#include "lexalign.h" #include #include "filelib.h" #include "hg.h" #include "tdict.h" #include "grammar.h" #include "sentence_metadata.h" using namespace std; struct LexicalAlignImpl { LexicalAlignImpl(const boost::program_options::variables_map& conf) : use_null(conf.count("lexcrf_use_null") > 0), kXCAT(TD::Convert("X")*-1), kNULL(TD::Convert("")), kBINARY(new TRule("[X] ||| [X,1] [X,2] ||| [1] [2]")), kGOAL_RULE(new TRule("[Goal] ||| [X,1] ||| [1]")) { } void BuildTrellis(const Lattice& lattice, const SentenceMetadata& smeta, Hypergraph* forest) { const int e_len = smeta.GetTargetLength(); assert(e_len > 0); const Lattice& target = smeta.GetReference(); const int f_len = lattice.size(); // hack to tell the feature function system how big the sentence pair is const int f_start = (use_null ? -1 : 0); int prev_node_id = -1; for (int i = 0; i < e_len; ++i) { // for each word in the *target* const WordID& e_i = target[i][0].label; Hypergraph::Node* node = forest->AddNode(kXCAT); const int new_node_id = node->id_; for (int j = f_start; j < f_len; ++j) { // for each word in the source const WordID src_sym = (j < 0 ? kNULL : lattice[j][0].label); TRulePtr& rule = LexRule(src_sym, e_i); Hypergraph::Edge* edge = forest->AddEdge(rule, Hypergraph::TailNodeVector()); edge->i_ = j; edge->j_ = j+1; edge->prev_i_ = i; edge->prev_j_ = i+1; edge->feature_values_ += edge->rule_->GetFeatureValues(); forest->ConnectEdgeToHeadNode(edge->id_, new_node_id); } if (prev_node_id >= 0) { const int comb_node_id = forest->AddNode(kXCAT)->id_; Hypergraph::TailNodeVector tail(2, prev_node_id); tail[1] = new_node_id; Hypergraph::Edge* edge = forest->AddEdge(kBINARY, tail); forest->ConnectEdgeToHeadNode(edge->id_, comb_node_id); prev_node_id = comb_node_id; } else { prev_node_id = new_node_id; } } Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1); Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1); Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail); forest->ConnectEdgeToHeadNode(hg_edge, goal); } inline int LexFeatureId(const WordID& f, const WordID& e) { map& e2fid = f2e2fid[f]; map::iterator it = e2fid.find(e); if (it != e2fid.end()) return it->second; int& fid = e2fid[e]; if (f == 0) { fid = FD::Convert("Lx__" + FD::Escape(TD::Convert(e))); } else { fid = FD::Convert("Lx_" + FD::Escape(TD::Convert(f)) + "_" + FD::Escape(TD::Convert(e))); } return fid; } inline TRulePtr& LexRule(const WordID& f, const WordID& e) { map& e2rule = f2e2rule[f]; map::iterator it = e2rule.find(e); if (it != e2rule.end()) return it->second; TRulePtr& tr = e2rule[e]; tr.reset(TRule::CreateLexicalRule(f, e)); tr->scores_.set_value(LexFeatureId(f, e), 1.0); return tr; } private: const bool use_null; const WordID kXCAT; const WordID kNULL; const TRulePtr kBINARY; const TRulePtr kGOAL_RULE; map > f2e2rule; map > f2e2fid; GrammarPtr grammar; }; LexicalAlign::LexicalAlign(const boost::program_options::variables_map& conf) : pimpl_(new LexicalAlignImpl(conf)) {} bool LexicalAlign::Translate(const string& input, SentenceMetadata* smeta, const vector& weights, Hypergraph* forest) { Lattice lattice; LatticeTools::ConvertTextToLattice(input, &lattice); smeta->SetSourceLength(lattice.size()); pimpl_->BuildTrellis(lattice, *smeta, forest); forest->is_linear_chain_ = true; forest->Reweight(weights); return true; }