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-rw-r--r--training/const_reorder/argument_reorder_model.cc307
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diff --git a/training/const_reorder/argument_reorder_model.cc b/training/const_reorder/argument_reorder_model.cc
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+/*
+ * argument_reorder_model.cc
+ *
+ * Created on: Dec 15, 2013
+ * Author: lijunhui
+ */
+
+#include <boost/program_options.hpp>
+#include <iostream>
+#include <fstream>
+#include <sstream>
+#include <string>
+#include <vector>
+
+#include "utils/filelib.h"
+
+#include "decoder/ff_const_reorder_common.h"
+
+using namespace std;
+using namespace const_reorder;
+
+inline void fnPreparingTrainingdata(const char* pszFName, int iCutoff,
+ const char* pszNewFName) {
+ Map hashPredicate;
+ {
+ ReadFile in(pszFName);
+ string line;
+ while (getline(*in.stream(), line)) {
+ if (!line.size()) continue;
+ vector<string> terms;
+ SplitOnWhitespace(line, &terms);
+ for (const auto& i : terms) {
+ ++hashPredicate[i];
+ }
+ }
+ }
+
+ {
+ ReadFile in(pszFName);
+ WriteFile out(pszNewFName);
+ string line;
+ while (getline(*in.stream(), line)) {
+ if (!line.size()) continue;
+ vector<string> terms;
+ SplitOnWhitespace(line, &terms);
+ bool written = false;
+ for (const auto& i : terms) {
+ if (hashPredicate[i] >= iCutoff) {
+ (*out.stream()) << i << " ";
+ written = true;
+ }
+ }
+ if (written) {
+ (*out.stream()) << "\n";
+ }
+ }
+ }
+}
+
+struct SArgumentReorderTrainer {
+ SArgumentReorderTrainer(
+ const char* pszSRLFname, // source-side srl tree file name
+ const char* pszAlignFname, // alignment filename
+ const char* pszSourceFname, // source file name
+ const char* pszTargetFname, // target file name
+ const char* pszTopPredicateFname, // target file name
+ const char* pszInstanceFname, // training instance file name
+ const char* pszModelFname, // classifier model file name
+ int iCutoff) {
+ fnGenerateInstanceFiles(pszSRLFname, pszAlignFname, pszSourceFname,
+ pszTargetFname, pszTopPredicateFname,
+ pszInstanceFname);
+
+ string strInstanceFname, strModelFname;
+ strInstanceFname = string(pszInstanceFname) + string(".left");
+ strModelFname = string(pszModelFname) + string(".left");
+ fnTraining(strInstanceFname.c_str(), strModelFname.c_str(), iCutoff);
+ strInstanceFname = string(pszInstanceFname) + string(".right");
+ strModelFname = string(pszModelFname) + string(".right");
+ fnTraining(strInstanceFname.c_str(), strModelFname.c_str(), iCutoff);
+ }
+
+ ~SArgumentReorderTrainer() {}
+
+ private:
+ void fnTraining(const char* pszInstanceFname, const char* pszModelFname,
+ int iCutoff) {
+ char* pszNewInstanceFName = new char[strlen(pszInstanceFname) + 50];
+ if (iCutoff > 0) {
+ sprintf(pszNewInstanceFName, "%s.tmp", pszInstanceFname);
+ fnPreparingTrainingdata(pszInstanceFname, iCutoff, pszNewInstanceFName);
+ } else {
+ strcpy(pszNewInstanceFName, pszInstanceFname);
+ }
+
+ Tsuruoka_Maxent* pMaxent = new Tsuruoka_Maxent(NULL);
+ pMaxent->fnTrain(pszNewInstanceFName, "l1", pszModelFname, 300);
+ delete pMaxent;
+
+ if (strcmp(pszNewInstanceFName, pszInstanceFname) != 0) {
+ sprintf(pszNewInstanceFName, "rm %s.tmp", pszInstanceFname);
+ system(pszNewInstanceFName);
+ }
+ delete[] pszNewInstanceFName;
+ }
+
+ void fnGenerateInstanceFiles(
+ const char* pszSRLFname, // source-side flattened parse tree file name
+ const char* pszAlignFname, // alignment filename
+ const char* pszSourceFname, // source file name
+ const char* pszTargetFname, // target file name
+ const char* pszTopPredicateFname, // top predicate file name (we only
+ // consider predicates with 100+
+ // occurrences
+ const char* pszInstanceFname // training instance file name
+ ) {
+ SAlignmentReader* pAlignReader = new SAlignmentReader(pszAlignFname);
+ SSrlSentenceReader* pSRLReader = new SSrlSentenceReader(pszSRLFname);
+ ReadFile source_file(pszSourceFname);
+ ReadFile target_file(pszTargetFname);
+
+ Map* pMapPredicate;
+ if (pszTopPredicateFname != NULL)
+ pMapPredicate = fnLoadTopPredicates(pszTopPredicateFname);
+ else
+ pMapPredicate = NULL;
+
+ string line;
+
+ WriteFile left_file(pszInstanceFname + string(".left"));
+ WriteFile right_file(pszInstanceFname + string(".right"));
+
+ // read sentence by sentence
+ SAlignment* pAlign;
+ SSrlSentence* pSRL;
+ SParsedTree* pTree;
+ int iSentNum = 0;
+ while ((pAlign = pAlignReader->fnReadNextAlignment()) != NULL) {
+ pSRL = pSRLReader->fnReadNextSrlSentence();
+ assert(pSRL != NULL);
+ pTree = pSRL->m_pTree;
+ assert(getline(*source_file.stream(), line));
+ vector<string> vecSTerms;
+ SplitOnWhitespace(line, &vecSTerms);
+ assert(getline(*target_file.stream(), line));
+ vector<string> vecTTerms;
+ SplitOnWhitespace(line, &vecTTerms);
+ // vecTPOSTerms.size() == 0, given the case when an english sentence fails
+ // parsing
+
+ if (pTree != NULL) {
+ for (size_t i = 0; i < pSRL->m_vecPred.size(); i++) {
+ SPredicate* pPred = pSRL->m_vecPred[i];
+ if (strcmp(pTree->m_vecTerminals[pPred->m_iPosition]
+ ->m_ptParent->m_pszTerm,
+ "VA") == 0)
+ continue;
+ string strPred =
+ string(pTree->m_vecTerminals[pPred->m_iPosition]->m_pszTerm);
+ if (pMapPredicate != NULL) {
+ Map::iterator iter_map = pMapPredicate->find(strPred);
+ if (pMapPredicate != NULL && iter_map == pMapPredicate->end())
+ continue;
+ }
+
+ SPredicateItem* pPredItem = new SPredicateItem(pTree, pPred);
+
+ vector<string> vecStrBlock;
+ for (size_t j = 0; j < pPredItem->vec_items_.size(); j++) {
+ SSRLItem* pItem1 = pPredItem->vec_items_[j];
+ vecStrBlock.push_back(SArgumentReorderModel::fnGetBlockOutcome(
+ pItem1->tree_item_->m_iBegin, pItem1->tree_item_->m_iEnd,
+ pAlign));
+ }
+
+ vector<string> vecStrLeftReorderType;
+ vector<string> vecStrRightReorderType;
+ SArgumentReorderModel::fnGetReorderType(
+ pPredItem, pAlign, vecStrLeftReorderType, vecStrRightReorderType);
+ for (int j = 1; j < pPredItem->vec_items_.size(); j++) {
+ string strLeftOutcome, strRightOutcome;
+ strLeftOutcome = vecStrLeftReorderType[j - 1];
+ strRightOutcome = vecStrRightReorderType[j - 1];
+ ostringstream ostr;
+ SArgumentReorderModel::fnGenerateFeature(pTree, pPred, pPredItem, j,
+ vecStrBlock[j - 1],
+ vecStrBlock[j], ostr);
+
+ // fprintf(stderr, "%s %s\n", ostr.str().c_str(),
+ // strOutcome.c_str());
+ // fprintf(fpOut, "sentid=%d %s %s\n", iSentNum, ostr.str().c_str(),
+ // strOutcome.c_str());
+ (*left_file.stream()) << ostr.str() << " " << strLeftOutcome
+ << "\n";
+ (*right_file.stream()) << ostr.str() << " " << strRightOutcome
+ << "\n";
+ }
+ }
+ }
+ delete pSRL;
+
+ delete pAlign;
+ iSentNum++;
+
+ if (iSentNum % 100000 == 0) fprintf(stderr, "#%d\n", iSentNum);
+ }
+
+ delete pAlignReader;
+ delete pSRLReader;
+ }
+
+ Map* fnLoadTopPredicates(const char* pszTopPredicateFname) {
+ if (pszTopPredicateFname == NULL) return NULL;
+
+ Map* pMapPredicate = new Map();
+ // STxtFileReader* pReader = new STxtFileReader(pszTopPredicateFname);
+ ReadFile in(pszTopPredicateFname);
+ // char* pszLine = new char[50001];
+ string line;
+ int iNumCount = 0;
+ while (getline(*in.stream(), line)) {
+ if (line.size() && line[0] == '#') continue;
+ auto p = line.find(' ');
+ assert(p != string::npos);
+ int iCount = atoi(line.substr(p + 1).c_str());
+ if (iCount < 100) break;
+ (*pMapPredicate)[line] = iNumCount++;
+ }
+ return pMapPredicate;
+ }
+};
+
+namespace po = boost::program_options;
+
+inline void print_options(std::ostream& out,
+ po::options_description const& opts) {
+ typedef std::vector<boost::shared_ptr<po::option_description> > Ds;
+ Ds const& ds = opts.options();
+ out << '"';
+ for (unsigned i = 0; i < ds.size(); ++i) {
+ if (i) out << ' ';
+ out << "--" << ds[i]->long_name();
+ }
+ out << '\n';
+}
+inline string str(char const* name, po::variables_map const& conf) {
+ return conf[name].as<string>();
+}
+
+//--srl_file /scratch0/mt_exp/gale-align/gale-align.nw.srl.cn --align_file
+/// scratch0/mt_exp/gale-align/gale-align.nw.al --source_file
+/// scratch0/mt_exp/gale-align/gale-align.nw.cn --target_file
+/// scratch0/mt_exp/gale-align/gale-align.nw.en --instance_file
+/// scratch0/mt_exp/gale-align/gale-align.nw.argreorder.instance --model_prefix
+/// scratch0/mt_exp/gale-align/gale-align.nw.argreorder.model --feature_cutoff 2
+//--srl_file /scratch0/mt_exp/gale-ctb/gale-ctb.srl.cn --align_file
+/// scratch0/mt_exp/gale-ctb/gale-ctb.align --source_file
+/// scratch0/mt_exp/gale-ctb/gale-ctb.cn --target_file
+/// scratch0/mt_exp/gale-ctb/gale-ctb.en0 --instance_file
+/// scratch0/mt_exp/gale-ctb/gale-ctb.argreorder.instance --model_prefix
+/// scratch0/mt_exp/gale-ctb/gale-ctb.argreorder.model --feature_cutoff 2
+int main(int argc, char** argv) {
+
+ po::options_description opts("Configuration options");
+ opts.add_options()("srl_file", po::value<string>(), "srl file path (input)")(
+ "align_file", po::value<string>(), "Alignment file path (input)")(
+ "source_file", po::value<string>(), "Source text file path (input)")(
+ "target_file", po::value<string>(), "Target text file path (input)")(
+ "instance_file", po::value<string>(), "Instance file path (output)")(
+ "model_prefix", po::value<string>(),
+ "Model file path prefix (output): three files will be generated")(
+ "feature_cutoff", po::value<int>()->default_value(100),
+ "Feature cutoff threshold")("help", "produce help message");
+
+ po::variables_map vm;
+ if (argc) {
+ po::store(po::parse_command_line(argc, argv, opts), vm);
+ po::notify(vm);
+ }
+
+ if (vm.count("help")) {
+ print_options(cout, opts);
+ return 1;
+ }
+
+ if (!vm.count("srl_file") || !vm.count("align_file") ||
+ !vm.count("source_file") || !vm.count("target_file") ||
+ !vm.count("instance_file") || !vm.count("model_prefix")) {
+ print_options(cout, opts);
+ if (!vm.count("parse_file")) cout << "--parse_file NOT FOUND\n";
+ if (!vm.count("align_file")) cout << "--align_file NOT FOUND\n";
+ if (!vm.count("source_file")) cout << "--source_file NOT FOUND\n";
+ if (!vm.count("target_file")) cout << "--target_file NOT FOUND\n";
+ if (!vm.count("instance_file")) cout << "--instance_file NOT FOUND\n";
+ if (!vm.count("model_prefix")) cout << "--model_prefix NOT FOUND\n";
+ exit(0);
+ }
+
+ SArgumentReorderTrainer* pTrainer = new SArgumentReorderTrainer(
+ str("srl_file", vm).c_str(), str("align_file", vm).c_str(),
+ str("source_file", vm).c_str(), str("target_file", vm).c_str(), NULL,
+ str("instance_file", vm).c_str(), str("model_prefix", vm).c_str(),
+ vm["feature_cutoff"].as<int>());
+ delete pTrainer;
+
+ return 1;
+}