#include "lm/builder/pipeline.hh" #include "util/file.hh" #include "util/file_piece.hh" #include "util/usage.hh" #include #include namespace { class SizeNotify { public: SizeNotify(std::size_t &out) : behind_(out) {} void operator()(const std::string &from) { behind_ = util::ParseSize(from); } private: std::size_t &behind_; }; boost::program_options::typed_value *SizeOption(std::size_t &to, const char *default_value) { return boost::program_options::value()->notifier(SizeNotify(to))->default_value(default_value); } } // namespace int main(int argc, char *argv[]) { try { namespace po = boost::program_options; po::options_description options("Language model building options"); lm::builder::PipelineConfig pipeline; options.add_options() ("order,o", po::value(&pipeline.order)->required(), "Order of the model") ("interpolate_unigrams", po::bool_switch(&pipeline.initial_probs.interpolate_unigrams), "Interpolate the unigrams (default: emulate SRILM by not interpolating)") ("temp_prefix,T", po::value(&pipeline.sort.temp_prefix)->default_value("/tmp/lm"), "Temporary file prefix") ("memory,S", SizeOption(pipeline.sort.total_memory, util::GuessPhysicalMemory() ? "80%" : "1G"), "Sorting memory") ("vocab_memory", SizeOption(pipeline.assume_vocab_hash_size, "50M"), "Assume that the vocabulary hash table will use this much memory for purposes of calculating total memory in the count step") ("minimum_block", SizeOption(pipeline.minimum_block, "8K"), "Minimum block size to allow") ("sort_block", SizeOption(pipeline.sort.buffer_size, "64M"), "Size of IO operations for sort (determines arity)") ("block_count", po::value(&pipeline.block_count)->default_value(2), "Block count (per order)") ("vocab_file", po::value(&pipeline.vocab_file)->default_value(""), "Location to write vocabulary file") ("verbose_header", po::bool_switch(&pipeline.verbose_header), "Add a verbose header to the ARPA file that includes information such as token count, smoothing type, etc."); if (argc == 1) { std::cerr << "Builds unpruned language models with modified Kneser-Ney smoothing.\n\n" "Please cite:\n" "@inproceedings{kenlm,\n" "author = {Kenneth Heafield},\n" "title = {{KenLM}: Faster and Smaller Language Model Queries},\n" "booktitle = {Proceedings of the Sixth Workshop on Statistical Machine Translation},\n" "month = {July}, year={2011},\n" "address = {Edinburgh, UK},\n" "publisher = {Association for Computational Linguistics},\n" "}\n\n" "Provide the corpus on stdin. The ARPA file will be written to stdout. Order of\n" "the model (-o) is the only mandatory option. As this is an on-disk program,\n" "setting the temporary file location (-T) and sorting memory (-S) is recommended.\n\n" "Memory sizes are specified like GNU sort: a number followed by a unit character.\n" "Valid units are \% for percentage of memory (supported platforms only) and (in\n" "increasing powers of 1024): b, K, M, G, T, P, E, Z, Y. Default is K (*1024).\n\n"; std::cerr << options << std::endl; return 1; } po::variables_map vm; po::store(po::parse_command_line(argc, argv, options), vm); po::notify(vm); util::NormalizeTempPrefix(pipeline.sort.temp_prefix); lm::builder::InitialProbabilitiesConfig &initial = pipeline.initial_probs; // TODO: evaluate options for these. initial.adder_in.total_memory = 32768; initial.adder_in.block_count = 2; initial.adder_out.total_memory = 32768; initial.adder_out.block_count = 2; pipeline.read_backoffs = initial.adder_out; // Read from stdin try { lm::builder::Pipeline(pipeline, 0, 1); } catch (const util::MallocException &e) { std::cerr << e.what() << std::endl; std::cerr << "Try rerunning with a more conservative -S setting than " << vm["memory"].as() << std::endl; return 1; } util::PrintUsage(std::cerr); } catch (const std::exception &e) { std::cerr << e.what() << std::endl; return 1; } }