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Die Digitalisierung hat uns neue Möglichkeiten eröffnet, miteinander zu kommunizieren, Informationen zu verarbeiten, zu speichern und zu publizieren. Hat das auch unser Schreiben, unser Lesen, unsere Texte oder gar unser Bild von Sprache verändert? Und ist die Sprachwissenschaft heute noch dieselbe wie vor dreißig Jahren? Über diese Fragen sprach Monika Obrist, Leiterin des GfdS-Zweigs Bozen, mit Prof. Dr. Henning Lobin, dem Direktor des IDS Mannheim.
Text und Sprache digital
(2020)
This paper presents challenges and opportunities resulting from the application of geographical information systems (GIS) in the (digital) humanities. First, we provide an overview of the intersection and interaction between geography (and cartography), and the humanities. Second, the “GeoBib” project is used as a case study to exemplify challenges for such collaborative, interdisciplinary projects, both for the humanists and the geoscientists. Finally, we conclude with an outlook on further applications of GIS in the humanities, and the potential scientific benefit for both sides, humanities and geosciences.
In the project SemDok (Generic document structures in linearly organised texts) funded by the German Research Foundation DFG, a discourse parser for a complex type (scientific articles by example), is being developed. Discourse parsing (henceforth DP) according to the Rhetorical Structure Theory (RST) (Mann and Taboada, 2005; Marcu, 2000) deals with automatically assigning a text a tree structure in which discourse segments and rhetorical relations between them are marked, such as Concession. For identifying the combinable segments, declarative rules are employed, which describe linguistic and structural cues and constraints about possible combinations by referring to different XML annotation layers of the input text, and external knowledge bases such as a discourse marker lexicon, a lexico-semantic ontology (later to be combined with a domain ontology), and an ontology of rhetorical relations. In our text-technological environment, the obvious choice of formalism to represent such ontologies is OWL (Smith et al., 2004). In this paper, we describe two OWL ontologies and how they are consulted from the discourse parser to solve certain tasks within DP. The first ontology is a taxononomy of rhetorical relations which was developed in the project. The second one is an OWL version of GermaNet, the model of which we designed together with our project partners.
Wohlgeformte XML-Dokumente lassen sich als Bäume interpretieren und diese wiederum durch Grammatiken beschreiben. Dokumentgrammatiken weisen einige Besonderheiten auf, die sie von Grammatiken für natürliche Sprachen oder Programmiersprachen unterscheidet. Dieser Beitrag erläutert die Verarbeitungsmöglichkeiten, die aus der Nutzung von formalen Dokumentgrammatiken erwachsen.