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#include "dcommon.h"
/*
* init
*
*/
bool
init(int argc, char** argv, po::variables_map* conf)
{
int N;
bool q;
po::options_description opts( "Options" );
opts.add_options()
( "decoder-config,c", po::value<string>(), "configuration file for cdec" )
( "weights,w", po::value<string>(), "weights file")
( "ngrams,n", po::value<int>(&N)->default_value(4), "N for Ngrams (default 5)" )
( "quiet,q", po::value<bool>(&q)->default_value(true), "do not output translations" );
po::options_description cmdline_options;
cmdline_options.add(opts);
po::store( parse_command_line(argc, argv, cmdline_options), *conf );
po::notify( *conf );
if ( ! (conf->count("decoder-config") || conf->count("weights")) ) {
cerr << cmdline_options << endl;
return false;
}
return true;
}
/*
* main
*
*/
int
main(int argc, char** argv)
{
SetSilent(true);
po::variables_map conf;
if (!init(argc, argv, &conf)) return 1;
register_feature_functions();
size_t k = 1;
ReadFile ini_rf(conf["decoder-config"].as<string>());
Decoder decoder(ini_rf.stream());
KBestGetter observer(k);
size_t N = conf["ngrams"].as<int>();
bool quiet = conf["quiet"].as<bool>();
Weights weights;
weights.InitFromFile(conf["weights"].as<string>());
vector<double> w;
weights.InitVector(&w);
decoder.SetWeights(w);
vector<string> strs, ref_strs;
vector<WordID> ref_ids;
string in, psg;
size_t sid = 0;
double overall = 0.0;
double overall1 = 0.0;
double overall2 = 0.0;
cerr << "(a dot equals 100 lines of input)" << endl;
while( getline(cin, in) ) {
if ( (sid+1) % 100 == 0 ) {
cerr << ".";
if ( (sid+1)%1000 == 0 ) cerr << endl;
}
//if ( sid > 5000 ) break;
strs.clear();
boost::split( strs, in, boost::is_any_of("\t") );
// grammar
psg = boost::replace_all_copy( strs[2], " __NEXT_RULE__ ", "\n" ); psg += "\n";
decoder.SetSentenceGrammar( psg );
decoder.Decode( strs[0], &observer );
KBestList* kb = observer.GetKBest();
// reference
ref_strs.clear(); ref_ids.clear();
boost::split( ref_strs, strs[1], boost::is_any_of(" ") );
register_and_convert( ref_strs, ref_ids );
// scoring kbest
double score = 0.0;
double score1 = 0.0;
double score2 = 0.0;
NgramCounts counts = make_ngram_counts( ref_ids, kb->sents[0], 4 );
score = smooth_bleu( counts,
ref_ids.size(),
kb->sents[0].size(), N );
score1 = stupid_bleu( counts, ref_ids.size(), kb->sents[0].size(), N) ;
score2 = bleu( counts, ref_ids.size(), kb->sents[0].size(), N );
//if ( ! quiet )
cout << TD::GetString( kb->sents[0] ) << endl;
overall += score;
overall1 += score1;
overall2 += score2;
sid += 1;
}
cerr << "Average score (smooth): " << overall/(double)(sid+1) << endl;
cerr << "Average score (stupid): " << overall1/(double)(sid+1) << endl;
cerr << "Average score (normal): " << overall2/(double)(sid+1) << endl;
cerr << endl;
return 0;
}
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