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Semantic annotation of archaeology reports with respect to CIDOC-CRM
The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK).
OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual...
OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.
This project is inspired by "lletters". It aims at displaying images and words corrosponding to alphabets but it integrates a "Text-To-Speech" (TTS) system to say out the words. The word list and corresponding images will be loaded from a XML file.
This project attempts to develop natural language processing routines as applied to a Bible text domain. Many common technologies (e.g., tokenization, Brill POS tagger) are used in conjunction with theoretical paradigms (e.g., hierarchical word definition trees, phrasal concordance).
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