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Auflistung nach Autor:in "Hemati, Wahed"

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  • Workshopbeitrag
    Corpus2Wiki: A MediaWiki based Annotation & Visualisation Tool for the Digital Humanities
    (INF-DH-2018, 2018) Rutherford, Eleanor; Hemati, Wahed; Mehler, Alexander
    In this paper, we present WikiExporter, a tool which automatically creates a MediaWiki site for a given corpus of texts. The texts, along with automatically generated annotations and visualisations associated with them, are displayed on this MediaWiki site, locally hosted on the users’ own machine. Several different software components are used to this end - Docker for ease and consistency of deployment, MediaWiki for the core engine, TextImager Client for the generation of annotations and a number of existing, and as well as extended, MediaWiki extensions for the visualisations. This tool was specifically designed for use within the interdisciplinary field of the Digital Humanities, as it provides a visual analysis and representation of texts via a tool which require no programming or advanced computational knowledge and uses an interface already well-known within the Digital Humanities Community, namely MediaWiki.
  • Konferenzbeitrag
    Corpus2Wiki: A MediaWiki-based Tool for Automatically Generating Wikiditions in Digital Humanities
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Hunziker, Alex; Mammadov, Hasanagha; Hemati, Wahed; Mehler, Alexander
    We describe current developments of Corpus2Wiki. Corpus2Wiki is a tool for generating so-calledWikiditions out of text corpora. It provides text analyses, annotations and their visualizations without requiring programming or advanced computer skills. By using TextImager as a back-end, Corpus2Wiki can automatically analyze input documents at different linguistic levels. Currently, it automatically annotates information regarding lemmatization, parts of speech, morphological information, named entities, geolocations and topic labels based on the Dewey Decimal Classification (DDC). Any results are stored and displayed by means of a modified and extended MediaWiki which makes it easy to further process texts and their annotations. The aim of this paper is to present the capabilities of Corpus2wiki, to point out the improvements made and to make suggestions for further development.