#include "aligner.h" #include #include #include #include "array2d.h" #include "hg.h" #include "kbest.h" #include "sentence_metadata.h" #include "inside_outside.h" #include "viterbi.h" #include "alignment_pharaoh.h" using namespace std; // used with lexical models since they may not fully generate the // source string void SourceEdgeCoveragesUsingParseIndices(const Hypergraph& g, vector >* src_cov) { src_cov->clear(); src_cov->resize(g.edges_.size()); for (int i = 0; i < g.edges_.size(); ++i) { const Hypergraph::Edge& edge = g.edges_[i]; set& cov = (*src_cov)[i]; // no words if (edge.rule_->EWords() == 0 || edge.rule_->FWords() == 0) continue; // aligned to NULL (crf ibm variant only) if (edge.prev_i_ == -1 || edge.i_ == -1) { cov.insert(-1); continue; } assert(edge.j_ >= 0); assert(edge.prev_j_ >= 0); if (edge.Arity() == 0) { for (int k = edge.prev_i_; k < edge.prev_j_; ++k) cov.insert(k); } else { // note: this code, which handles mixed NT and terminal // rules assumes that nodes uniquely define a src and trg // span. int k = edge.prev_i_; int j = 0; const vector& f = edge.rule_->e(); // rules are inverted while (k < edge.prev_j_) { if (f[j] > 0) { cov.insert(k); // cerr << "src: " << k << endl; ++k; ++j; } else { const Hypergraph::Node& tailnode = g.nodes_[edge.tail_nodes_[-f[j]]]; assert(tailnode.in_edges_.size() > 0); // any edge will do: const Hypergraph::Edge& rep_edge = g.edges_[tailnode.in_edges_.front()]; //cerr << "skip " << (rep_edge.prev_j_ - rep_edge.prev_i_) << endl; // src span k += (rep_edge.prev_j_ - rep_edge.prev_i_); // src span ++j; } } } } } int SourceEdgeCoveragesUsingTree(const Hypergraph& g, int node_id, int span_start, vector* spans, vector >* src_cov) { const Hypergraph::Node& node = g.nodes_[node_id]; int k = -1; for (int i = 0; i < node.in_edges_.size(); ++i) { const int edge_id = node.in_edges_[i]; const Hypergraph::Edge& edge = g.edges_[edge_id]; set& cov = (*src_cov)[edge_id]; const vector& f = edge.rule_->e(); // rules are inverted int j = 0; k = span_start; while (j < f.size()) { if (f[j] > 0) { cov.insert(k); ++k; ++j; } else { const int tail_node_id = edge.tail_nodes_[-f[j]]; int &right_edge = (*spans)[tail_node_id]; if (right_edge < 0) right_edge = SourceEdgeCoveragesUsingTree(g, tail_node_id, k, spans, src_cov); k = right_edge; ++j; } } } return k; } void SourceEdgeCoveragesUsingTree(const Hypergraph& g, vector >* src_cov) { src_cov->clear(); src_cov->resize(g.edges_.size()); vector span_sizes(g.nodes_.size(), -1); SourceEdgeCoveragesUsingTree(g, g.nodes_.size() - 1, 0, &span_sizes, src_cov); } int TargetEdgeCoveragesUsingTree(const Hypergraph& g, int node_id, int span_start, vector* spans, vector >* trg_cov) { const Hypergraph::Node& node = g.nodes_[node_id]; int k = -1; for (int i = 0; i < node.in_edges_.size(); ++i) { const int edge_id = node.in_edges_[i]; const Hypergraph::Edge& edge = g.edges_[edge_id]; set& cov = (*trg_cov)[edge_id]; int ntc = 0; const vector& e = edge.rule_->f(); // rules are inverted int j = 0; k = span_start; while (j < e.size()) { if (e[j] > 0) { cov.insert(k); ++k; ++j; } else { const int tail_node_id = edge.tail_nodes_[ntc]; ++ntc; int &right_edge = (*spans)[tail_node_id]; if (right_edge < 0) right_edge = TargetEdgeCoveragesUsingTree(g, tail_node_id, k, spans, trg_cov); k = right_edge; ++j; } } // cerr << "node=" << node_id << ": k=" << k << endl; } return k; } void TargetEdgeCoveragesUsingTree(const Hypergraph& g, vector >* trg_cov) { trg_cov->clear(); trg_cov->resize(g.edges_.size()); vector span_sizes(g.nodes_.size(), -1); TargetEdgeCoveragesUsingTree(g, g.nodes_.size() - 1, 0, &span_sizes, trg_cov); } struct TransitionEventWeightFunction { typedef SparseVector Result; inline SparseVector operator()(const Hypergraph::Edge& e) const { SparseVector result; result.set_value(e.id_, e.edge_prob_); return result; } }; inline void WriteProbGrid(const Array2D& m, ostream* pos) { ostream& os = *pos; char b[1024]; for (int i=0; i* edges) { bool fix_up_src_spans = false; if (k_best > 1 && edges) { cerr << "ERROR: cannot request multiple best alignments and provide an edge set!\n"; abort(); } if (map_instead_of_viterbi) { if (k_best != 0) { cerr << "WARNING: K-best alignment extraction not available for MAP, use --aligner_use_viterbi\n"; } k_best = 1; } else { if (k_best == 0) k_best = 1; } const Hypergraph* g = &in_g; HypergraphP new_hg; if (!src_lattice.IsSentence() || !trg_lattice.IsSentence()) { if (map_instead_of_viterbi) { cerr << " Lattice alignment: using Viterbi instead of MAP alignment\n"; } map_instead_of_viterbi = false; fix_up_src_spans = !src_lattice.IsSentence(); } KBest::KBestDerivations, ViterbiPathTraversal> kbest(in_g, k_best); boost::scoped_ptr > kbest_edges; for (int best = 0; best < k_best; ++best) { const KBest::KBestDerivations, ViterbiPathTraversal>::Derivation* d = NULL; if (!map_instead_of_viterbi) { d = kbest.LazyKthBest(in_g.nodes_.size() - 1, best); if (!d) break; // there are fewer than k_best derivations! const vector& yield = d->yield; kbest_edges.reset(new vector(in_g.edges_.size(), false)); for (int i = 0; i < yield.size(); ++i) { assert(yield[i]->id_ < kbest_edges->size()); (*kbest_edges)[yield[i]->id_] = true; } } if (!map_instead_of_viterbi || edges) { if (kbest_edges) edges = kbest_edges.get(); new_hg = in_g.CreateViterbiHypergraph(edges); for (int i = 0; i < new_hg->edges_.size(); ++i) new_hg->edges_[i].edge_prob_ = prob_t::One(); g = new_hg.get(); } vector edge_posteriors(g->edges_.size(), prob_t::Zero()); vector trg_sent; vector src_sent; if (fix_up_src_spans) { ViterbiESentence(*g, &src_sent); } else { src_sent.resize(src_lattice.size()); for (int i = 0; i < src_sent.size(); ++i) src_sent[i] = src_lattice[i][0].label; } ViterbiFSentence(*g, &trg_sent); if (edges || !map_instead_of_viterbi) { for (int i = 0; i < edge_posteriors.size(); ++i) edge_posteriors[i] = prob_t::One(); } else { SparseVector posts; const prob_t z = InsideOutside, TransitionEventWeightFunction>(*g, &posts); for (int i = 0; i < edge_posteriors.size(); ++i) edge_posteriors[i] = posts.value(i) / z; } vector > src_cov(g->edges_.size()); vector > trg_cov(g->edges_.size()); TargetEdgeCoveragesUsingTree(*g, &trg_cov); if (fix_up_src_spans) SourceEdgeCoveragesUsingTree(*g, &src_cov); else SourceEdgeCoveragesUsingParseIndices(*g, &src_cov); // figure out the src and reference size; int src_size = src_sent.size(); int ref_size = trg_sent.size(); Array2D align(src_size + 1, ref_size, prob_t::Zero()); for (int c = 0; c < g->edges_.size(); ++c) { const prob_t& p = edge_posteriors[c]; const set& srcs = src_cov[c]; const set& trgs = trg_cov[c]; for (set::const_iterator si = srcs.begin(); si != srcs.end(); ++si) { for (set::const_iterator ti = trgs.begin(); ti != trgs.end(); ++ti) { align(*si + 1, *ti) += p; } } } new_hg.reset(); //if (g != &in_g) { g.reset(); } prob_t threshold(0.9); const bool use_soft_threshold = true; // TODO configure Array2D grid(src_size, ref_size, false); for (int j = 0; j < ref_size; ++j) { if (use_soft_threshold) { threshold = prob_t::Zero(); for (int i = 0; i <= src_size; ++i) if (align(i, j) > threshold) threshold = align(i, j); //threshold *= prob_t(0.99); } for (int i = 0; i < src_size; ++i) grid(i, j) = align(i+1, j) >= threshold; } if (out == &cout && k_best < 2) { // TODO need to do some sort of verbose flag WriteProbGrid(align, &cerr); cerr << grid << endl; } (*out) << TD::GetString(src_sent) << " ||| " << TD::GetString(trg_sent) << " ||| "; AlignmentPharaoh::SerializePharaohFormat(grid, out); } };