From bffa08c6a335ac03bc43ab178724ec176921aa5a Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@cs.cmu.edu>
Date: Mon, 28 Feb 2011 22:10:50 -0500
Subject: src language LM phrase scoring
---
training/Makefile.am | 8 +++-
training/augment_grammar.cc | 93 +++++++++++++++++++++++++++++++++++++++++++++
2 files changed, 99 insertions(+), 2 deletions(-)
create mode 100644 training/augment_grammar.cc
(limited to 'training')
diff --git a/training/Makefile.am b/training/Makefile.am
index 8218ff0a..b046c698 100644
--- a/training/Makefile.am
+++ b/training/Makefile.am
@@ -10,7 +10,8 @@ bin_PROGRAMS = \
collapse_weights \
cllh_filter_grammar \
mpi_online_optimize \
- mpi_batch_optimize
+ mpi_batch_optimize \
+ augment_grammar
noinst_PROGRAMS = \
lbfgs_test \
@@ -34,6 +35,9 @@ endif
cllh_filter_grammar_SOURCES = cllh_filter_grammar.cc
cllh_filter_grammar_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/libmteval.a $(top_srcdir)/utils/libutils.a ../klm/lm/libklm.a ../klm/util/libklm_util.a -lz
+augment_grammar_SOURCES = augment_grammar.cc
+augment_grammar_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/mteval/libmteval.a $(top_srcdir)/utils/libutils.a ../klm/lm/libklm.a ../klm/util/libklm_util.a -lz
+
atools_SOURCES = atools.cc
atools_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/utils/libutils.a -lz
@@ -67,4 +71,4 @@ mr_em_adapted_reduce_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/utils
plftools_SOURCES = plftools.cc
plftools_LDADD = $(top_srcdir)/decoder/libcdec.a $(top_srcdir)/utils/libutils.a -lz
-AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/decoder -I$(top_srcdir)/utils -I$(top_srcdir)/mteval
+AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/decoder -I$(top_srcdir)/utils -I$(top_srcdir)/mteval -I../klm
diff --git a/training/augment_grammar.cc b/training/augment_grammar.cc
new file mode 100644
index 00000000..9b7fc7be
--- /dev/null
+++ b/training/augment_grammar.cc
@@ -0,0 +1,93 @@
+#include <iostream>
+#include <vector>
+
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "rule_lexer.h"
+#include "trule.h"
+#include "filelib.h"
+#include "tdict.h"
+#include "lm/model.hh"
+#include "lm/enumerate_vocab.hh"
+#include "wordid.h"
+
+namespace po = boost::program_options;
+using namespace std;
+
+vector<lm::WordIndex> word_map;
+lm::ngram::ProbingModel* ngram;
+struct VMapper : public lm::ngram::EnumerateVocab {
+ VMapper(vector<lm::WordIndex>* out) : out_(out), kLM_UNKNOWN_TOKEN(0) { out_->clear(); }
+ void Add(lm::WordIndex index, const StringPiece &str) {
+ const WordID cdec_id = TD::Convert(str.as_string());
+ if (cdec_id >= out_->size())
+ out_->resize(cdec_id + 1, kLM_UNKNOWN_TOKEN);
+ (*out_)[cdec_id] = index;
+ }
+ vector<lm::WordIndex>* out_;
+ const lm::WordIndex kLM_UNKNOWN_TOKEN;
+};
+
+bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+ po::options_description opts("Configuration options");
+ opts.add_options()
+ ("source_lm,l",po::value<string>(),"Source language LM (KLM)")
+ ("add_shape_types,s", "Add rule shape types");
+ po::options_description clo("Command line options");
+ clo.add_options()
+ ("config", po::value<string>(), "Configuration file")
+ ("help,h", "Print this help message and exit");
+ po::options_description dconfig_options, dcmdline_options;
+ dconfig_options.add(opts);
+ dcmdline_options.add(opts).add(clo);
+
+ po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
+ if (conf->count("config")) {
+ ifstream config((*conf)["config"].as<string>().c_str());
+ po::store(po::parse_config_file(config, dconfig_options), *conf);
+ }
+ po::notify(*conf);
+
+ if (conf->count("help")) {
+ cerr << "Usage " << argv[0] << " [OPTIONS]\n";
+ cerr << dcmdline_options << endl;
+ return false;
+ }
+ return true;
+}
+
+template <class Model> float Score(const vector<WordID>& str, const Model &model) {
+ typename Model::State state, out;
+ lm::FullScoreReturn ret;
+ float total = 0.0f;
+ state = model.NullContextState();
+
+ for (int i = 0; i < str.size(); ++i) {
+ lm::WordIndex vocab = ((str[i] < word_map.size() && str[i] > 0) ? word_map[str[i]] : 0);
+ ret = model.FullScore(state, vocab, out);
+ total += ret.prob;
+ state = out;
+ }
+ return total;
+}
+
+static void RuleHelper(const TRulePtr& new_rule, const unsigned int ctf_level, const TRulePtr& coarse_rule, void* extra) {
+ cout << *new_rule << " SrcLM=" << Score(new_rule->f_, *ngram) << endl;
+}
+
+int main(int argc, char** argv) {
+ po::variables_map conf;
+ if (!InitCommandLine(argc, argv, &conf)) return 1;
+ if (conf.count("source_lm")) {
+ lm::ngram::Config kconf;
+ VMapper vm(&word_map);
+ kconf.enumerate_vocab = &vm;
+ ngram = new lm::ngram::ProbingModel(conf["source_lm"].as<string>().c_str(), kconf);
+ cerr << "Loaded " << (int)ngram->Order() << "-gram KenLM (MapSize=" << word_map.size() << ")\n";
+ } else { ngram = NULL; }
+ assert(ngram);
+ RuleLexer::ReadRules(&cin, &RuleHelper, NULL);
+ return 0;
+}
+
--
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