#include "lextrans.h" #include #include #include "filelib.h" #include "hg.h" #include "tdict.h" #include "grammar.h" #include "sentence_metadata.h" using namespace std; struct LexicalTransImpl { LexicalTransImpl(const boost::program_options::variables_map& conf) : use_null(conf.count("lextrans_use_null") > 0), align_only_(conf.count("lextrans_align_only") > 0), psg_file_(), 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]")) { if (conf.count("per_sentence_grammar_file")) { psg_file_ = new ifstream(conf["per_sentence_grammar_file"].as().c_str()); } vector gfiles = conf["grammar"].as >(); assert(gfiles.size() == 1); ReadFile rf(gfiles.front()); TextGrammar *tg = new TextGrammar; grammar.reset(tg); istream* in = rf.stream(); int lc = 0; bool flag = false; string line; while(*in) { getline(*in, line); if (!*in) continue; ++lc; TRulePtr r(TRule::CreateRulePhrasetable(line)); tg->AddRule(r); if (lc % 50000 == 0) { cerr << '.'; flag = true; } if (lc % 2000000 == 0) { cerr << " [" << lc << "]\n"; flag = false; } } if (flag) cerr << endl; cerr << "Loaded " << lc << " rules\n"; } void LoadSentenceGrammar(const string& s_offset) { const unsigned long long int offset = strtoull(s_offset.c_str(), NULL, 10); psg_file_->seekg(offset, ios::beg); TextGrammar *tg = new TextGrammar; sup_grammar.reset(tg); const string kEND_MARKER = "###EOS###"; string line; while(true) { assert(*psg_file_); getline(*psg_file_, line); if (line == kEND_MARKER) break; TRulePtr r(TRule::CreateRulePhrasetable(line)); tg->AddRule(r); } } bool BuildTrellis(const Lattice& lattice, const SentenceMetadata& smeta, Hypergraph* forest) { if (psg_file_) { const string offset = smeta.GetSGMLValue("psg"); if (offset.size() < 2 || offset[0] != '@') { cerr << "per_sentence_grammar_file given but sentence id=" << smeta.GetSentenceID() << " doesn't have grammar info!\n"; abort(); } LoadSentenceGrammar(offset.substr(1)); } const int e_len = smeta.GetTargetLength(); assert(e_len > 0); 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; set target_vocab; const Lattice& ref = smeta.GetReference(); for (int i = 0; i < ref.size(); ++i) { target_vocab.insert(ref[i][0].label); } bool all_sources_to_all_targets_ = true; set trgs_used; for (int i = 0; i < e_len; ++i) { // for each word in the *target* 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); const GrammarIter* gi = grammar->GetRoot()->Extend(src_sym); if (!gi) { if (psg_file_) gi = sup_grammar->GetRoot()->Extend(src_sym); if (!gi) { cerr << "No translations found for: " << TD::Convert(src_sym) << "\n"; return false; } } const RuleBin* rb = gi->GetRules(); assert(rb); for (int k = 0; k < rb->GetNumRules(); ++k) { TRulePtr rule = rb->GetIthRule(k); const WordID trg_word = rule->e_[0]; if (align_only_) { if (target_vocab.count(trg_word) == 0) continue; } if (all_sources_to_all_targets_ && (target_vocab.count(trg_word) > 0)) trgs_used.insert(trg_word); 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 (all_sources_to_all_targets_) { for (set::iterator it = target_vocab.begin(); it != target_vocab.end(); ++it) { if (trgs_used.count(*it)) continue; const WordID ungenerated_trg_word = *it; TRulePtr rule; rule.reset(TRule::CreateLexicalRule(src_sym, ungenerated_trg_word)); Hypergraph::Edge* edge = forest->AddEdge(rule, Hypergraph::TailNodeVector()); edge->i_ = j; edge->j_ = j+1; edge->prev_i_ = i; edge->prev_j_ = i+1; forest->ConnectEdgeToHeadNode(edge->id_, new_node_id); } trgs_used.clear(); } } 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); return true; } private: const bool use_null; const bool align_only_; ifstream* psg_file_; const WordID kXCAT; const WordID kNULL; const TRulePtr kBINARY; const TRulePtr kGOAL_RULE; GrammarPtr grammar; GrammarPtr sup_grammar; }; LexicalTrans::LexicalTrans(const boost::program_options::variables_map& conf) : pimpl_(new LexicalTransImpl(conf)) {} bool LexicalTrans::TranslateImpl(const string& input, SentenceMetadata* smeta, const vector& weights, Hypergraph* forest) { Lattice& lattice = smeta->src_lattice_; LatticeTools::ConvertTextOrPLF(input, &lattice); if (!lattice.IsSentence()) { // lexical models make independence assumptions // that don't work with lattices or conf nets cerr << "LexicalTrans: cannot deal with lattice source input!\n"; abort(); } smeta->SetSourceLength(lattice.size()); if (!pimpl_->BuildTrellis(lattice, *smeta, forest)) return false; forest->is_linear_chain_ = true; forest->Reweight(weights); return true; }