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Berlin Text System 3.1 User Manual : Editorial Software of the Thesaurus Linguae Aegyptiae Project
(2018)
The Berlin Text System (BTS) Version 3.1 manual introduces a Java-based software designed for editing and annotating Ancient Egyptian texts. BTS integrates a CouchDB database and an Elastic search engine to support its main components: Text Editor, Lemma List, Thesaurus, and Abstract Text.
The Text Editor facilitates transliteration, translation, lemmatization, and annotations, allowing for detailed lexical and grammatical analysis. Hieroglyphic transcriptions can be entered via a specialized Hieroglyph Type Writer based on JSesh.
The Lemma List ist ready to contain pre-Coptic lemmata, divided into Hieroglyphic/Hieratic and Demotic scripts, providing comprehensive entries with passport data, transliterations, and translations.
The Thesaurus allows for metadata enrichment of texts with controlled vocabulary for consistent data management, supporting contextual analysis through structured metadata.
The manual covers BTS's user interface, including menu bar, toolbar, status bar, and workspace, divided into views for each main component. Features like Revision History for tracking and restoring versions, indexing, and search capabilities enhance user efficiency. BTS is a powerful tool for the study and preservation of Ancient Egyptian texts, integrating advanced database and search technologies with specialized textual analysis tools.
Der Thesaurus Linguae Aegyptiae ist eine lexikalische Datenbank ägyptischer Texte. Durch die Verknüpfung einer Textdatenbank mit einem lexikalischen Wort-Thesaurus innerhalb eines modernen Navigationsprogramms sind vielfältige Abfragemöglichkeiten geschaffen worden, die weit über gedruckte Formate von Texteditionen und Wörterbüchern hinausgehen, diese aber nicht ersetzen sollen und können. Der TLA ist ein völlig neuartiges Instrument der Recherche und Forschung, das in diesem Aufsatz beschrieben wird.
This paper is an updated presentation of the Ramses project being currently developed at the University of Liège. The first section stresses the main objectives and gives a technical description of the general architecture of Ramses software. The second part describes the encoding procedures and reviews the current state of the annotation. In the third section, some changes brought about by the use of large-scale corpora are discussed from an epistemological viewpoint. The paper ends with the presentation of some new avenues for research that will ensue from the use of a complex multilevel corpus.