mosesdecoder/moses-cmd/LatticeMBRGrid.cpp

// $Id: LatticeMBRGrid.cpp 3045 2010-04-05 13:07:29Z hieuhoang1972 $

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Moses - factored phrase-based language decoder
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/**
* Lattice MBR grid search. Enables a grid search through the four parameters (p,r,scale and prune) used in lattice MBR.
  See 'Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation by Tromble, Kumar, Och and Macherey,
    EMNLP 2008 for details of the parameters.

  The grid search is controlled by specifying comma separated lists for the lmbr parameters (-lmbr-p, -lmbr-r,
  -lmbr-pruning-factor and -mbr-scale). All other parameters are passed through to moses. If any of the lattice mbr
  parameters are missing, then they are set to their default values. Output is of the form:
   sentence-id ||| p r prune scale ||| translation-hypothesis
**/

#include <cstdlib>
#include <iostream>
#include <map>
#include <stdexcept>
#include <set>

#include "IOWrapper.h"
#include "moses/LatticeMBR.h"
#include "moses/Manager.h"
#include "moses/StaticData.h"
#include "util/exception.hh"


using namespace std;
using namespace Moses;
using namespace MosesCmd;

//keys
enum gridkey {lmbr_p,lmbr_r,lmbr_prune,lmbr_scale};

namespace MosesCmd
{

class Grid
{
public:
  /** Add a parameter with key, command line argument, and default value */
  void addParam(gridkey key, const string& arg, float defaultValue) {
    m_args[arg] = key;
    UTIL_THROW_IF2(m_grid.find(key) != m_grid.end(),
    		  "Couldn't find value for key " << (int) key);
    m_grid[key].push_back(defaultValue);
  }

  /** Parse the arguments, removing those that define the grid and returning a copy of the rest */
  void parseArgs(int& argc, char**& argv) {
    char** newargv = new char*[argc+1]; //Space to add mbr parameter
    int newargc = 0;
    for (int i = 0; i < argc; ++i) {
      bool consumed = false;
      for (map<string,gridkey>::const_iterator argi = m_args.begin(); argi != m_args.end(); ++argi) {
        if (!strcmp(argv[i], argi->first.c_str())) {
          ++i;
          if (i >= argc) {
            cerr << "Error: missing parameter for " << argi->first << endl;
            throw runtime_error("Missing parameter");
          } else {
            string value = argv[i];
            gridkey key = argi->second;
            if (m_grid[key].size() != 1) {
              throw runtime_error("Duplicate grid argument");
            }
            m_grid[key].clear();
            char delim = ',';
            string::size_type lastpos = value.find_first_not_of(delim);
            string::size_type pos = value.find_first_of(delim,lastpos);
            while (string::npos != pos || string::npos != lastpos) {
              float param = atof(value.substr(lastpos, pos-lastpos).c_str());
              if (!param) {
                cerr << "Error: Illegal grid parameter for " << argi->first << endl;
                throw runtime_error("Illegal grid parameter");
              }
              m_grid[key].push_back(param);
              lastpos = value.find_first_not_of(delim,pos);
              pos = value.find_first_of(delim,lastpos);
            }
            consumed = true;
          }
          if (consumed) break;
        }
      }
      if (!consumed) {
        newargv[newargc] = new char[strlen(argv[i]) + 1];
        strcpy(newargv[newargc],argv[i]);
        ++newargc;
      }
    }
    argc = newargc;
    argv = newargv;
  }

  /** Get the grid for a particular key.*/
  const vector<float>& getGrid(gridkey key) const {
    map<gridkey,vector<float> >::const_iterator iter = m_grid.find(key);
    assert (iter != m_grid.end());
    return iter->second;

  }

private:
  map<gridkey,vector<float> > m_grid;
  map<string,gridkey> m_args;
};

} // namespace

int main(int argc, char* argv[])
{
  cerr << "Lattice MBR Grid search" << endl;

  Grid grid;
  grid.addParam(lmbr_p, "-lmbr-p", 0.5);
  grid.addParam(lmbr_r, "-lmbr-r", 0.5);
  grid.addParam(lmbr_prune, "-lmbr-pruning-factor",30.0);
  grid.addParam(lmbr_scale, "-mbr-scale",1.0);

  grid.parseArgs(argc,argv);

  Parameter* params = new Parameter();
  if (!params->LoadParam(argc,argv)) {
    params->Explain();
    exit(1);
  }
  if (!StaticData::LoadDataStatic(params, argv[0])) {
    exit(1);
  }

  StaticData& staticData = const_cast<StaticData&>(StaticData::Instance());
  staticData.SetUseLatticeMBR(true);
  IOWrapper* ioWrapper = GetIOWrapper(staticData);

  if (!ioWrapper) {
    throw runtime_error("Failed to initialise IOWrapper");
  }
  size_t nBestSize = staticData.GetMBRSize();

  if (nBestSize <= 0) {
    throw new runtime_error("Non-positive size specified for n-best list");
  }

  size_t lineCount = 0;
  InputType* source = NULL;

  const vector<float>& pgrid = grid.getGrid(lmbr_p);
  const vector<float>& rgrid = grid.getGrid(lmbr_r);
  const vector<float>& prune_grid = grid.getGrid(lmbr_prune);
  const vector<float>& scale_grid = grid.getGrid(lmbr_scale);

  while(ReadInput(*ioWrapper,staticData.GetInputType(),source)) {
    ++lineCount;
    Sentence sentence;
    Manager manager(lineCount, *source, staticData.GetSearchAlgorithm());
    manager.ProcessSentence();
    TrellisPathList nBestList;
    manager.CalcNBest(nBestSize, nBestList,true);
    //grid search
    for (vector<float>::const_iterator pi = pgrid.begin(); pi != pgrid.end(); ++pi) {
      float p = *pi;
      staticData.SetLatticeMBRPrecision(p);
      for (vector<float>::const_iterator ri = rgrid.begin(); ri != rgrid.end(); ++ri) {
        float r = *ri;
        staticData.SetLatticeMBRPRatio(r);
        for (vector<float>::const_iterator prune_i = prune_grid.begin(); prune_i != prune_grid.end(); ++prune_i) {
          size_t prune = (size_t)(*prune_i);
          staticData.SetLatticeMBRPruningFactor(prune);
          for (vector<float>::const_iterator scale_i = scale_grid.begin(); scale_i != scale_grid.end(); ++scale_i) {
            float scale = *scale_i;
            staticData.SetMBRScale(scale);
            cout << lineCount << " ||| " << p << " " << r << " " << prune << " " << scale << " ||| ";
            vector<Word> mbrBestHypo = doLatticeMBR(manager,nBestList);
            OutputBestHypo(mbrBestHypo, lineCount, staticData.GetReportSegmentation(),
                           staticData.GetReportAllFactors(),cout);
          }
        }

      }
    }


  }

}