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authorWu, Ke <wuke@cs.umd.edu>2014-12-17 16:11:38 -0500
committerWu, Ke <wuke@cs.umd.edu>2014-12-17 16:11:38 -0500
commit1613f1fc44ca67820afd7e7b21eb54b316c8ce55 (patch)
treee02b77084f28a18df6b854f87a986124db44d717 /decoder/bottom_up_parser-rs.cc
parentbd9308e22b5434aa220cc57d82ee867464a011f1 (diff)
parent796768086a687d3f1856fef6489c34fe4d373642 (diff)
Merge with upstream
Diffstat (limited to 'decoder/bottom_up_parser-rs.cc')
-rw-r--r--decoder/bottom_up_parser-rs.cc341
1 files changed, 341 insertions, 0 deletions
diff --git a/decoder/bottom_up_parser-rs.cc b/decoder/bottom_up_parser-rs.cc
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+++ b/decoder/bottom_up_parser-rs.cc
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+#include "bottom_up_parser-rs.h"
+
+#include <iostream>
+#include <map>
+
+#include "node_state_hash.h"
+#include "nt_span.h"
+#include "hg.h"
+#include "array2d.h"
+#include "tdict.h"
+#include "verbose.h"
+
+using namespace std;
+
+static WordID kEPS = 0;
+
+struct RSActiveItem;
+class RSChart {
+ public:
+ RSChart(const string& goal,
+ const vector<GrammarPtr>& grammars,
+ const Lattice& input,
+ Hypergraph* forest);
+ ~RSChart();
+
+ void AddToChart(const RSActiveItem& x, int i, int j);
+ void ConsumeTerminal(const RSActiveItem& x, int i, int j, int k);
+ void ConsumeNonTerminal(const RSActiveItem& x, int i, int j, int k);
+ bool Parse();
+ inline bool GoalFound() const { return goal_idx_ >= 0; }
+ inline int GetGoalIndex() const { return goal_idx_; }
+
+ private:
+ void ApplyRules(const int i,
+ const int j,
+ const RuleBin* rules,
+ const Hypergraph::TailNodeVector& tail,
+ const float lattice_cost);
+
+ // returns true if a new node was added to the chart
+ // false otherwise
+ bool ApplyRule(const int i,
+ const int j,
+ const TRulePtr& r,
+ const Hypergraph::TailNodeVector& ant_nodes,
+ const float lattice_cost);
+
+ void ApplyUnaryRules(const int i, const int j, const WordID& cat, unsigned nodeidx);
+ void TopoSortUnaries();
+
+ const vector<GrammarPtr>& grammars_;
+ const Lattice& input_;
+ Hypergraph* forest_;
+ Array2D<vector<int>> chart_; // chart_(i,j) is the list of nodes (represented
+ // by their index in forest_->nodes_) derived spanning i,j
+ typedef map<int, int> Cat2NodeMap;
+ Array2D<Cat2NodeMap> nodemap_;
+ const WordID goal_cat_; // category that is being searched for at [0,n]
+ TRulePtr goal_rule_;
+ int goal_idx_; // index of goal node, if found
+ const int lc_fid_;
+ vector<TRulePtr> unaries_; // topologically sorted list of unary rules from all grammars
+
+ static WordID kGOAL; // [Goal]
+};
+
+WordID RSChart::kGOAL = 0;
+
+// "a type-2 is identified by a trie node, an array of back-pointers to antecedent cells, and a span"
+struct RSActiveItem {
+ explicit RSActiveItem(const GrammarIter* g, int i) :
+ gptr_(g), ant_nodes_(), lattice_cost(0.0), i_(i) {}
+ void ExtendTerminal(int symbol, float src_cost) {
+ lattice_cost += src_cost;
+ if (symbol != kEPS)
+ gptr_ = gptr_->Extend(symbol);
+ }
+ void ExtendNonTerminal(const Hypergraph* hg, int node_index) {
+ gptr_ = gptr_->Extend(hg->nodes_[node_index].cat_);
+ ant_nodes_.push_back(node_index);
+ }
+ // returns false if the extension has failed
+ explicit operator bool() const {
+ return gptr_;
+ }
+ const GrammarIter* gptr_;
+ Hypergraph::TailNodeVector ant_nodes_;
+ float lattice_cost; // TODO: use SparseVector<double> to encode input features
+ short i_;
+};
+
+// some notes on the implementation
+// "X" in Rico's Algorithm 2 roughly looks like it is just a pointer into a grammar
+// trie, but it is actually a full "dotted item" since it needs to contain the information
+// to build the hypergraph (i.e., it must remember the antecedent nodes and where they are,
+// also any information about the path costs).
+
+RSChart::RSChart(const string& goal,
+ const vector<GrammarPtr>& grammars,
+ const Lattice& input,
+ Hypergraph* forest) :
+ grammars_(grammars),
+ input_(input),
+ forest_(forest),
+ chart_(input.size()+1, input.size()+1),
+ nodemap_(input.size()+1, input.size()+1),
+ goal_cat_(TD::Convert(goal) * -1),
+ goal_rule_(new TRule("[Goal] ||| [" + goal + "] ||| [1]")),
+ goal_idx_(-1),
+ lc_fid_(FD::Convert("LatticeCost")),
+ unaries_() {
+ for (unsigned i = 0; i < grammars_.size(); ++i) {
+ const vector<TRulePtr>& u = grammars_[i]->GetAllUnaryRules();
+ for (unsigned j = 0; j < u.size(); ++j)
+ unaries_.push_back(u[j]);
+ }
+ TopoSortUnaries();
+ if (!kGOAL) kGOAL = TD::Convert("Goal") * -1;
+ if (!SILENT) cerr << " Goal category: [" << goal << ']' << endl;
+}
+
+static bool TopoSortVisit(int node, vector<TRulePtr>& u, const map<int, vector<TRulePtr> >& g, map<int, int>& mark) {
+ if (mark[node] == 1) {
+ cerr << "[ERROR] Unary rule cycle detected involving [" << TD::Convert(-node) << "]\n";
+ return false; // cycle detected
+ } else if (mark[node] == 2) {
+ return true; // already been
+ }
+ mark[node] = 1;
+ const map<int, vector<TRulePtr> >::const_iterator nit = g.find(node);
+ if (nit != g.end()) {
+ const vector<TRulePtr>& edges = nit->second;
+ vector<bool> okay(edges.size(), true);
+ for (unsigned i = 0; i < edges.size(); ++i) {
+ okay[i] = TopoSortVisit(edges[i]->lhs_, u, g, mark);
+ if (!okay[i]) {
+ cerr << "[ERROR] Unary rule cycle detected, removing: " << edges[i]->AsString() << endl;
+ }
+ }
+ for (unsigned i = 0; i < edges.size(); ++i) {
+ if (okay[i]) u.push_back(edges[i]);
+ //if (okay[i]) cerr << "UNARY: " << edges[i]->AsString() << endl;
+ }
+ }
+ mark[node] = 2;
+ return true;
+}
+
+void RSChart::TopoSortUnaries() {
+ vector<TRulePtr> u(unaries_.size()); u.clear();
+ map<int, vector<TRulePtr> > g;
+ map<int, int> mark;
+ //cerr << "GOAL=" << TD::Convert(-goal_cat_) << endl;
+ mark[goal_cat_] = 2;
+ for (unsigned i = 0; i < unaries_.size(); ++i) {
+ //cerr << "Adding: " << unaries_[i]->AsString() << endl;
+ g[unaries_[i]->f()[0]].push_back(unaries_[i]);
+ }
+ //m[unaries_[i]->lhs_].push_back(unaries_[i]);
+ for (map<int, vector<TRulePtr> >::iterator it = g.begin(); it != g.end(); ++it) {
+ //cerr << "PROC: " << TD::Convert(-it->first) << endl;
+ if (mark[it->first] > 0) {
+ //cerr << "Already saw [" << TD::Convert(-it->first) << "]\n";
+ } else {
+ TopoSortVisit(it->first, u, g, mark);
+ }
+ }
+ unaries_.clear();
+ for (int i = u.size() - 1; i >= 0; --i)
+ unaries_.push_back(u[i]);
+}
+
+bool RSChart::ApplyRule(const int i,
+ const int j,
+ const TRulePtr& r,
+ const Hypergraph::TailNodeVector& ant_nodes,
+ const float lattice_cost) {
+ Hypergraph::Edge* new_edge = forest_->AddEdge(r, ant_nodes);
+ //cerr << i << " " << j << ": APPLYING RULE: " << r->AsString() << endl;
+ new_edge->prev_i_ = r->prev_i;
+ new_edge->prev_j_ = r->prev_j;
+ new_edge->i_ = i;
+ new_edge->j_ = j;
+ new_edge->feature_values_ = r->GetFeatureValues();
+ if (lattice_cost && lc_fid_)
+ new_edge->feature_values_.set_value(lc_fid_, lattice_cost);
+ Cat2NodeMap& c2n = nodemap_(i,j);
+ const bool is_goal = (r->GetLHS() == kGOAL);
+ const Cat2NodeMap::iterator ni = c2n.find(r->GetLHS());
+ Hypergraph::Node* node = NULL;
+ bool added_node = false;
+ if (ni == c2n.end()) {
+ //cerr << "(" << i << "," << j << ") => " << TD::Convert(-r->GetLHS()) << endl;
+ added_node = true;
+ node = forest_->AddNode(r->GetLHS());
+ c2n[r->GetLHS()] = node->id_;
+ if (is_goal) {
+ assert(goal_idx_ == -1);
+ goal_idx_ = node->id_;
+ } else {
+ chart_(i,j).push_back(node->id_);
+ }
+ } else {
+ node = &forest_->nodes_[ni->second];
+ }
+ forest_->ConnectEdgeToHeadNode(new_edge, node);
+ return added_node;
+}
+
+void RSChart::ApplyRules(const int i,
+ const int j,
+ const RuleBin* rules,
+ const Hypergraph::TailNodeVector& tail,
+ const float lattice_cost) {
+ const int n = rules->GetNumRules();
+ //cerr << i << " " << j << ": NUM RULES: " << n << endl;
+ for (int k = 0; k < n; ++k) {
+ //cerr << i << " " << j << ": R=" << rules->GetIthRule(k)->AsString() << endl;
+ TRulePtr rule = rules->GetIthRule(k);
+ // apply rule, and if we create a new node, apply any necessary
+ // unary rules
+ if (ApplyRule(i, j, rule, tail, lattice_cost)) {
+ unsigned nodeidx = nodemap_(i,j)[rule->lhs_];
+ ApplyUnaryRules(i, j, rule->lhs_, nodeidx);
+ }
+ }
+}
+
+void RSChart::ApplyUnaryRules(const int i, const int j, const WordID& cat, unsigned nodeidx) {
+ for (unsigned ri = 0; ri < unaries_.size(); ++ri) {
+ //cerr << "At (" << i << "," << j << "): applying " << unaries_[ri]->AsString() << endl;
+ if (unaries_[ri]->f()[0] == cat) {
+ //cerr << " --MATCH\n";
+ WordID new_lhs = unaries_[ri]->GetLHS();
+ const Hypergraph::TailNodeVector ant(1, nodeidx);
+ if (ApplyRule(i, j, unaries_[ri], ant, 0)) {
+ //cerr << "(" << i << "," << j << ") " << TD::Convert(-cat) << " ---> " << TD::Convert(-new_lhs) << endl;
+ unsigned nodeidx = nodemap_(i,j)[new_lhs];
+ ApplyUnaryRules(i, j, new_lhs, nodeidx);
+ }
+ }
+ }
+}
+
+void RSChart::AddToChart(const RSActiveItem& x, int i, int j) {
+ // deal with completed rules
+ const RuleBin* rb = x.gptr_->GetRules();
+ if (rb) ApplyRules(i, j, rb, x.ant_nodes_, x.lattice_cost);
+
+ //cerr << "Rules applied ... looking for extensions to consume for span (" << i << "," << j << ")\n";
+ // continue looking for extensions of the rule to the right
+ for (unsigned k = j+1; k <= input_.size(); ++k) {
+ ConsumeTerminal(x, i, j, k);
+ ConsumeNonTerminal(x, i, j, k);
+ }
+}
+
+void RSChart::ConsumeTerminal(const RSActiveItem& x, int i, int j, int k) {
+ //cerr << "ConsumeT(" << i << "," << j << "," << k << "):\n";
+
+ const unsigned check_edge_len = k - j;
+ // long-term TODO preindex this search so i->len->words is constant time rather than fan out
+ for (auto& in_edge : input_[j]) {
+ if (in_edge.dist2next == check_edge_len) {
+ //cerr << " Found word spanning (" << j << "," << k << ") in input, symbol=" << TD::Convert(in_edge.label) << endl;
+ RSActiveItem copy = x;
+ copy.ExtendTerminal(in_edge.label, in_edge.cost);
+ if (copy) AddToChart(copy, i, k);
+ }
+ }
+}
+
+void RSChart::ConsumeNonTerminal(const RSActiveItem& x, int i, int j, int k) {
+ //cerr << "ConsumeNT(" << i << "," << j << "," << k << "):\n";
+ for (auto& nodeidx : chart_(j,k)) {
+ //cerr << " Found completed NT in (" << j << "," << k << ") of type " << TD::Convert(-forest_->nodes_[nodeidx].cat_) << endl;
+ RSActiveItem copy = x;
+ copy.ExtendNonTerminal(forest_, nodeidx);
+ if (copy) AddToChart(copy, i, k);
+ }
+}
+
+bool RSChart::Parse() {
+ size_t in_size_2 = input_.size() * input_.size();
+ forest_->nodes_.reserve(in_size_2 * 2);
+ size_t res = min(static_cast<size_t>(2000000), static_cast<size_t>(in_size_2 * 1000));
+ forest_->edges_.reserve(res);
+ goal_idx_ = -1;
+ const int N = input_.size();
+ for (int i = N - 1; i >= 0; --i) {
+ for (int j = i + 1; j <= N; ++j) {
+ for (unsigned gi = 0; gi < grammars_.size(); ++gi) {
+ RSActiveItem item(grammars_[gi]->GetRoot(), i);
+ ConsumeTerminal(item, i, i, j);
+ }
+ for (unsigned gi = 0; gi < grammars_.size(); ++gi) {
+ RSActiveItem item(grammars_[gi]->GetRoot(), i);
+ ConsumeNonTerminal(item, i, i, j);
+ }
+ }
+ }
+
+ // look for goal
+ const vector<int>& dh = chart_(0, input_.size());
+ for (unsigned di = 0; di < dh.size(); ++di) {
+ const Hypergraph::Node& node = forest_->nodes_[dh[di]];
+ if (node.cat_ == goal_cat_) {
+ Hypergraph::TailNodeVector ant(1, node.id_);
+ ApplyRule(0, input_.size(), goal_rule_, ant, 0);
+ }
+ }
+ if (!SILENT) cerr << endl;
+
+ if (GoalFound())
+ forest_->PruneUnreachable(forest_->nodes_.size() - 1);
+ return GoalFound();
+}
+
+RSChart::~RSChart() {}
+
+RSExhaustiveBottomUpParser::RSExhaustiveBottomUpParser(
+ const string& goal_sym,
+ const vector<GrammarPtr>& grammars) :
+ goal_sym_(goal_sym),
+ grammars_(grammars) {}
+
+bool RSExhaustiveBottomUpParser::Parse(const Lattice& input,
+ Hypergraph* forest) const {
+ kEPS = TD::Convert("*EPS*");
+ RSChart chart(goal_sym_, grammars_, input, forest);
+ const bool result = chart.Parse();
+
+ if (result) {
+ for (auto& node : forest->nodes_) {
+ Span prev;
+ const Span s = forest->NodeSpan(node.id_, &prev);
+ node.node_hash = cdec::HashNode(node.cat_, s.l, s.r, prev.l, prev.r);
+ }
+ }
+ return result;
+}