Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

 

vanityFairCharacterNetwork.png

 

Projects:

 

Digitales Textlabor (Digital Text Lab)

DCA method fieldText analysis

Text Lab implements methods for literature scientific markup for text corpora und digital historical editions. It involves gamification as acquisition and quality control for literary markup method in research-oriented university teaching.
It conducts grammatical and fine-grained narratological and figurative analysis, identification of speech and thought representation types,  and the investigation of metaphor.

 

Institution: Seminar für dt. Philologie, FB neuere dt. Literatur
People: Prof.Dr. Heike Sahm, Dr. Berenike Herrmann

 

IT-AFK   

"IT-gestützte Analyse von Freitextaufgaben für die Lehre"   Automatizing essay scoring via text classification in the Business Education domain via text analysis approaches. The project targeted corpus collection, interfacing existing tools and reusing labeled data for running machine learning experiments.

Institution: Professur für Anwendungssysteme und E-Business    
People: Prof. Dr. Matthias Schumann Janne Kleinhans (M.A.)

   

"TrAiN"    

TrAIN aims to conduct research pertaining to two essential Digital Transformation processes, namely Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR), applied to historical data. The project focuses on the  letter collection from the Grimm Brothers. TrAIN compares the outputs produced by the HTR of the original letters and by the OCR of the printed edition, and investigates two common scholarly tasks: text reuse detection and authorship attribution. Text reuse algorithms are employed to align the OCR output with the HTR output, and author attribution techniques to identify the stylistic markers of the Grimm Brothers.

www.etrap.eu/research/tracing-authorship-in-noise-train/

Institution: Institut für Informatik / GCDH    
People: Dr. Marco Büchler    

 

"KOLIMO"    

KoLiMo is developing a large literary collection to verify hypotheses of textual scholarship, Identify and assess quantitative indicators of style, to enable synchronic and diachronic comparison of  epochs, movements, and authorship. The main tasks in creating this new benchmark resource consist of corpus cleanup, preprocessing, grammatical analysis and labeling, standardized metadata creation, acquisition, mapping and labeling, standardized markup, quality control, and online presentation.

https://kolimo.uni-goettingen.de

Institution: Seminar dt. Philologie, FB neuere dt. Literatur GCDH    
People: Prof. Dr. Gerhard Lauer Dr. Berenike Herrmann    

 

"Digital Publishing of the Liber Ordinarius"   

The project explores digital means for the transcription, presentation and evaluation of the text and its sources. Its focus is on the testing the usability of existing software for this purposes We experiment with a combination of different specialized tools for the different stages of preparing a source text edition, and also try to adapt tools designed for non-research-purposes, especially plagiarism detectors. We make use of highly specialist software such as Transkribus.

http://www.chantreform.uni-goettingen.de/

Institution: Musikwissenschaftliches Seminar    
People: Prof. Dr. Andreas Waczkat Karen Thöle     

 

"PoliLab"    

PoliLab targets computer-assisted analysis of political discourse such as Chancellor’s speeches and party programs. Its methods include text categorization, topic and sentiment analysis and tracking of content changes over time.

Institution: Institut für Politikwissenschaft    
People: Prof. Dr. Andreas Busch    

 

"LingLab"    

The idea of project LingLab is to create an innovative collaboration platform to concentrate the workflow of empirically working linguists into one system and provide a tool to ease research data management and data publication. With LingLab research projects can be publically accessed at a very early stage in the research process. By giving access to an automatically created data paper and the relevant material, linguistic data can be easily replicated and reused by other interested researchers. This ensures the sustainability of research materials and invites researchers to intensify networking and collaboration.

Insitution: Seminar dt. Philologie mit linguistisch ausgerichteten Abteilungen    
People: Prof. Dr. Anke Holler Prof. Dr. Marco Coniglio Dr. Annika Herrmann