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#include <iostream>
#include <tr1/memory>
#include <queue>
#include <boost/functional.hpp>
#include <boost/program_options.hpp>
#include <boost/program_options/variables_map.hpp>
#include "viterbi.h"
#include "hg.h"
#include "trule.h"
#include "tdict.h"
#include "filelib.h"
#include "dict.h"
#include "sampler.h"
#include "ccrp_nt.h"
#include "ccrp_onetable.h"
using namespace std;
using namespace tr1;
namespace po = boost::program_options;
ostream& operator<<(ostream& os, const vector<WordID>& p) {
os << '[';
for (int i = 0; i < p.size(); ++i)
os << (i==0 ? "" : " ") << TD::Convert(p[i]);
return os << ']';
}
double log_poisson(unsigned x, const double& lambda) {
assert(lambda > 0.0);
return log(lambda) * x - lgamma(x + 1) - lambda;
}
struct Model1 {
explicit Model1(const string& fname) :
kNULL(TD::Convert("<eps>")),
kZERO() {
LoadModel1(fname);
}
void LoadModel1(const string& fname) {
cerr << "Loading Model 1 parameters from " << fname << " ..." << endl;
ReadFile rf(fname);
istream& in = *rf.stream();
string line;
unsigned lc = 0;
while(getline(in, line)) {
++lc;
int cur = 0;
int start = 0;
while(cur < line.size() && line[cur] != ' ') { ++cur; }
assert(cur != line.size());
line[cur] = 0;
const WordID src = TD::Convert(&line[0]);
++cur;
start = cur;
while(cur < line.size() && line[cur] != ' ') { ++cur; }
assert(cur != line.size());
line[cur] = 0;
WordID trg = TD::Convert(&line[start]);
const double logprob = strtod(&line[cur + 1], NULL);
if (src >= ttable.size()) ttable.resize(src + 1);
ttable[src][trg].logeq(logprob);
}
cerr << " read " << lc << " parameters.\n";
}
// returns prob 0 if src or trg is not found!
const prob_t& operator()(WordID src, WordID trg) const {
if (src == 0) src = kNULL;
if (src < ttable.size()) {
const map<WordID, prob_t>& cpd = ttable[src];
const map<WordID, prob_t>::const_iterator it = cpd.find(trg);
if (it != cpd.end())
return it->second;
}
return kZERO;
}
const WordID kNULL;
const prob_t kZERO;
vector<map<WordID, prob_t> > ttable;
};
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
opts.add_options()
("samples,s",po::value<unsigned>()->default_value(1000),"Number of samples")
("particles,p",po::value<unsigned>()->default_value(25),"Number of particles")
("input,i",po::value<string>(),"Read parallel data from")
("max_src_phrase",po::value<unsigned>()->default_value(7),"Maximum length of source language phrases")
("max_trg_phrase",po::value<unsigned>()->default_value(7),"Maximum length of target language phrases")
("model1,m",po::value<string>(),"Model 1 parameters (used in base distribution)")
("inverse_model1,M",po::value<string>(),"Inverse Model 1 parameters (used in backward estimate)")
("model1_interpolation_weight",po::value<double>()->default_value(0.95),"Mixing proportion of model 1 with uniform target distribution")
("random_seed,S",po::value<uint32_t>(), "Random seed");
po::options_description clo("Command line options");
clo.add_options()
("config", po::value<string>(), "Configuration file")
("help,h", "Print this help message and exit");
po::options_description dconfig_options, dcmdline_options;
dconfig_options.add(opts);
dcmdline_options.add(opts).add(clo);
po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
if (conf->count("config")) {
ifstream config((*conf)["config"].as<string>().c_str());
po::store(po::parse_config_file(config, dconfig_options), *conf);
}
po::notify(*conf);
if (conf->count("help") || (conf->count("input") == 0)) {
cerr << dcmdline_options << endl;
exit(1);
}
}
void ReadParallelCorpus(const string& filename,
vector<vector<WordID> >* f,
vector<vector<WordID> >* e,
set<WordID>* vocab_f,
set<WordID>* vocab_e) {
f->clear();
e->clear();
vocab_f->clear();
vocab_e->clear();
istream* in;
if (filename == "-")
in = &cin;
else
in = new ifstream(filename.c_str());
assert(*in);
string line;
const WordID kDIV = TD::Convert("|||");
vector<WordID> tmp;
while(*in) {
getline(*in, line);
if (line.empty() && !*in) break;
e->push_back(vector<int>());
f->push_back(vector<int>());
vector<int>& le = e->back();
vector<int>& lf = f->back();
tmp.clear();
TD::ConvertSentence(line, &tmp);
bool isf = true;
for (unsigned i = 0; i < tmp.size(); ++i) {
const int cur = tmp[i];
if (isf) {
if (kDIV == cur) { isf = false; } else {
lf.push_back(cur);
vocab_f->insert(cur);
}
} else {
assert(cur != kDIV);
le.push_back(cur);
vocab_e->insert(cur);
}
}
assert(isf == false);
}
if (in != &cin) delete in;
}
int main(int argc, char** argv) {
po::variables_map conf;
InitCommandLine(argc, argv, &conf);
const size_t kMAX_TRG_PHRASE = conf["max_trg_phrase"].as<unsigned>();
const size_t kMAX_SRC_PHRASE = conf["max_src_phrase"].as<unsigned>();
const unsigned particles = conf["particles"].as<unsigned>();
const unsigned samples = conf["samples"].as<unsigned>();
if (!conf.count("model1")) {
cerr << argv[0] << "Please use --model1 to specify model 1 parameters\n";
return 1;
}
shared_ptr<MT19937> prng;
if (conf.count("random_seed"))
prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
else
prng.reset(new MT19937);
MT19937& rng = *prng;
vector<vector<WordID> > corpuse, corpusf;
set<WordID> vocabe, vocabf;
cerr << "Reading corpus...\n";
ReadParallelCorpus(conf["input"].as<string>(), &corpusf, &corpuse, &vocabf, &vocabe);
cerr << "F-corpus size: " << corpusf.size() << " sentences\t (" << vocabf.size() << " word types)\n";
cerr << "E-corpus size: " << corpuse.size() << " sentences\t (" << vocabe.size() << " word types)\n";
assert(corpusf.size() == corpuse.size());
const int kLHS = -TD::Convert("X");
Model1 m1(conf["model1"].as<string>());
Model1 invm1(conf["inverse_model1"].as<string>());
for (int si = 0; si < conf["samples"].as<unsigned>(); ++si) {
cerr << '.' << flush;
for (int ci = 0; ci < corpusf.size(); ++ci) {
const vector<WordID>& src = corpusf[ci];
const vector<WordID>& trg = corpuse[ci];
for (int i = 0; i < src.size(); ++i) {
for (int j = 0; j < trg.size(); ++j) {
const int eff_max_src = min(src.size() - i, kMAX_SRC_PHRASE);
for (int k = 0; k < eff_max_src; ++k) {
const int eff_max_trg = (k == 0 ? 1 : min(trg.size() - j, kMAX_TRG_PHRASE));
for (int l = 0; l < eff_max_trg; ++l) {
}
}
}
}
}
}
}
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