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#include "lm/ngram_query.hh"
int main(int argc, char *argv[]) {
if (!(argc == 2 || (argc == 3 && !strcmp(argv[2], "null")))) {
std::cerr << "Usage: " << argv[0] << " lm_file [null]" << std::endl;
std::cerr << "Input is wrapped in <s> and </s> unless null is passed." << std::endl;
return 1;
}
try {
bool sentence_context = (argc == 2);
using namespace lm::ngram;
ModelType model_type;
if (RecognizeBinary(argv[1], model_type)) {
switch(model_type) {
case HASH_PROBING:
Query<lm::ngram::ProbingModel>(argv[1], sentence_context, std::cin, std::cout);
break;
case TRIE_SORTED:
Query<TrieModel>(argv[1], sentence_context, std::cin, std::cout);
break;
case QUANT_TRIE_SORTED:
Query<QuantTrieModel>(argv[1], sentence_context, std::cin, std::cout);
break;
case ARRAY_TRIE_SORTED:
Query<ArrayTrieModel>(argv[1], sentence_context, std::cin, std::cout);
break;
case QUANT_ARRAY_TRIE_SORTED:
Query<QuantArrayTrieModel>(argv[1], sentence_context, std::cin, std::cout);
break;
case HASH_SORTED:
default:
std::cerr << "Unrecognized kenlm model type " << model_type << std::endl;
abort();
}
} else {
Query<ProbingModel>(argv[1], sentence_context, std::cin, std::cout);
}
PrintUsage("Total time including destruction:\n");
} catch (const std::exception &e) {
std::cerr << e.what() << std::endl;
return 1;
}
return 0;
}
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