summaryrefslogtreecommitdiff
path: root/decoder
diff options
context:
space:
mode:
authorgraehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-07-13 02:01:07 +0000
committergraehl <graehl@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-07-13 02:01:07 +0000
commit61559eee0fcc46192a2bb3ecfcd3d4a526b6f848 (patch)
tree2c22aec737421a1f2876381d514d553dc38371d1 /decoder
parentfc5860d6df8c30149cee280f38d7a11889102663 (diff)
vest: combine over-similar search directions, exclude primary directions, skeleton for oracle directions
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@227 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'decoder')
-rw-r--r--decoder/grammar.cc9
-rw-r--r--decoder/sparse_vector.h32
2 files changed, 28 insertions, 13 deletions
diff --git a/decoder/grammar.cc b/decoder/grammar.cc
index 5eb7887d..499e79fe 100644
--- a/decoder/grammar.cc
+++ b/decoder/grammar.cc
@@ -71,7 +71,7 @@ struct TGImpl {
};
TextGrammar::TextGrammar() : max_span_(10), pimpl_(new TGImpl) {}
-TextGrammar::TextGrammar(const string& file) :
+TextGrammar::TextGrammar(const string& file) :
max_span_(10),
pimpl_(new TGImpl) {
ReadFromFile(file);
@@ -104,7 +104,7 @@ void TextGrammar::ReadFromFile(const string& filename) {
RuleLexer::ReadRules(in.stream(), &AddRuleHelper, this);
}
-bool TextGrammar::HasRuleForSpan(int i, int j, int distance) const {
+bool TextGrammar::HasRuleForSpan(int /* i */, int /* j */, int distance) const {
return (max_span_ >= distance);
}
@@ -121,8 +121,7 @@ GlueGrammar::GlueGrammar(const string& goal_nt, const string& default_nt) {
//cerr << "GLUE: " << glue->AsString() << endl;
}
-bool GlueGrammar::HasRuleForSpan(int i, int j, int distance) const {
- (void) j;
+bool GlueGrammar::HasRuleForSpan(int i, int /* j */, int /* distance */) const {
return (i == 0);
}
@@ -141,7 +140,7 @@ PassThroughGrammar::PassThroughGrammar(const Lattice& input, const string& cat)
}
}
-bool PassThroughGrammar::HasRuleForSpan(int i, int j, int distance) const {
+bool PassThroughGrammar::HasRuleForSpan(int i, int j, int /* distance */) const {
const set<int>& hr = has_rule_[i];
if (i == j) { return !hr.empty(); }
return (hr.find(j) != hr.end());
diff --git a/decoder/sparse_vector.h b/decoder/sparse_vector.h
index be91f324..bfdeebcc 100644
--- a/decoder/sparse_vector.h
+++ b/decoder/sparse_vector.h
@@ -58,7 +58,7 @@ public:
}
int max_index() const {
- if (values_.empty()) return 0;
+ if (empty()) return 0;
typename MapType::const_iterator found =values_.end();
--found;
return found->first;
@@ -75,6 +75,18 @@ public:
}
template<typename S>
+ S cosine_sim(const SparseVector<S> &vec) const {
+ return dot(vec)/(l2norm()*vec.l2norm());
+ }
+
+ // if values are binary, gives |A intersect B|/|A union B|
+ template<typename S>
+ S tanimoto_coef(const SparseVector<S> &vec) const {
+ S dp=dot(vec);
+ return dp/(l2norm_sq()*vec.l2norm_sq()-dp);
+ }
+
+ template<typename S>
S dot(const SparseVector<S> &vec) const {
S sum = 0;
for (typename MapType::const_iterator
@@ -119,12 +131,16 @@ public:
return sum;
}
- T l2norm() const {
+ T l2norm_sq() const {
T sum = 0;
for (typename MapType::const_iterator
it = values_.begin(); it != values_.end(); ++it)
sum += it->second * it->second;
- return sqrt(sum);
+ return sum;
+ }
+
+ T l2norm() const {
+ return sqrt(l2norm_sq());
}
SparseVector<T> &operator+=(const SparseVector<T> &other) {
@@ -149,14 +165,14 @@ public:
return *this;
}
- SparseVector<T> &operator-=(const double &x) {
+ SparseVector<T> &operator-=(T const& x) {
for (typename MapType::iterator
it = values_.begin(); it != values_.end(); ++it)
it->second -= x;
return *this;
}
- SparseVector<T> &operator+=(const double &x) {
+ SparseVector<T> &operator+=(T const& x) {
for (typename MapType::iterator
it = values_.begin(); it != values_.end(); ++it)
it->second += x;
@@ -177,17 +193,17 @@ public:
return *this;
}
- SparseVector<T> operator+(const double &x) const {
+ SparseVector<T> operator+(T const& x) const {
SparseVector<T> result = *this;
return result += x;
}
- SparseVector<T> operator-(const double &x) const {
+ SparseVector<T> operator-(T const& x) const {
SparseVector<T> result = *this;
return result -= x;
}
- SparseVector<T> operator/(const double &x) const {
+ SparseVector<T> operator/(T const& x) const {
SparseVector<T> result = *this;
return result /= x;
}