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#include <chrono>
#include <fstream>
#include <iostream>
#include <memory>
#include <string>
#include <vector>
#include <omp.h>
#include <boost/filesystem.hpp>
#include <boost/program_options.hpp>
#include <boost/program_options/variables_map.hpp>
#include "alignment.h"
#include "data_array.h"
#include "features/count_source_target.h"
#include "features/feature.h"
#include "features/is_source_singleton.h"
#include "features/is_source_target_singleton.h"
#include "features/max_lex_source_given_target.h"
#include "features/max_lex_target_given_source.h"
#include "features/sample_source_count.h"
#include "features/target_given_source_coherent.h"
#include "grammar.h"
#include "grammar_extractor.h"
#include "precomputation.h"
#include "rule.h"
#include "scorer.h"
#include "suffix_array.h"
#include "time_util.h"
#include "translation_table.h"
namespace fs = boost::filesystem;
namespace po = boost::program_options;
using namespace std;
using namespace extractor;
using namespace features;
fs::path GetGrammarFilePath(const fs::path& grammar_path, int file_number) {
string file_name = "grammar." + to_string(file_number);
return grammar_path / file_name;
}
int main(int argc, char** argv) {
int num_threads_default = 1;
#pragma omp parallel
num_threads_default = omp_get_num_threads();
po::options_description desc("Command line options");
desc.add_options()
("help,h", "Show available options")
("source,f", po::value<string>(), "Source language corpus")
("target,e", po::value<string>(), "Target language corpus")
("bitext,b", po::value<string>(), "Parallel text (source ||| target)")
("alignment,a", po::value<string>()->required(), "Bitext word alignment")
("grammars,g", po::value<string>()->required(), "Grammars output path")
("threads,t", po::value<int>()->default_value(num_threads_default),
"Number of parallel extractors")
("frequent", po::value<int>()->default_value(100),
"Number of precomputed frequent patterns")
("super_frequent", po::value<int>()->default_value(10),
"Number of precomputed super frequent patterns")
("max_rule_span", po::value<int>()->default_value(15),
"Maximum rule span")
("max_rule_symbols", po::value<int>()->default_value(5),
"Maximum number of symbols (terminals + nontermals) in a rule")
("min_gap_size", po::value<int>()->default_value(1), "Minimum gap size")
("max_phrase_len", po::value<int>()->default_value(4),
"Maximum frequent phrase length")
("max_nonterminals", po::value<int>()->default_value(2),
"Maximum number of nonterminals in a rule")
("min_frequency", po::value<int>()->default_value(1000),
"Minimum number of occurences for a pharse to be considered frequent")
("max_samples", po::value<int>()->default_value(300),
"Maximum number of samples")
("tight_phrases", po::value<bool>()->default_value(true),
"False if phrases may be loose (better, but slower)");
po::variables_map vm;
po::store(po::parse_command_line(argc, argv, desc), vm);
// Check for help argument before notify, so we don't need to pass in the
// required parameters.
if (vm.count("help")) {
cout << desc << endl;
return 0;
}
po::notify(vm);
if (!((vm.count("source") && vm.count("target")) || vm.count("bitext"))) {
cerr << "A paralel corpus is required. "
<< "Use -f (source) with -e (target) or -b (bitext)."
<< endl;
return 1;
}
Clock::time_point preprocess_start_time = Clock::now();
cerr << "Reading source and target data..." << endl;
Clock::time_point start_time = Clock::now();
shared_ptr<DataArray> source_data_array, target_data_array;
if (vm.count("bitext")) {
source_data_array = make_shared<DataArray>(
vm["bitext"].as<string>(), SOURCE);
target_data_array = make_shared<DataArray>(
vm["bitext"].as<string>(), TARGET);
} else {
source_data_array = make_shared<DataArray>(vm["source"].as<string>());
target_data_array = make_shared<DataArray>(vm["target"].as<string>());
}
Clock::time_point stop_time = Clock::now();
cerr << "Reading data took " << GetDuration(start_time, stop_time)
<< " seconds" << endl;
cerr << "Creating source suffix array..." << endl;
start_time = Clock::now();
shared_ptr<SuffixArray> source_suffix_array =
make_shared<SuffixArray>(source_data_array);
stop_time = Clock::now();
cerr << "Creating suffix array took "
<< GetDuration(start_time, stop_time) << " seconds" << endl;
cerr << "Reading alignment..." << endl;
start_time = Clock::now();
shared_ptr<Alignment> alignment =
make_shared<Alignment>(vm["alignment"].as<string>());
stop_time = Clock::now();
cerr << "Reading alignment took "
<< GetDuration(start_time, stop_time) << " seconds" << endl;
cerr << "Precomputing collocations..." << endl;
start_time = Clock::now();
shared_ptr<Precomputation> precomputation = make_shared<Precomputation>(
source_suffix_array,
vm["frequent"].as<int>(),
vm["super_frequent"].as<int>(),
vm["max_rule_span"].as<int>(),
vm["max_rule_symbols"].as<int>(),
vm["min_gap_size"].as<int>(),
vm["max_phrase_len"].as<int>(),
vm["min_frequency"].as<int>());
stop_time = Clock::now();
cerr << "Precomputing collocations took "
<< GetDuration(start_time, stop_time) << " seconds" << endl;
cerr << "Precomputing conditional probabilities..." << endl;
start_time = Clock::now();
shared_ptr<TranslationTable> table = make_shared<TranslationTable>(
source_data_array, target_data_array, alignment);
stop_time = Clock::now();
cerr << "Precomputing conditional probabilities took "
<< GetDuration(start_time, stop_time) << " seconds" << endl;
Clock::time_point preprocess_stop_time = Clock::now();
cerr << "Overall preprocessing step took "
<< GetDuration(preprocess_start_time, preprocess_stop_time)
<< " seconds" << endl;
Clock::time_point extraction_start_time = Clock::now();
vector<shared_ptr<Feature> > features = {
make_shared<TargetGivenSourceCoherent>(),
make_shared<SampleSourceCount>(),
make_shared<CountSourceTarget>(),
make_shared<MaxLexSourceGivenTarget>(table),
make_shared<MaxLexTargetGivenSource>(table),
make_shared<IsSourceSingleton>(),
make_shared<IsSourceTargetSingleton>()
};
shared_ptr<Scorer> scorer = make_shared<Scorer>(features);
GrammarExtractor extractor(
source_suffix_array,
target_data_array,
alignment,
precomputation,
scorer,
vm["min_gap_size"].as<int>(),
vm["max_rule_span"].as<int>(),
vm["max_nonterminals"].as<int>(),
vm["max_rule_symbols"].as<int>(),
vm["max_samples"].as<int>(),
vm["tight_phrases"].as<bool>());
// Release extra memory used by the initial precomputation.
precomputation.reset();
fs::path grammar_path = vm["grammars"].as<string>();
if (!fs::is_directory(grammar_path)) {
fs::create_directory(grammar_path);
}
string sentence;
vector<string> sentences, suffixes;
while (getline(cin, sentence)) {
sentences.push_back(sentence);
}
#pragma omp parallel for schedule(dynamic) \
num_threads(vm["threads"].as<int>())
for (size_t i = 0; i < sentences.size(); ++i) {
string delimiter = "|||", suffix;
int position = sentences[i].find(delimiter);
if (position != sentences[i].npos) {
suffix = sentences[i].substr(position);
sentences[i] = sentences[i].substr(0, position);
}
suffixes.push_back(suffix);
Grammar grammar = extractor.GetGrammar(sentences[i]);
ofstream output(GetGrammarFilePath(grammar_path, i).c_str());
output << grammar;
}
for (size_t i = 0; i < sentences.size(); ++i) {
cout << "<seg grammar=\"" << GetGrammarFilePath(grammar_path, i) << "\" id=\""
<< i << "\"> " << sentences[i] << " </seg> " << suffixes[i] << endl;
}
Clock::time_point extraction_stop_time = Clock::now();
cerr << "Overall extraction step took "
<< GetDuration(extraction_start_time, extraction_stop_time)
<< " seconds" << endl;
return 0;
}
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