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-rw-r--r--decoder/Makefile.am1
-rwxr-xr-xdecoder/apply_fsa_models.cc102
-rwxr-xr-xdecoder/apply_fsa_models.h29
-rw-r--r--decoder/apply_models.h6
-rw-r--r--decoder/cdec.cc29
-rwxr-xr-xdecoder/feature_vector.h4
-rw-r--r--decoder/stringlib.h12
7 files changed, 176 insertions, 7 deletions
diff --git a/decoder/Makefile.am b/decoder/Makefile.am
index 189e28b0..88d6d17a 100644
--- a/decoder/Makefile.am
+++ b/decoder/Makefile.am
@@ -44,6 +44,7 @@ rule_lexer.cc: rule_lexer.l
noinst_LIBRARIES = libcdec.a
libcdec_a_SOURCES = \
+ apply_fsa_models.cc \
rule_lexer.cc \
fst_translator.cc \
csplit.cc \
diff --git a/decoder/apply_fsa_models.cc b/decoder/apply_fsa_models.cc
new file mode 100755
index 00000000..27773b0d
--- /dev/null
+++ b/decoder/apply_fsa_models.cc
@@ -0,0 +1,102 @@
+#include "apply_fsa_models.h"
+#include "hg.h"
+#include "ff_fsa_dynamic.h"
+#include "feature_vector.h"
+#include "stringlib.h"
+#include "apply_models.h"
+#include <stdexcept>
+#include <cassert>
+
+using namespace std;
+
+struct ApplyFsa {
+ ApplyFsa(const Hypergraph& ih,
+ const SentenceMetadata& smeta,
+ const FsaFeatureFunction& fsa,
+ DenseWeightVector const& weights,
+ ApplyFsaBy const& cfg,
+ Hypergraph* oh)
+ :ih(ih),smeta(smeta),fsa(fsa),weights(weights),cfg(cfg),oh(oh)
+ {
+// sparse_to_dense(weight_vector,&weights);
+ Init();
+ }
+ void Init() {
+ ApplyBottomUp();
+ //TODO: implement l->r
+ }
+ void ApplyBottomUp() {
+ assert(cfg.IsBottomUp());
+ vector<const FeatureFunction*> ffs;
+ ModelSet models(weights, ffs);
+ IntersectionConfiguration i(cfg.BottomUpAlgorithm(),cfg.pop_limit);
+ ApplyModelSet(ih,smeta,models,i,oh);
+ }
+private:
+ const Hypergraph& ih;
+ const SentenceMetadata& smeta;
+ const FsaFeatureFunction& fsa;
+// WeightVector weight_vector;
+ DenseWeightVector weights;
+ ApplyFsaBy cfg;
+ Hypergraph* oh;
+};
+
+
+void ApplyFsaModels(const Hypergraph& ih,
+ const SentenceMetadata& smeta,
+ const FsaFeatureFunction& fsa,
+ DenseWeightVector const& weight_vector,
+ ApplyFsaBy const& cfg,
+ Hypergraph* oh)
+{
+ ApplyFsa a(ih,smeta,fsa,weight_vector,cfg,oh);
+}
+
+
+namespace {
+char const* anames[]={
+ "BU_CUBE",
+ "BU_FULL",
+ "EARLEY",
+ 0
+};
+}
+
+//TODO: named enum type in boost?
+
+std::string ApplyFsaBy::name() const {
+ return anames[algorithm];
+}
+
+std::string ApplyFsaBy::all_names() {
+ std::ostringstream o;
+ for (int i=0;i<N_ALGORITHMS;++i) {
+ assert(anames[i]);
+ if (i) o<<' ';
+ o<<anames[i];
+ }
+ return o.str();
+}
+
+ApplyFsaBy::ApplyFsaBy(std::string const& n, int pop_limit) : pop_limit(pop_limit){
+ algorithm=0;
+ std::string uname=toupper(n);
+ while(anames[algorithm] && anames[algorithm] != uname) ++algorithm;
+ if (!anames[algorithm])
+ throw std::runtime_error("Unknown ApplyFsaBy type: "+n+" - legal types: "+all_names());
+}
+
+ApplyFsaBy::ApplyFsaBy(int i, int pop_limit) : pop_limit(pop_limit) {
+ assert (i>=0);
+ assert (i<N_ALGORITHMS);
+ algorithm=i;
+}
+
+int ApplyFsaBy::BottomUpAlgorithm() const {
+ assert(IsBottomUp());
+ return algorithm==BU_CUBE ?
+ IntersectionConfiguration::CUBE
+ :IntersectionConfiguration::FULL;
+}
+
diff --git a/decoder/apply_fsa_models.h b/decoder/apply_fsa_models.h
index 0a8615b5..64ebab39 100755
--- a/decoder/apply_fsa_models.h
+++ b/decoder/apply_fsa_models.h
@@ -1,15 +1,42 @@
#ifndef _APPLY_FSA_MODELS_H_
#define _APPLY_FSA_MODELS_H_
-#include "ff_fsa_dynamic.h"
+#include <iostream>
+#include "feature_vector.h"
struct FsaFeatureFunction;
struct Hypergraph;
struct SentenceMetadata;
+struct ApplyFsaBy {
+ enum {
+ BU_CUBE,
+ BU_FULL,
+ EARLEY,
+ N_ALGORITHMS
+ };
+ int pop_limit; // only applies to BU_FULL so far
+ bool IsBottomUp() const {
+ return algorithm==BU_FULL || algorithm==BU_CUBE;
+ }
+ int BottomUpAlgorithm() const;
+ int algorithm;
+ std::string name() const;
+ friend inline std::ostream &operator << (std::ostream &o,ApplyFsaBy const& c) {
+ return o << c.name();
+ }
+ explicit ApplyFsaBy(int alg, int poplimit=200);
+ ApplyFsaBy(std::string const& name, int poplimit=200);
+ ApplyFsaBy(const ApplyFsaBy &o) : algorithm(o.algorithm) { }
+ static std::string all_names(); // space separated
+};
+
+
void ApplyFsaModels(const Hypergraph& in,
const SentenceMetadata& smeta,
const FsaFeatureFunction& fsa,
+ DenseWeightVector const& weights, // pre: in is weighted by these (except with fsa featval=0 before this)
+ ApplyFsaBy const& cfg,
Hypergraph* out);
#endif
diff --git a/decoder/apply_models.h b/decoder/apply_models.h
index 61a5b8f7..81fa068e 100644
--- a/decoder/apply_models.h
+++ b/decoder/apply_models.h
@@ -8,6 +8,12 @@ struct SentenceMetadata;
struct exhaustive_t {};
struct IntersectionConfiguration {
+enum {
+ FULL,
+ CUBE,
+ N_ALGORITHMS
+};
+
const int algorithm; // 0 = full intersection, 1 = cube pruning
const int pop_limit; // max number of pops off the heap at each node
IntersectionConfiguration(int alg, int k) : algorithm(alg), pop_limit(k) {}
diff --git a/decoder/cdec.cc b/decoder/cdec.cc
index a7c99307..72f0b95e 100644
--- a/decoder/cdec.cc
+++ b/decoder/cdec.cc
@@ -25,6 +25,7 @@
#include "weights.h"
#include "tdict.h"
#include "ff.h"
+#include "ff_fsa_dynamic.h"
#include "ff_factory.h"
#include "hg_intersect.h"
#include "apply_models.h"
@@ -119,7 +120,8 @@ void InitCommandLine(int argc, char** argv, OracleBleu &ob, po::variables_map* c
("warn_0_weight","Warn about any feature id that has a 0 weight (this is perfectly safe if you intend 0 weight, though)")
("no_freeze_feature_set,Z", "Do not freeze feature set after reading feature weights file")
("feature_function,F",po::value<vector<string> >()->composing(), "Additional feature function(s) (-L for list)")
- ("fsa_feature_function",po::value<vector<string> >()->composing(), "Additional FSA feature function(s) (-L for list)")
+ ("fsa_feature_function,A",po::value<vector<string> >()->composing(), "Additional FSA feature function(s) (-L for list)")
+ ("apply_fsa_by",po::value<string>()->default_value("BU_CUBE"), "Method for applying fsa_feature_functions - BU_FULL BU_CUBE EARLEY") //+ApplyFsaBy::all_names()
("list_feature_functions,L","List available feature functions")
("add_pass_through_rules,P","Add rules to translate OOV words as themselves")
("k_best,k",po::value<int>(),"Extract the k best derivations")
@@ -147,7 +149,7 @@ void InitCommandLine(int argc, char** argv, OracleBleu &ob, po::variables_map* c
("ctf_no_exhaustive", "Do not fall back to exhaustive parse if coarse-to-fine parsing fails")
("beam_prune", po::value<double>(), "Prune paths from +LM forest, keep paths within exp(alpha>=0)")
("scale_prune_srclen", "scale beams by the input length (in # of tokens; may not be what you want for lattices")
- ("promise_power",po::value<double>()->default_value(0), "Give more beam budget to more promising previous-pass nodes when pruning - but allocate the same average beams. 0 means off, 1 means beam proportional to inside*outside prob, n means nth power (affects just --cubepruning_pop_limit). note: for the same poplimit, this gives more search error unless very close to 0 (recommend disabled; even 0.01 is slightly worse than 0) which is a bad sign and suggests this isn't doing a good job; further it's slightly slower to LM cube rescore with 0.01 compared to 0, as well as giving (very insignificantly) lower BLEU. TODO: test under more conditions, or try idea with different formula, or prob. cube beams.")
+ ("promise_power",po::value<double>()->default_value(0), "Give more beam budget to more promising previous-pass nodes when pruning - but allocate the same average beams. 0 means off, 1 means beam proportional to inside*outside prob, n means nth power (affects just --cubepruning_pop_limit). note: for the same pop_limit, this gives more search error unless very close to 0 (recommend disabled; even 0.01 is slightly worse than 0) which is a bad sign and suggests this isn't doing a good job; further it's slightly slower to LM cube rescore with 0.01 compared to 0, as well as giving (very insignificantly) lower BLEU. TODO: test under more conditions, or try idea with different formula, or prob. cube beams.")
("lexalign_use_null", "Support source-side null words in lexical translation")
("tagger_tagset,t", po::value<string>(), "(Tagger) file containing tag set")
("csplit_output_plf", "(Compound splitter) Output lattice in PLF format")
@@ -519,7 +521,8 @@ int main(int argc, char** argv) {
palg = 0;
cerr << "Using full intersection (no pruning).\n";
}
- const IntersectionConfiguration inter_conf(palg, conf["cubepruning_pop_limit"].as<int>());
+ int pop_limit=conf["cubepruning_pop_limit"].as<int>();
+ const IntersectionConfiguration inter_conf(palg, pop_limit);
const int sample_max_trans = conf.count("max_translation_sample") ?
conf["max_translation_sample"].as<int>() : 0;
@@ -619,7 +622,7 @@ int main(int argc, char** argv) {
inter_conf, // this is now reduced to exhaustive if all are stateless
&prelm_forest);
forest.swap(prelm_forest);
- forest.Reweight(prelm_feature_weights);
+ forest.Reweight(prelm_feature_weights); //FIXME: why the reweighting? here and below. maybe in case we already had a featval for that id and ApplyModelSet only adds prob, doesn't recompute it?
forest_stats(forest," prelm forest",show_tree_structure,show_features,prelm_feature_weights,oracle.show_derivation);
}
@@ -642,8 +645,20 @@ int main(int argc, char** argv) {
maybe_prune(forest,conf,"beam_prune","density_prune","+LM",srclen);
- vector<WordID> trans;
- ViterbiESentence(forest, &trans);
+
+
+ if (!fsa_ffs.empty()) {
+ Timer t("Target FSA rescoring:");
+ if (!has_late_models)
+ forest.Reweight(feature_weights);
+ Hypergraph fsa_forest;
+ assert(fsa_ffs.size()==1);
+ ApplyFsaBy cfg(str("apply_fsa_by",conf),pop_limit);
+ ApplyFsaModels(forest,smeta,*fsa_ffs[0],feature_weights,cfg,&fsa_forest);
+ forest.swap(fsa_forest);
+ forest.Reweight(feature_weights);
+ forest_stats(forest," +FSA forest",show_tree_structure,show_features,feature_weights,oracle.show_derivation);
+ }
/*Oracle Rescoring*/
@@ -687,6 +702,8 @@ int main(int argc, char** argv) {
cout << HypergraphIO::AsPLF(forest, false) << endl;
} else {
if (!graphviz && !has_ref && !joshua_viz) {
+ vector<WordID> trans;
+ ViterbiESentence(forest, &trans);
cout << TD::GetString(trans) << endl << flush;
}
if (joshua_viz) {
diff --git a/decoder/feature_vector.h b/decoder/feature_vector.h
index 1b272506..be378a6a 100755
--- a/decoder/feature_vector.h
+++ b/decoder/feature_vector.h
@@ -11,4 +11,8 @@ typedef SparseVector<Featval> FeatureVector;
typedef SparseVector<Featval> WeightVector;
typedef std::vector<Featval> DenseWeightVector;
+inline void sparse_to_dense(WeightVector const& wv,DenseWeightVector *dv) {
+ wv.init_vector(dv);
+}
+
#endif
diff --git a/decoder/stringlib.h b/decoder/stringlib.h
index b3097bd1..53e6fe50 100644
--- a/decoder/stringlib.h
+++ b/decoder/stringlib.h
@@ -18,6 +18,18 @@
#include <cstring>
#include <string>
#include <sstream>
+#include <algorithm>
+
+struct toupperc {
+ inline char operator()(char c) const {
+ return std::toupper(c);
+ }
+};
+
+inline std::string toupper(std::string s) {
+ std::transform(s.begin(),s.end(),s.begin(),toupperc());
+ return s;
+}
template <class Istr, class Isubstr> inline
bool match_begin(Istr bstr,Istr estr,Isubstr bsub,Isubstr esub)