The main goal of the project is to develop a language-knowledge database for natural language processing. An ideal result is a graph, that would be helpful in a word-sense disambiguation. WordNet, RuWordNed, and FrameNet are proposed to be used. Project steps:
- Converting WordNet into a graph representation. 2* Importing FrameNet. 3* Providing access for dictionaries. 4* Populating original graph with relations from the Text<=>Meaning Theory. 5* Importing RuWordNet. 6* Providing English-Russian support.