Search Results for "xml database"

Fresh Memory is an application that helps to learn large amounts of any material with Spaced Repetition method. The most important subject is learning foreign words, but Fresh Memory can be also used to learn anything else. The learning data is stored as flash cards and dictionaries. The flash cards may have several fields, and the user controls what combination of fields to learn. The flashcards can have formatted text and images.

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...

With this tool you can easily design a new language, digitize an existing one or incrementally reconstruct an ancient language. It allows for free experimentation of all aspects of the language, so it does not have to be made consistent on paper first. You can edit script, syntax, grammar, morphology, lexicon and phonology, as well as write documents in the language, as it might be too complex to be handled by current font technology. The information is stored in xml format for easy...

Lyreword is a flexible word generator for writers, role players, conlangers and everybody who seeks some inspiration for inventing words and names.

Python API to the german wordnet GermaNet. In the current state this can be only seen as a quickstart-help to access GermaNet. To be honest, this API can't be called API. To use it, you will need access to a licensed copy of GermaNet (version > 5).

TengVert is a tool to transcribe text from one alphabet into another, primarily used to convert roman writing into J.R.R. Tolkiens Tengwar script, known as "elfish letters" in Lord of the Rings.

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).