mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-28 14:32:38 +03:00
227 lines
5.7 KiB
C++
227 lines
5.7 KiB
C++
#include <stdexcept>
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#include "util/exception.hh"
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#include "FeatureFunction.h"
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#include "moses/Hypothesis.h"
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#include "moses/Manager.h"
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#include "moses/TranslationOption.h"
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#include "moses/TranslationTask.h"
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#include "moses/Util.h"
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#include "moses/FF/DistortionScoreProducer.h"
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#include <boost/foreach.hpp>
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using namespace std;
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namespace Moses
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{
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multiset<string> FeatureFunction::description_counts;
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std::vector<FeatureFunction*> FeatureFunction::s_staticColl;
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FeatureFunction &FeatureFunction::FindFeatureFunction(const std::string& name)
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{
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for (size_t i = 0; i < s_staticColl.size(); ++i) {
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FeatureFunction &ff = *s_staticColl[i];
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if (ff.GetScoreProducerDescription() == name) {
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return ff;
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}
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}
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throw "Unknown feature " + name;
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}
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void FeatureFunction::Destroy()
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{
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RemoveAllInColl(s_staticColl);
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}
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// The original declaration as
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// void FeatureFunction::CallChangeSource(InputType *&input)
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// had me a bit perplexed. Would you really want to allow
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// any feature function to replace the InputType behind the
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// back of the others? And change what the vector is pointing to?
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void FeatureFunction::CallChangeSource(InputType * const&input)
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{
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for (size_t i = 0; i < s_staticColl.size(); ++i) {
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const FeatureFunction &ff = *s_staticColl[i];
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ff.ChangeSource(input);
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}
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}
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void FeatureFunction::SetupAll(TranslationTask const& ttask)
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{
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BOOST_FOREACH(FeatureFunction* ff, s_staticColl)
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ff->Setup(ttask);
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}
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FeatureFunction::
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FeatureFunction(const std::string& line, bool registerNow)
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: m_tuneable(true)
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, m_requireSortingAfterSourceContext(false)
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, m_verbosity(std::numeric_limits<std::size_t>::max())
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, m_numScoreComponents(1)
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, m_index(0)
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{
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m_numTuneableComponents = m_numScoreComponents;
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ParseLine(line);
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if (registerNow) Register();
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}
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FeatureFunction::
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FeatureFunction(size_t numScoreComponents,
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const std::string& line)
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: m_tuneable(true)
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, m_requireSortingAfterSourceContext(false)
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, m_verbosity(std::numeric_limits<std::size_t>::max())
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, m_numScoreComponents(numScoreComponents)
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, m_index(0)
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{
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m_numTuneableComponents = m_numScoreComponents;
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ParseLine(line);
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Register();
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}
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void
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FeatureFunction::
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Register()
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{
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ScoreComponentCollection::RegisterScoreProducer(this);
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s_staticColl.push_back(this);
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}
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FeatureFunction::~FeatureFunction() {}
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void FeatureFunction::ParseLine(const std::string &line)
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{
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vector<string> toks = Tokenize(line);
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UTIL_THROW_IF2(toks.empty(), "Empty line");
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string nameStub = toks[0];
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set<string> keys;
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for (size_t i = 1; i < toks.size(); ++i) {
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vector<string> args = TokenizeFirstOnly(toks[i], "=");
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UTIL_THROW_IF2(args.size() != 2,
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"Incorrect format for feature function arg: " << toks[i]);
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pair<set<string>::iterator,bool> ret = keys.insert(args[0]);
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UTIL_THROW_IF2(!ret.second, "Duplicate key in line " << line);
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if (args[0] == "num-features") {
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m_numScoreComponents = Scan<size_t>(args[1]);
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m_numTuneableComponents = m_numScoreComponents;
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} else if (args[0] == "name") {
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m_description = args[1];
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} else {
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m_args.push_back(args);
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}
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}
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// name
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if (m_description == "") {
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size_t index = description_counts.count(nameStub);
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ostringstream dstream;
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dstream << nameStub;
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dstream << index;
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description_counts.insert(nameStub);
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m_description = dstream.str();
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}
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}
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void FeatureFunction::SetParameter(const std::string& key, const std::string& value)
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{
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if (key == "tuneable") {
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m_tuneable = Scan<bool>(value);
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} else if (key == "tuneable-components") {
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UTIL_THROW_IF2(!m_tuneable, GetScoreProducerDescription()
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<< ": tuneable-components cannot be set if tuneable=false");
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SetTuneableComponents(value);
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} else if (key == "require-sorting-after-source-context") {
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m_requireSortingAfterSourceContext = Scan<bool>(value);
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} else if (key == "verbosity") {
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m_verbosity = Scan<size_t>(value);
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} else if (key == "filterable") { //ignore
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} else {
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UTIL_THROW2(GetScoreProducerDescription() << ": Unknown argument " << key << "=" << value);
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}
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}
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void FeatureFunction::ReadParameters()
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{
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while (!m_args.empty()) {
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const vector<string> &args = m_args[0];
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SetParameter(args[0], args[1]);
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m_args.erase(m_args.begin());
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}
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}
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std::vector<float> FeatureFunction::DefaultWeights() const
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{
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return std::vector<float>(this->m_numScoreComponents,1.0);
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// UTIL_THROW2(GetScoreProducerDescription() << ": No default weights");
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}
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void FeatureFunction::SetTuneableComponents(const std::string& value)
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{
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std::vector<std::string> toks = Tokenize(value,",");
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UTIL_THROW_IF2(toks.empty(), GetScoreProducerDescription()
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<< ": Empty tuneable-components");
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UTIL_THROW_IF2(toks.size()!=m_numScoreComponents, GetScoreProducerDescription()
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<< ": tuneable-components value has to be a comma-separated list of "
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<< m_numScoreComponents << " boolean values");
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m_tuneableComponents.resize(m_numScoreComponents);
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m_numTuneableComponents = m_numScoreComponents;
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for (size_t i = 0; i < toks.size(); ++i) {
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m_tuneableComponents[i] = Scan<bool>(toks[i]);
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if (!m_tuneableComponents[i]) {
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--m_numTuneableComponents;
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}
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}
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}
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void
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FeatureFunction
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::InitializeForInput(ttasksptr const& ttask)
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{
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InitializeForInput(*(ttask->GetSource().get()));
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}
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void
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FeatureFunction
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::CleanUpAfterSentenceProcessing(ttasksptr const& ttask)
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{
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CleanUpAfterSentenceProcessing(*(ttask->GetSource().get()));
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}
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size_t
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FeatureFunction
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::GetIndex() const
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{
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return m_index;
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}
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/// set index
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// @return index of the next FF
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size_t
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FeatureFunction
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::SetIndex(size_t const idx)
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{
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m_index = idx;
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return this->GetNumScoreComponents() + idx;
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}
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}
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