Details

The Electronic Library, vol. 27 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

Content available
Article
Publication date: 4 September 2009

Zinaida Manžuch

167

Abstract

Details

Journal of Documentation, vol. 65 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

Content available
Article
Publication date: 12 June 2009

286

Abstract

Details

Records Management Journal, vol. 19 no. 2
Type: Research Article
ISSN: 0956-5698

Keywords

Content available
Article
Publication date: 14 September 2015

G E Gorman and Jennifer Rowley

783

Abstract

Details

Online Information Review, vol. 39 no. 5
Type: Research Article
ISSN: 1468-4527

Open Access
Article
Publication date: 19 April 2022

Jin Gao, Julianne Nyhan, Oliver Duke-Williams and Simon Mahony

This paper presents a co-authorship study of authors who published in Digital Humanities journals and examines the apparent influence of gender, or more specifically, the…

1716

Abstract

Purpose

This paper presents a co-authorship study of authors who published in Digital Humanities journals and examines the apparent influence of gender, or more specifically, the quantitatively detectable influence of gender in the networks they form.

Design/methodology/approach

This study applied co-authorship network analysis. Data has been collected from three canonical Digital Humanities journals over 52 years (1966–2017) and analysed.

Findings

The results are presented as visualised networks and suggest that female scholars in Digital Humanities play more central roles and act as the main bridges of collaborative networks even though overall female authors are fewer in number than male authors in the network.

Originality/value

This is the first co-authorship network study in Digital Humanities to examine the role that gender appears to play in these co-authorship networks using statistical analysis and visualisation.

Details

Journal of Documentation, vol. 78 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

Open Access
Article
Publication date: 11 October 2023

Jin Gao, Julianne Nyhan, Oliver Duke-Williams and Simon Mahony

This paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH…

Abstract

Purpose

This paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.

Design/methodology/approach

Through an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.

Findings

The results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).

Originality/value

This study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.

Details

Journal of Documentation, vol. 79 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

Open Access
Article
Publication date: 23 May 2023

Kimmo Kettunen, Heikki Keskustalo, Sanna Kumpulainen, Tuula Pääkkönen and Juha Rautiainen

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different…

Abstract

Purpose

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different quality OCR on users' subjective perception through an interactive information retrieval task with a collection of one digitized historical Finnish newspaper.

Design/methodology/approach

This study is based on the simulated work task model used in interactive information retrieval. Thirty-two users made searches to an article collection of Finnish newspaper Uusi Suometar 1869–1918 which consists of ca. 1.45 million autosegmented articles. The article search database had two versions of each article with different quality OCR. Each user performed six pre-formulated and six self-formulated short queries and evaluated subjectively the top 10 results using a graded relevance scale of 0–3. Users were not informed about the OCR quality differences of the otherwise identical articles.

Findings

The main result of the study is that improved OCR quality affects subjective user perception of historical newspaper articles positively: higher relevance scores are given to better-quality texts.

Originality/value

To the best of the authors’ knowledge, this simulated interactive work task experiment is the first one showing empirically that users' subjective relevance assessments are affected by a change in the quality of an optically read text.

Details

Journal of Documentation, vol. 79 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

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