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-rw-r--r--src/hg_intersect.cc121
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diff --git a/src/hg_intersect.cc b/src/hg_intersect.cc
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+#include "hg_intersect.h"
+
+#include <vector>
+#include <tr1/unordered_map>
+#include <boost/lexical_cast.hpp>
+#include <boost/functional/hash.hpp>
+
+#include "tdict.h"
+#include "hg.h"
+#include "trule.h"
+#include "wordid.h"
+#include "bottom_up_parser.h"
+
+using boost::lexical_cast;
+using namespace std::tr1;
+using namespace std;
+
+struct RuleFilter {
+ unordered_map<vector<WordID>, bool, boost::hash<vector<WordID> > > exists_;
+ bool true_lattice;
+ RuleFilter(const Lattice& target, int max_phrase_size) {
+ true_lattice = false;
+ for (int i = 0; i < target.size(); ++i) {
+ vector<WordID> phrase;
+ int lim = min(static_cast<int>(target.size()), i + max_phrase_size);
+ for (int j = i; j < lim; ++j) {
+ if (target[j].size() > 1) { true_lattice = true; break; }
+ phrase.push_back(target[j][0].label);
+ exists_[phrase] = true;
+ }
+ }
+ vector<WordID> sos(1, TD::Convert("<s>"));
+ exists_[sos] = true;
+ }
+ bool operator()(const TRule& r) const {
+ // TODO do some smarter filtering for lattices
+ if (true_lattice) return false; // don't filter "true lattice" input
+ const vector<WordID>& e = r.e();
+ for (int i = 0; i < e.size(); ++i) {
+ if (e[i] <= 0) continue;
+ vector<WordID> phrase;
+ for (int j = i; j < e.size(); ++j) {
+ if (e[j] <= 0) break;
+ phrase.push_back(e[j]);
+ if (exists_.count(phrase) == 0) return true;
+ }
+ }
+ return false;
+ }
+};
+
+bool HG::Intersect(const Lattice& target, Hypergraph* hg) {
+ vector<bool> rem(hg->edges_.size(), false);
+ const RuleFilter filter(target, 15); // TODO make configurable
+ for (int i = 0; i < rem.size(); ++i)
+ rem[i] = filter(*hg->edges_[i].rule_);
+ hg->PruneEdges(rem);
+
+ const int nedges = hg->edges_.size();
+ const int nnodes = hg->nodes_.size();
+
+ TextGrammar* g = new TextGrammar;
+ GrammarPtr gp(g);
+ vector<int> cats(nnodes);
+ // each node in the translation forest becomes a "non-terminal" in the new
+ // grammar, create the labels here
+ for (int i = 0; i < nnodes; ++i)
+ cats[i] = TD::Convert("CAT_" + lexical_cast<string>(i)) * -1;
+
+ // construct the grammar
+ for (int i = 0; i < nedges; ++i) {
+ const Hypergraph::Edge& edge = hg->edges_[i];
+ const vector<WordID>& tgt = edge.rule_->e();
+ const vector<WordID>& src = edge.rule_->f();
+ TRulePtr rule(new TRule);
+ rule->prev_i = edge.i_;
+ rule->prev_j = edge.j_;
+ rule->lhs_ = cats[edge.head_node_];
+ vector<WordID>& f = rule->f_;
+ vector<WordID>& e = rule->e_;
+ f.resize(tgt.size()); // swap source and target, since the parser
+ e.resize(src.size()); // parses using the source side!
+ Hypergraph::TailNodeVector tn(edge.tail_nodes_.size());
+ int ntc = 0;
+ for (int j = 0; j < tgt.size(); ++j) {
+ const WordID& cur = tgt[j];
+ if (cur > 0) {
+ f[j] = cur;
+ } else {
+ tn[ntc++] = cur;
+ f[j] = cats[edge.tail_nodes_[-cur]];
+ }
+ }
+ ntc = 0;
+ for (int j = 0; j < src.size(); ++j) {
+ const WordID& cur = src[j];
+ if (cur > 0) {
+ e[j] = cur;
+ } else {
+ e[j] = tn[ntc++];
+ }
+ }
+ rule->scores_ = edge.feature_values_;
+ rule->parent_rule_ = edge.rule_;
+ rule->ComputeArity();
+ //cerr << "ADD: " << rule->AsString() << endl;
+
+ g->AddRule(rule);
+ }
+ g->SetMaxSpan(target.size() + 1);
+ const string& new_goal = TD::Convert(cats.back() * -1);
+ vector<GrammarPtr> grammars(1, gp);
+ Hypergraph tforest;
+ ExhaustiveBottomUpParser parser(new_goal, grammars);
+ if (!parser.Parse(target, &tforest))
+ return false;
+ else
+ hg->swap(tforest);
+ return true;
+}
+