Modified tagger.py: completely redid wordnet tagging into one function ('wordnet_tagger()'). This function only implements one pass (or iteration over the input list of tagged sentences applying a set of rules). It only handles the simplest and unambiguous (but quite frequent) case where all the synsets for the token have the same POS tag. EASY TODO: More details regarding the type of NN or VB tags in first pass. DIFFICULT TODO: Add a second pass that resolves ambiguity when more than one POS tag in synsets for a token. This could be done by looking at adjacent tags (W:[V/N] | W-1:[TO] => V; to VERB), by looking at word endings('ing', 'ed', 'ness', 'ment') or both. Also added a main() function, which returns the POS-tagged Epistemonikos corpus, and is meant to be used when importing tagger.py from chunker.py. Consequently, I also (slightly) modified chunker.py to use the new main() function in tagger.py.