IMB models of statistical mathine translation
- ibmmodel1.py
- implements IBM Model1
- ibmmodel2.py
- implements IBM Model2
- word_alignment.py
- implements symmetrization of word alignments
See each file and test codes written in test.py
Statistical Machine Translation implementation with Python: especially IBM Model1, 2, and phrase-based machine translation.
License: MIT License
NULL token isn't considered in IBM model1 and 2. It should be implemented.
https://github.com/kenkov/smt/blob/master/smt/phrase/word_alignment.py#L41
Are you just doing a set union here between e2f and f2e? From your sample test I don't see any results that contradict that.
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