First version checked in in Github, main functions:
1. Create a cumulated frequencies for lowest common subsumbers (wordnet hypernyms) from a corpus frequency file.
2. Derive the average depth of the full hierarchy using the hypernym relations
3. Read a file with word pairs to calculate similarity scores according to various measures: path, Jiang Conrath, Leacock & Chodorow, Resnik, Lin, Wu & Palmer.
4. Create a subhierarchy of wordnet for a restricted set of input words
5. Tag a file in the KYOTO Annotation Format with all the meanings of the Wordnet-LMF file
6. Create a ontotag file from set of labeled hypernym synsets