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| author | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2012-07-08 14:26:51 +0200 |
|---|---|---|
| committer | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2012-07-08 14:26:51 +0200 |
| commit | c139ce495861bb341e1b86a85ad4559f9ad53c14 (patch) | |
| tree | 1071839ee458f21f169ce06fc536fefe07e4c65d /python/test.py | |
| parent | 3a94ac22e5c60aa205f2b3dadf81b0666500e0c3 (diff) | |
| parent | d01e5b66d3010d61b9b56301fd7f302dd4ea5bc8 (diff) | |
Merge branch 'master' of github.com:pks/cdec-dtrain
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) |