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- Akademienvorhaben Strukturen und Transformationen des Wortschatzes der ägyptischen Sprache. Text- und Wissenskultur im alten Ägypten (5) (remove)
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.
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.