blob: 3013ff21e90eb51445f9af9df74695088eae4e40 [file] [log] [blame]
#include "lm/ngram_query.hh"
#include "util/getopt.hh"
#ifdef WITH_NPLM
#include "lm/wrappers/nplm.hh"
#endif
#include <stdlib.h>
void Usage(const char *name) {
std::cerr <<
"KenLM was compiled with maximum order " << KENLM_MAX_ORDER << ".\n"
"Usage: " << name << " [-n] [-s] lm_file\n"
"-n: Do not wrap the input in <s> and </s>.\n"
"-s: Sentence totals only.\n"
"-l lazy|populate|read|parallel: Load lazily, with populate, or malloc+read\n"
"The default loading method is populate on Linux and read on others.\n";
exit(1);
}
int main(int argc, char *argv[]) {
if (argc == 1 || (argc == 2 && !strcmp(argv[1], "--help")))
Usage(argv[0]);
lm::ngram::Config config;
bool sentence_context = true;
bool show_words = true;
int opt;
while ((opt = getopt(argc, argv, "hnsl:")) != -1) {
switch (opt) {
case 'n':
sentence_context = false;
break;
case 's':
show_words = false;
break;
case 'l':
if (!strcmp(optarg, "lazy")) {
config.load_method = util::LAZY;
} else if (!strcmp(optarg, "populate")) {
config.load_method = util::POPULATE_OR_READ;
} else if (!strcmp(optarg, "read")) {
config.load_method = util::READ;
} else if (!strcmp(optarg, "parallel")) {
config.load_method = util::PARALLEL_READ;
} else {
Usage(argv[0]);
}
break;
case 'h':
default:
Usage(argv[0]);
}
}
if (optind + 1 != argc)
Usage(argv[0]);
const char *file = argv[optind];
try {
using namespace lm::ngram;
ModelType model_type;
if (RecognizeBinary(file, model_type)) {
switch(model_type) {
case PROBING:
Query<lm::ngram::ProbingModel>(file, config, sentence_context, show_words);
break;
case REST_PROBING:
Query<lm::ngram::RestProbingModel>(file, config, sentence_context, show_words);
break;
case TRIE:
Query<TrieModel>(file, config, sentence_context, show_words);
break;
case QUANT_TRIE:
Query<QuantTrieModel>(file, config, sentence_context, show_words);
break;
case ARRAY_TRIE:
Query<ArrayTrieModel>(file, config, sentence_context, show_words);
break;
case QUANT_ARRAY_TRIE:
Query<QuantArrayTrieModel>(file, config, sentence_context, show_words);
break;
default:
std::cerr << "Unrecognized kenlm model type " << model_type << std::endl;
abort();
}
#ifdef WITH_NPLM
} else if (lm::np::Model::Recognize(file)) {
lm::np::Model model(file);
if (show_words) {
Query<lm::np::Model, lm::ngram::FullPrint>(model, sentence_context);
} else {
Query<lm::np::Model, lm::ngram::BasicPrint>(model, sentence_context);
}
#endif
} else {
Query<ProbingModel>(file, config, sentence_context, show_words);
}
util::PrintUsage(std::cerr);
} catch (const std::exception &e) {
std::cerr << e.what() << std::endl;
return 1;
}
return 0;
}