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authorPaul Baltescu <pauldb89@gmail.com>2013-01-28 11:56:31 +0000
committerPaul Baltescu <pauldb89@gmail.com>2013-01-28 11:56:31 +0000
commit4ab84a0be28fdb6c0c421fe5ba5e09cfa298f2d1 (patch)
tree61a9790298659944650e16121c28dc04397b07ba /extractor/run_extractor.cc
parentae1bd3257aafba586f874c55e7e51e8776879434 (diff)
Initial working commit.
Diffstat (limited to 'extractor/run_extractor.cc')
-rw-r--r--extractor/run_extractor.cc109
1 files changed, 109 insertions, 0 deletions
diff --git a/extractor/run_extractor.cc b/extractor/run_extractor.cc
new file mode 100644
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--- /dev/null
+++ b/extractor/run_extractor.cc
@@ -0,0 +1,109 @@
+#include <iostream>
+#include <string>
+
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "alignment.h"
+#include "data_array.h"
+#include "grammar_extractor.h"
+#include "precomputation.h"
+#include "suffix_array.h"
+#include "translation_table.h"
+
+namespace po = boost::program_options;
+using namespace std;
+
+int main(int argc, char** argv) {
+ // TODO(pauldb): Also take arguments from config file.
+ 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")
+ ("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,s", po::value<int>()->default_value(15),
+ "Maximum rule span")
+ ("max_rule_symbols,l", po::value<int>()->default_value(5),
+ "Maximum number of symbols (terminals + nontermals) in a rule")
+ ("min_gap_size,g", po::value<int>()->default_value(1), "Minimum gap size")
+ ("max_phrase_len,p", 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")
+ ("baeza_yates", po::value<bool>()->default_value(true),
+ "Use double binary search");
+
+ 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;
+ }
+
+ 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>());
+ }
+ shared_ptr<SuffixArray> source_suffix_array =
+ make_shared<SuffixArray>(source_data_array);
+
+
+ Alignment alignment(vm["alignment"].as<string>());
+
+ Precomputation 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>());
+
+ TranslationTable table(source_data_array, target_data_array, alignment);
+
+ // TODO(pauldb): Add parallelization.
+ GrammarExtractor extractor(
+ source_suffix_array,
+ target_data_array,
+ alignment,
+ precomputation,
+ vm["min_gap_size"].as<int>(),
+ vm["max_rule_span"].as<int>(),
+ vm["max_nonterminals"].as<int>(),
+ vm["max_rule_symbols"].as<int>(),
+ vm["baeza_yates"].as<bool>());
+
+ string sentence;
+ while (getline(cin, sentence)) {
+ extractor.GetGrammar(sentence);
+ }
+
+ return 0;
+}