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| author | Victor Chahuneau <vchahune@cs.cmu.edu> | 2012-07-01 00:38:30 -0400 |
|---|---|---|
| committer | Victor Chahuneau <vchahune@cs.cmu.edu> | 2012-07-01 00:38:30 -0400 |
| commit | 9619c91e3eea2e5eb13d42e02d39730189ebc577 (patch) | |
| tree | 709f3dbae6c4033564fdb67f48bf1e0fe7f16eac /python/test.py | |
| parent | b73722556f2bbc51736b716c613430250abef907 (diff) | |
[python] MT evaluation
Diffstat (limited to 'python/test.py')
| -rw-r--r-- | python/test.py | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/python/test.py b/python/test.py index 92403298..b3900eef 100644 --- a/python/test.py +++ b/python/test.py @@ -31,9 +31,11 @@ print ' FTree[0]:', forest.viterbi_source_tree().encode('utf8') print 'LgProb[0]:', forest.viterbi_features().dot(decoder.weights) # Get k-best translations -for i, (sentence, tree) in enumerate(zip(forest.kbest(5), forest.kbest_tree(5)), 1): +kbest = zip(forest.kbest(5), forest.kbest_tree(5), forest.kbest_features(5)) +for i, (sentence, tree, features) in enumerate(kbest, 1): print 'Output[%d]:' % i, sentence.encode('utf8') print ' Tree[%d]:' % i, tree.encode('utf8') + print ' FVect[%d]:' % i, dict(features) # Sample translations from the forest for sentence in forest.sample(5): |