diff options
author | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2013-03-03 12:06:43 +0100 |
---|---|---|
committer | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2013-03-03 12:06:43 +0100 |
commit | f7f9048f8e4d34682f17bfd050d238005feb3ee3 (patch) | |
tree | fa20fa16b0f5a8009a9254622b65ebeaec049399 /klm/lm/builder/lmplz_main.cc | |
parent | 9d306b30c9abba995ba35243e5cb461bb472a61f (diff) | |
parent | 12f2eab0e7dc7167af47cddf8ef88968656277da (diff) |
Merge branch 'master' of github.com:pks/cdec-dtrain
Diffstat (limited to 'klm/lm/builder/lmplz_main.cc')
-rw-r--r-- | klm/lm/builder/lmplz_main.cc | 94 |
1 files changed, 94 insertions, 0 deletions
diff --git a/klm/lm/builder/lmplz_main.cc b/klm/lm/builder/lmplz_main.cc new file mode 100644 index 00000000..90b9dca2 --- /dev/null +++ b/klm/lm/builder/lmplz_main.cc @@ -0,0 +1,94 @@ +#include "lm/builder/pipeline.hh" +#include "util/file.hh" +#include "util/file_piece.hh" +#include "util/usage.hh" + +#include <iostream> + +#include <boost/program_options.hpp> + +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<std::string> *SizeOption(std::size_t &to, const char *default_value) { + return boost::program_options::value<std::string>()->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<std::size_t>(&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<std::string>(&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<std::size_t>(&pipeline.block_count)->default_value(2), "Block count (per order)") + ("vocab_file", po::value<std::string>(&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::string>() << std::endl; + return 1; + } + util::PrintUsage(std::cerr); + } catch (const std::exception &e) { + std::cerr << e.what() << std::endl; + return 1; + } +} |