Short description of the project
We are building a diversity corpus (DisKo) as the basis for the algorithmic text analysis. DisKo comprises narrative texts written in the last 100 years in which not only male, female and neutral roles occur, but also descriptions of non-binary characters. The corpus serves as training material for a classifier for the automated analysis of gender roles in German-language literary texts.
Project content
DisKo stands for Diversity Corpus (German: Diversitätskorpus) and is a project in the field of Computational Literary Studies. We use machine learning to train an algorithm that not only recognises female, male and neutral roles in literary texts, but also less binary gender attributions. For this training process, we first need a training corpus that is as diverse as possible and consists of texts in which non-binary gender attributions occur. As part of a public humanities concept, as many different groups of readers as possible are involved in the acquisition of the corpus. The more diverse the people involved in the creation of the corpus, the more diverse the texts in our training corpus will ultimately be. This diversity is important in order to make gender diversity visible with our digital humanities approach. The central component of the project is a survey in which you can submit your text references. Do you know of literary works in which characters are not described stereotypically, but in a diverse way? Then take part in our survey via the link, enter text suggestions and help us to build up a diversity corpus: https://public.zenkit.com/f/klZHAjPGg/disko?v=xQoeCRIop
Add your DH research project to the project showcase by submitting a short project description via the web form. Enter project data, a brief description, a graphic or visualization as well as a detailed description of the project content with technical assignment, addressees, added value, project managers, funding information and duration.
Das Heinrich-Heine-Portal schöpft aus den Arbeitsergebnissen mehrerer Forschergenerationen, indem es die beiden historisch-kritischen Heine-Gesamtausgaben, die unabhängig voneinander in der Bundesrepublik
Der DARIAH-DE Geo-Browser ermöglicht eine vergleichende Visualisierung mehrerer Anfragen und unterstützt die Darstellung von Daten und deren Visualisierung in einer
Die Virtuelle Forschungsumgebung TextGrid ist optimiert für die digitale Erschließung geisteswissenschaftlicher Quellen und deren langfristige Archivierung in einem Web-Archiv, insbesondere
Annotieren, Analysieren, Interpretieren und Visualisieren: In CATMA können Textwissenschaftler:innen so arbeiten, wie es ihren Fragestellungen am besten entspricht: qualitativ oder
Das Forschungs- und Lehrkorpus Gesprochenes Deutsch (FOLK) wird seit 2008 am Leibniz-Institut für Deutsche Sprache aufgebaut. Das Korpus enthält Audio-
HGIS de las Indias ist eine historisch-geographische Datenbank zum Spanisch-Amerika der ausgehenden Kolonialzeit.
Annotate, analyze, interpret and visualize: In CATMA, text researchers can work in the way that best suits them: qualitatively or quantitatively, bottom-up and exploratory or descriptive and taxonomy-based, individually or in a team. The web-based open source tool is free of charge and also offers the possibility of exporting your own data, for example to process it further with other tools.
Publication of data on textual witnesses of the Ancient Egyptian Book of the Dead from the Academy project “Ancient Egyptian Book of the Dead” (1994/2004–2012). Published in 2012, the portal offers descriptions, images and bibliographies of around 3000 textual witnesses of the Book of the Dead, as well as visualizations and evaluations of the objects, verses and motifs contained therein. It is a central resource for international research on the Book of the Dead and is continuously maintained by the CCeH.