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Paredros: Eine interaktive Entwicklungsumgebung zur grammatikbasierten Analyse semi-strukturierter Quellen

Authors: Stahl, Patrick; Motz, Daniel; Mitschunas, Johannes; Beckstein, Clemens;

Paredros: Eine interaktive Entwicklungsumgebung zur grammatikbasierten Analyse semi-strukturierter Quellen

Abstract

Das Poster präsentiert "Paredros", eine interaktive Entwicklungsumgebung zur grammatikbasierten Analyse semi-strukturierter Quellen wie Register oder Regesten. Während gängige Ad-hoc-Skripte oder Blackbox-Verfahren oft an mangelnder Transparenz und Reproduzierbarkeit scheitern, sind formale Grammatiken für Geisteswissenschaftler:innen bislang schwer zugänglich. Paredros schließt diese methodische Lücke, indem es auf dem leistungsfähigen Parser-Generator ANTLR aufsetzt und dessen Komplexität hinter einem innovativen visuellen Frontend verbirgt. Das Herzstück ist ein interaktiver "Videorecorder" für den Parsing-Prozess, der eine schrittweise, transparente Analyse und sogar die interaktive "Reparatur" von Grammatiken ermöglicht – eine Funktionalität, die über Standard-Entwicklertools hinausgeht. Der Ansatz gewährleistet eine vollständige und nachvollziehbare Datenextraktion im Sinne der FAIR-Prinzipien und etabliert die Grammatik selbst als explizites, menschenlesbares Forschungsergebnis. Es wird ein Workflow skizziert, bei dem LLM-gestützte Editoren und Paredros für einen robusten Analyseprozess Hand in Hand gehen.

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Keywords

Paper, Informationsextraktion, Formale Grammatiken, Semi-strukturierte Daten, Erklärbarkeit (XAI), Reproducible Workflow, Structural Analysis, Werkzeugkritik, Modelling, FAIR-Prinzipien, Visualisation, Forschungsprozess, DHd2026, Programming, Werkzeuge, Poster, Visuelles Debugging

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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