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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.
Virtually all conventional text-based natural language processing techniques - from traditional information retrieval systems to full-fledged parsers - require reference to a fixed lexicon accessed by surface form, typically trained from or constructed for synchronic input text adhering strictly to contemporary orthographic conventions. Unconventional input such as historical text which violates these conventions therefore presents difficulties for any such system due to lexical variants present in the input but missing from the application lexicon. To facilitate the extension of synchronically-oriented natural language processing techniques to historical text while minimizing the need for specialized lexical resources, one may first attempt an automatic canonicalization of the input text. This paper provides an informal overview of the various canonicalization techniques currently employed by the Deutsches Textarchiv project at the Berlin-Brandenburg Academy of Sciences and Humanities to prepare a corpus of historical German text for part-of-speech tagging, lemmatization, and integration into a robust online information retrieval system.
The article summarizes the contents and the structurtal premises of the “Thesaurus Indogermanischer Text- und Sprachmaterialien” (TITUS), focussing on search functions and facilities and questions of the encoding of ancient languages written in various scripts. Examples are taken from Tocharian, Greek, Vedic Sanskrit, and other ancient Indo-European languages covered by TITUS.
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.