Modified viterbi Decoding.
New HMM transition probabilities depend on length (french_sent,eng_sent)
Credit added to the scorer.
The new align.py has been edited in a few places to change the dict to return data in the format required by the HMM.

Resulting AER 38-40% on 10,000 sents (10 IBM iterations, 3 HMM iterations).
Merge https://github.com/todayman/word_alignment