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#ifndef _ARC_FACTORED_H_
#define _ARC_FACTORED_H_
#include <iostream>
#include <cassert>
#include <vector>
#include <utility>
#include "array2d.h"
#include "sparse_vector.h"
#include "prob.h"
#include "weights.h"
struct SpanningTree {
SpanningTree() : roots(1, -1) {}
std::vector<short> roots; // unless multiroot trees are supported, this
// will have a single member
std::vector<std::pair<short, short> > h_m_pairs;
};
class ArcFactoredForest {
public:
explicit ArcFactoredForest(short num_words) :
num_words_(num_words),
root_edges_(num_words),
edges_(num_words, num_words) {
for (int h = 0; h < num_words; ++h) {
for (int m = 0; m < num_words; ++m) {
edges_(h, m).h = h + 1;
edges_(h, m).m = m + 1;
}
root_edges_[h].h = 0;
root_edges_[h].m = h + 1;
}
}
// compute the maximum spanning tree based on the current weighting
// using the O(n^2) CLE algorithm
void MaximumSpanningTree(SpanningTree* st) const;
struct Edge {
Edge() : h(), m(), features(), edge_prob(prob_t::Zero()) {}
short h;
short m;
SparseVector<weight_t> features;
prob_t edge_prob;
};
const Edge& operator()(short h, short m) const {
assert(m > 0);
assert(m <= num_words_);
assert(h >= 0);
assert(h <= num_words_);
return h ? edges_(h - 1, m - 1) : root_edges_[m - 1];
}
Edge& operator()(short h, short m) {
assert(m > 0);
assert(m <= num_words_);
assert(h >= 0);
assert(h <= num_words_);
return h ? edges_(h - 1, m - 1) : root_edges_[m - 1];
}
template <class V>
void Reweight(const V& weights) {
for (int m = 0; m < num_words_; ++m) {
for (int h = 0; h < num_words_; ++h) {
if (h != m) {
Edge& e = edges_(h, m);
e.edge_prob.logeq(e.features.dot(weights));
}
}
Edge& e = root_edges_[m];
e.edge_prob.logeq(e.features.dot(weights));
}
}
private:
unsigned num_words_;
std::vector<Edge> root_edges_;
Array2D<Edge> edges_;
};
inline std::ostream& operator<<(std::ostream& os, const ArcFactoredForest::Edge& edge) {
return os << "(" << edge.h << " < " << edge.m << ")";
}
#endif
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