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// rnnlmbin/rnnlm-get-sampling-lm.cc
// Copyright 2017 Johns Hopkins University (author: Daniel Povey)
// See ../../COPYING for clarification regarding multiple authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "rnnlm/sampling-lm-estimate.h"
#include "rnnlm/sampling-lm.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using namespace kaldi::rnnlm;
typedef kaldi::int32 int32;
typedef kaldi::int64 int64;
SamplingLmEstimatorOptions config;
bool binary = true;
// Note: we may later make it possible to write in a binary format without the
// word symbol table being involved.
const char *usage =
"Estimate highly-pruned backoff LM for use in importance sampling for
"
"RNNLM training. Reads integerized text.
"
"Usage:
"
" rnnlm-get-sampling-lm [options] <input-integerized-weighted-text> \\
"
" <sampling-lm-out>
"
" (this form writes a non-human-readable format that can be read by
"
" rnnlm-get-egs).
"
" e.g.:
"
" ... | rnnlm-get-sampling-lm --vocab-size=10002 - sampling.lm
"
"The word symbol table is used to write the ARPA file, but is expected
"
"to already have been used to convert the words into integer form.
"
"Each line of integerized input text should have a corpus weight as
"
"the first field, e.g.:
"
" 1.0 782 1271 3841 82
"
"and lines of input text should not be repeated (just increase the
"
"weight).
"
"See also: rnnlm-get-egs
";
ParseOptions po(usage);
config.Register(&po);
po.Register("binary", &binary, "If true, write LM in binary format "
"(only applies to 2-argument form of the program)");
po.Read(argc, argv);
if (po.NumArgs() != 2 && po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
if (po.NumArgs() == 3) {
std::string input_text_rxfilename = po.GetArg(1),
symbol_table_rxfilename = po.GetArg(2),
arpa_wxfilename = po.GetArg(3);
fst::SymbolTable *symtab;
{
Input symtab_input(symbol_table_rxfilename);
symtab = fst::SymbolTable::ReadText(symtab_input.Stream(),
symbol_table_rxfilename);
if (symtab == NULL)
KALDI_ERR << "Error reading symbol table.";
}
if (config.vocab_size <= 0)
config.vocab_size = symtab->AvailableKey();
SamplingLmEstimator estimator(config);
Input ki(input_text_rxfilename);
estimator.Process(ki.Stream());
bool will_write_arpa = true;
estimator.Estimate(will_write_arpa);
bool binary = false;
Output ko(arpa_wxfilename, binary);
estimator.PrintAsArpa(ko.Stream(), *symtab);
delete symtab;
} else {
std::string input_text_rxfilename = po.GetArg(1),
lm_wxfilename = po.GetArg(2);
SamplingLmEstimator estimator(config);
Input ki(input_text_rxfilename);
estimator.Process(ki.Stream());
bool will_write_arpa = false;
estimator.Estimate(will_write_arpa);
SamplingLm lm(estimator);
Output ko(lm_wxfilename, binary);
lm.Write(ko.Stream(), binary);
}
return 0;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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