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-rw-r--r--mteval/Makefile.am2
-rw-r--r--mteval/ns_ssk.cc32
-rw-r--r--mteval/ns_ssk.h22
3 files changed, 56 insertions, 0 deletions
diff --git a/mteval/Makefile.am b/mteval/Makefile.am
index 83adee17..681e798e 100644
--- a/mteval/Makefile.am
+++ b/mteval/Makefile.am
@@ -19,6 +19,7 @@ libmteval_a_SOURCES = \
ns_comb.h \
ns_docscorer.h \
ns_ext.h \
+ ns_ssk.h \
ns_ter.h \
scorer.h \
ter.h \
@@ -31,6 +32,7 @@ libmteval_a_SOURCES = \
ns_comb.cc \
ns_docscorer.cc \
ns_ext.cc \
+ ns_ssk.cc \
ns_ter.cc \
scorer.cc \
ter.cc
diff --git a/mteval/ns_ssk.cc b/mteval/ns_ssk.cc
new file mode 100644
index 00000000..c94e62ca
--- /dev/null
+++ b/mteval/ns_ssk.cc
@@ -0,0 +1,32 @@
+#include "ns_ssk.h"
+
+#include <vector>
+
+#include "kernel_string_subseq.h"
+#include "tdict.h"
+
+static const unsigned kNUMFIELDS = 2;
+static const unsigned kSIMILARITY = 0;
+static const unsigned kCOUNT = 1;
+
+unsigned SSKMetric::SufficientStatisticsVectorSize() const {
+ return kNUMFIELDS;
+}
+
+void SSKMetric::ComputeSufficientStatistics(const std::vector<WordID>& hyp,
+ const std::vector<std::vector<WordID> >& refs,
+ SufficientStats* out) const {
+ out->fields.resize(kNUMFIELDS);
+ out->fields[kCOUNT] = 1;
+ float bestsim = 0;
+ for (unsigned i = 0; i < refs.size(); ++i) {
+ float s = ssk<4>(hyp, refs[i], 0.8);
+ if (s > bestsim) bestsim = s;
+ }
+ out->fields[kSIMILARITY] = bestsim;
+}
+
+float SSKMetric::ComputeScore(const SufficientStats& stats) const {
+ return stats.fields[kSIMILARITY] / stats.fields[kCOUNT];
+}
+
diff --git a/mteval/ns_ssk.h b/mteval/ns_ssk.h
new file mode 100644
index 00000000..0d418770
--- /dev/null
+++ b/mteval/ns_ssk.h
@@ -0,0 +1,22 @@
+#ifndef _NS_SSK_H_
+#define _NS_SSK_H_
+
+#include "ns.h"
+
+class SSKMetric : public EvaluationMetric {
+ friend class EvaluationMetric;
+ private:
+ unsigned EditDistance(const std::string& hyp,
+ const std::string& ref) const;
+ protected:
+ SSKMetric() : EvaluationMetric("SSK") {}
+
+ public:
+ virtual unsigned SufficientStatisticsVectorSize() const;
+ virtual void ComputeSufficientStatistics(const std::vector<WordID>& hyp,
+ const std::vector<std::vector<WordID> >& refs,
+ SufficientStats* out) const;
+ virtual float ComputeScore(const SufficientStats& stats) const;
+};
+
+#endif