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| author | Patrick Simianer <p@simianer.de> | 2012-07-03 15:43:20 +0200 |
|---|---|---|
| committer | Patrick Simianer <p@simianer.de> | 2012-07-03 15:43:20 +0200 |
| commit | 96bb9719858dd1600d70a3affee42d0e0c5cd862 (patch) | |
| tree | f762a5f84b1b72aa4cbb84ae87b2697daef7c727 /python/test.py | |
| parent | a2422421fbbaf20ad5dbe44a7ef84df53e0a3e76 (diff) | |
| parent | 2153329ff36f50fd8e23e57cb0fae7bfbe207bda (diff) | |
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'python/test.py')
| -rw-r--r-- | python/test.py | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/python/test.py b/python/test.py index 92403298..8069aa0a 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): @@ -58,3 +60,6 @@ print forest.viterbi_source_tree() # Compare 1best and reference feature vectors fref = forest.viterbi_features() print dict(fsrc - fref) + +# Prune hypergraph +forest.prune(density=100) |