modified:   mdl.py
-removed old code
modified:   automaton.py
only one comment format change
new file:   create_baseline_automaton.py
- creating a "tabular" wfsa, every word has its own state
new file:   encoder.py
- encodes an automaton, counts errors and everything, will be superior
  to mdl.py later
new file:   exp/exp01.py
- first experiment file, see header comment
modified:   create_3state_wfsa.py
- get_morpheme_frequencies() fix:
  - "O" removal
  - morphemes are in the corpus, so no splitting needed here (if
    somewhere, in the corpus reading, but definitely not here!)
- corpus reading now uses a separator
- inner EPSILON is EPSILON_1, because EPSILON_0 is a prefix
modified:   create_baseline_automaton.py
emission in this file should be always string and never a tuple
modified:   learner.py
- learning is now not printing anything
modified:   learner.py
- instead of previous printing, mdl/error results are returned instead
  of printing, and in other methods it still can be printed if needed
modified:   automaton.py
- finalize() now finalizes emits
- KeyError fix when there are no epsilon states(this wasn't an error
  before, changed finalize() showed this)
- some debug logs removed
- distance can be reverse as well
modified:   encoder.py
- corpus is now input of encode, not of __init__
- bit counting changed a lot related to omitting some values when default
modified:   exp/exp01.py
- it is implemented :)
(there is an error around baseline_morpheme_wfsa)