Transkribus - A Service Platform for Transcription, Recognition and Retrieval of Historical Documents

Kahle, Philip; Colutto, Sebastian; Hackl, Günter; Mühlberger, Günter

doi:10.1109/icdar.2017.307

Cited by 91 publications

(57 citation statements)

References 7 publications

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“…Digitoidut kuvatiedostot tunnistettiin aluksi Tesseract-ohjelmalla [29] Tesseractin tunnistamat rivit muutettiin Page XML -formaattiin [22], joka vietiin Transkribus-ohjelmaan [14]. Transkribus tarjoaa erinomaisen ympäristön oikoluvulle ja eri polygonien korjaamiselle käsin, joten siinä oli vaivatonta tarkistaa yksittäisiä sivuja jokaisesta teoksesta.…”

Section: Digitoidun Aineiston Käsittelyunclassified

Nykysuomen sanakirjan digitaalinen editio

Partanen¹,

Jalava²

2021

Multilingual Facilitation

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Section: Digitoidun Aineiston Käsittelyunclassified

Nykysuomen sanakirjan digitaalinen editio

Partanen¹,

Jalava²

2021

Multilingual Facilitation

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“…The most complete solution for the task of OCR or HTR aided transcription is provided by the Transkribus 6 (see [3]) platform. It consists of a web service that handles the storage of the documents, carries out training and recognition in the background and provides a complex user interface for the editing via a client software as well as a web based interface for the same purpose.…”

Section: Related Workmentioning

confidence: 99%

Nasḫī – an Efficient Tool for the OCR-Aided Transcription of Printed Texts

Büttner¹

2019

Preprint

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This paper presents a simple yet effective solution for the transcrip- tion of printed texts. Our tool consists of a web-based user interface that provides an easy-to-use and ergonomic workflow and a col- laborative environment for the philologists while allowing them to profit from machine learning OCR technology. As the targeted use case is not mass digitisation but the creation of accurate citable digital editions, the user interface for ground truth production and post correction is built to provide the means for rapid proofread- ing while minimising the amount of errors. The productivity of the setup is further improved by enabling progressive OCR train- ing and recognition in the background to constantly increase the accuracy of the predictions. The advantages of the application are showcased in the second part of the paper by documenting our experiences utilising it for di- gitising Arabic and Latin texts. Over the course of several months the tool has been used to create transcriptions of a wide range of sources, among them challenging early modern editions and Ar- abic scripts, producing a large amount of reusable OCR training data as a positive side effect. Finally, there will be a discussion of possible future extensions of the tool and of how it could be adapted to fit the needs of other digitisation projects.

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“…The Österreichische Nationalbibliothek transcriptions were realized with the proprietary software Abbyy Finereader (see https://www.abbyy.com/ finereader/). In order to avoid the restrictions associated with commercial software, I decided to select an alternative approach, which combines the functionalities of the server-based freeware Transkribus (Kahle et al 2017; see also https://transkribus.eu/Transkribus/) -through which it is also possible to access the main features of Abbyy Finereader -with the opensource algorithms of OCRopus/OCRopy, a software that was developed specifically for the recognition of the Fraktur font (Breuel et al 2013; see also https://github.com/tmbdev/ocropy).…”

Section: The Klagenfurter Ausgabe and Ocrmentioning

confidence: 99%

A Digital Edition between Stylometry and OCR:

Rebora

2019

Textual Cultures

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This article presents the digital edition of Robert Musil’s work (Klagenfurter Ausgabe) and its role in a digital humanities project aimed at reconstructing Musil’s activity in the WWI journal Tiroler Soldaten-Zeitung. First, the article reviews the ways in which the compu- tational methods of stylometry are applied to attribute the anonymous texts published in the Klagenfurter Ausgabe. Second, it explores how optical character recognition (OCR) soft- ware is employed to expand the corpus. At the core of this methodology two machine learn- ing algorithms are trained and revised using the transcriptions of the Klagenfurter Ausgabe, to reach an accuracy of about 99.9% in the digitization of the Tiroler Soldaten-Zeitung texts. The work of this project offers not only the possibility of expanding stylometric analysis to the whole journal, but also of improving the transcriptions of the Klagenfurter Ausgabe.

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Transkribus - A Service Platform for Transcription, Recognition and Retrieval of Historical Documents

Cited by 91 publications

References 7 publications

Nykysuomen sanakirjan digitaalinen editio

Nykysuomen sanakirjan digitaalinen editio

Nasḫī – an Efficient Tool for the OCR-Aided Transcription of Printed Texts

A Digital Edition between Stylometry and OCR:

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Transkribus - A Service Platform for Transcription, Recognition and Retrieval of Historical Documents

Cited by 91 publications

References 7 publications

Nykysuomen sanakirjan digitaalinen editio

Nykysuomen sanakirjan digitaalinen editio

Nasḫī &ndash; an Efficient Tool for the OCR-Aided Transcription of Printed Texts

A Digital Edition between Stylometry and OCR:

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Product

Resources

About

Nasḫī – an Efficient Tool for the OCR-Aided Transcription of Printed Texts