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authorgraehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-08-07 03:41:32 +0000
committergraehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-08-07 03:41:32 +0000
commit5c40dcfe323dbf95a16a995588a77f393d42749c (patch)
tree025f1c5f0add6b134f4173c475b0a2321288fb14 /decoder/feature_vector.h
parentaaac9f8ee73ba59b72609af9a78b167312a6dac7 (diff)
apply fsa models (so far only by bottom up) in cdec
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@487 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'decoder/feature_vector.h')
-rwxr-xr-xdecoder/feature_vector.h4
1 files changed, 4 insertions, 0 deletions
diff --git a/decoder/feature_vector.h b/decoder/feature_vector.h
index 1b272506..be378a6a 100755
--- a/decoder/feature_vector.h
+++ b/decoder/feature_vector.h
@@ -11,4 +11,8 @@ typedef SparseVector<Featval> FeatureVector;
typedef SparseVector<Featval> WeightVector;
typedef std::vector<Featval> DenseWeightVector;
+inline void sparse_to_dense(WeightVector const& wv,DenseWeightVector *dv) {
+ wv.init_vector(dv);
+}
+
#endif