Tag Archives: OCR

Current open paid positions for Student Assistants

Two Transcribers wanted!

(Targeted at students of German Literature or other Humanities subjects)

The early career research group eTRAP is looking for Student Assistants. The research group is associated with the Institute of Computer Science and operates from the Göttingen Centre for Digital Humanities (GCDH). Further information about the research group and its work can be found at https://www.etrap.eu.

Job description
We are looking for applicants interested in joining the research group on TrAIN, a new project which was recently awarded the sum of €20,000 by the University of Göttingen. TrAIN, which stands for Tracing Authorship in Noise, will run for the duration of six months from 1st June 2016. The aim of the project is to obtain digital and searchable copies of the original correspondence of the Grimm brothers – the famous authors of the Kinder- und Hausmärchen. The digital copies will be obtained in two different ways, namely by the use of an HTR (Handwritten Text Recognition) tool and multiple OCR (Optical Character Recognition) tools. The output of such work will then be used to further research in the fields of stylometry and authorship attribution.
We are hiring 2 students for the duration of 3 months (extendable contract) who will act as the transcribers of the team. They will work with Transkribus, an HTR tool used to transcribe handwritten texts.

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Grant awarded!

We are very pleased to announce that eTRAP has been awarded a 20,000€ grant from the University of Göttingen for a six-month pilot project. The project, TrAiN (Tracing Authorship in Noise), seeks to investigate the complex relation between noisy OCR’d data and automatic text analyses. In particular, we will investigate and attempt to define the maximum noise threshold that will allow us to adequately conduct authorship and text reuse analyses on a number of texts selected for this study. Our research questions: at which point does OCR/HTR noise interfere with the automatic identification of stable linguistic and stylistic markers? What is the minimum amount of noise we need to correct?

The project includes a joint research workshop with stylometry experts to optimise existing algorithms, and to exchange ideas and knowledge.

Congratulations, team!

Project Co-PIs: Marco Büchler, Greta Franzini, Emily Franzini, Gabriela Rotari, Maria Moritz.