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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 "argument_reorder_model.h"
#include "synutils.h"
#include "tsuruoka_maxent.h"
using namespace std;
inline void fnPreparingTrainingdata(const char* pszFName, int iCutoff,
const char* pszNewFName) {
SFReader* pFReader = new STxtFileReader(pszFName);
char* pszLine = new char[100001];
int iLen;
Map hashPredicate;
while (pFReader->fnReadNextLine(pszLine, &iLen)) {
if (iLen == 0) continue;
vector<string> vecTerms;
SplitOnWhitespace(string(pszLine), &vecTerms);
for (size_t i = 0; i < vecTerms.size() - 1; i++) {
Iterator iter = hashPredicate.find(vecTerms[i]);
if (iter == hashPredicate.end()) {
hashPredicate[vecTerms[i]] = 1;
} else {
iter->second++;
}
}
}
delete pFReader;
pFReader = new STxtFileReader(pszFName);
FILE* fpOut = fopen(pszNewFName, "w");
while (pFReader->fnReadNextLine(pszLine, &iLen)) {
if (iLen == 0) continue;
vector<string> vecTerms;
SplitOnWhitespace(string(pszLine), &vecTerms);
ostringstream ostr;
for (size_t i = 0; i < vecTerms.size() - 1; i++) {
Iterator iter = hashPredicate.find(vecTerms[i]);
assert(iter != hashPredicate.end());
if (iter->second >= iCutoff) {
ostr << vecTerms[i] << " ";
}
}
if (ostr.str().length() > 0) {
ostr << vecTerms[vecTerms.size() - 1];
fprintf(fpOut, "%s\n", ostr.str().c_str());
}
}
fclose(fpOut);
delete pFReader;
delete[] pszLine;
}
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);
STxtFileReader* pTxtSReader = new STxtFileReader(pszSourceFname);
STxtFileReader* pTxtTReader = new STxtFileReader(pszTargetFname);
Map* pMapPredicate;
if (pszTopPredicateFname != NULL)
pMapPredicate = fnLoadTopPredicates(pszTopPredicateFname);
else
pMapPredicate = NULL;
char* pszLine = new char[50001];
FILE* fpLeftOut, *fpRightOut;
sprintf(pszLine, "%s.left", pszInstanceFname);
fpLeftOut = fopen(pszLine, "w");
sprintf(pszLine, "%s.right", pszInstanceFname);
fpRightOut = fopen(pszLine, "w");
// 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(pTxtSReader->fnReadNextLine(pszLine, NULL));
vector<string> vecSTerms;
SplitOnWhitespace(string(pszLine), &vecSTerms);
assert(pTxtTReader->fnReadNextLine(pszLine, NULL));
vector<string> vecTTerms;
SplitOnWhitespace(string(pszLine), &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());
fprintf(fpLeftOut, "%s %s\n", ostr.str().c_str(),
strLeftOutcome.c_str());
fprintf(fpRightOut, "%s %s\n", ostr.str().c_str(),
strRightOutcome.c_str());
}
}
}
delete pSRL;
delete pAlign;
iSentNum++;
if (iSentNum % 100000 == 0) fprintf(stderr, "#%d\n", iSentNum);
}
delete[] pszLine;
fclose(fpLeftOut);
fclose(fpRightOut);
delete pAlignReader;
delete pSRLReader;
delete pTxtSReader;
delete pTxtTReader;
}
Map* fnLoadTopPredicates(const char* pszTopPredicateFname) {
if (pszTopPredicateFname == NULL) return NULL;
Map* pMapPredicate = new Map();
STxtFileReader* pReader = new STxtFileReader(pszTopPredicateFname);
char* pszLine = new char[50001];
int iNumCount = 0;
while (pReader->fnReadNextLine(pszLine, NULL)) {
if (pszLine[0] == '#') continue;
char* p = strchr(pszLine, ' ');
assert(p != NULL);
p[0] = '\0';
p++;
int iCount = atoi(p);
if (iCount < 100) break;
(*pMapPredicate)[string(pszLine)] = iNumCount++;
}
delete pReader;
delete[] pszLine;
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;
}
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