mosesdecoder/mira/Main.cpp

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/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2010 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#include <cstdlib>
#include <ctime>
#include <string>
#include <vector>
#include <boost/program_options.hpp>
#include "FeatureVector.h"
#include "StaticData.h"
#include "ChartTrellisPathList.h"
#include "Decoder.h"
#include "Optimiser.h"
using namespace Mira;
using namespace std;
using namespace Moses;
namespace po = boost::program_options;
void OutputNBestList(const MosesChart::TrellisPathList &nBestList, const TranslationSystem* system, long translationId);
bool loadSentences(const string& filename, vector<string>& sentences) {
ifstream in(filename.c_str());
if (!in) return false;
string line;
while(getline(in,line)) {
sentences.push_back(line);
}
return true;
}
int main(int argc, char** argv) {
bool help;
int verbosity;
string mosesConfigFile;
string inputFile;
vector<string> referenceFiles;
po::options_description desc("Allowed options");
desc.add_options()
("help",po::value( &help )->zero_tokens()->default_value(false), "Print this help message and exit")
("config,f",po::value<string>(&mosesConfigFile),"Moses ini file")
("verbosity,v", po::value<int>(&verbosity)->default_value(0), "Verbosity level")
("input-file,i",po::value<string>(&inputFile),"Input file containing tokenised source")
("reference-files,r", po::value<vector<string> >(&referenceFiles), "Reference translation files for training");
po::options_description cmdline_options;
cmdline_options.add(desc);
po::variables_map vm;
po::store(po::command_line_parser(argc,argv).
options(cmdline_options).run(), vm);
po::notify(vm);
if (help) {
std::cout << "Usage: " + string(argv[0]) + " -f mosesini-file -i input-file -r reference-file(s) [options]" << std::endl;
std::cout << desc << std::endl;
return 0;
}
if (mosesConfigFile.empty()) {
cerr << "Error: No moses ini file specified" << endl;
return 1;
}
if (inputFile.empty()) {
cerr << "Error: No input file specified" << endl;
return 1;
}
if (!referenceFiles.size()) {
cerr << "Error: No reference files specified" << endl;
return 1;
}
//load input and references
vector<string> inputSentences;
if (!loadSentences(inputFile, inputSentences)) {
cerr << "Error: Failed to load input sentences from " << inputFile << endl;
return 1;
}
vector< vector<string> > referenceSentences(referenceFiles.size());
for (size_t i = 0; i < referenceFiles.size(); ++i) {
if (!loadSentences(referenceFiles[i], referenceSentences[i])) {
cerr << "Error: Failed to load reference sentences from " << referenceFiles[i] << endl;
return 1;
}
if (referenceSentences[i].size() != inputSentences.size()) {
cerr << "Error: Input file length (" << inputSentences.size() <<
") != (" << referenceSentences[i].size() << ") length of reference file " << i <<
endl;
return 1;
}
}
//initialise moses
initMoses(mosesConfigFile, verbosity);//, argc, argv);
//Main loop:
srand(time(NULL));
MosesDecoder decoder;
Optimiser* optimiser = new DummyOptimiser();
size_t epochs = 1;
for (size_t epoch = 0; epoch < epochs; ++epoch) {
//TODO: batch
for (size_t sid = 0; sid < inputSentences.size(); ++sid) {
const string& input = inputSentences[sid];
const vector<string>& refs = referenceSentences[sid];
//run decoder (TODO: hope & fear)
MosesChart::TrellisPathList sentences;
decoder.getNBest(input, 100, sentences);
//extract scores from nbest + oracle
//run optimiser
//update moses weights
decoder.cleanup();
}
}
exit(0);
}