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https://github.com/moses-smt/mosesdecoder.git
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121 lines
3.2 KiB
C++
121 lines
3.2 KiB
C++
// $Id$
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#include <sys/stat.h>
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#include <algorithm>
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#include "moses/TranslationModel/PhraseDictionaryTreeAdaptor.h"
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#include "moses/TranslationModel/PhraseDictionaryTree.h"
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#include "moses/Phrase.h"
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#include "moses/FactorCollection.h"
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#include "moses/InputFileStream.h"
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#include "moses/InputType.h"
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#include "moses/ConfusionNet.h"
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#include "moses/Sentence.h"
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#include "moses/StaticData.h"
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#include "moses/UniqueObject.h"
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#include "moses/PDTAimp.h"
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#include "moses/UserMessage.h"
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#include "util/exception.hh"
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using namespace std;
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namespace Moses
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{
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/*************************************************************
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function definitions of the interface class
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virtually everything is forwarded to the implementation class
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*************************************************************/
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PhraseDictionaryTreeAdaptor::
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PhraseDictionaryTreeAdaptor(const std::string &line)
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: PhraseDictionary(line)
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{
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ReadParameters();
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}
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PhraseDictionaryTreeAdaptor::~PhraseDictionaryTreeAdaptor()
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{
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}
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void PhraseDictionaryTreeAdaptor::Load()
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{
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SetFeaturesToApply();
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}
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void PhraseDictionaryTreeAdaptor::InitializeForInput(InputType const& source)
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{
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const StaticData &staticData = StaticData::Instance();
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ReduceCache();
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PDTAimp *obj = new PDTAimp(this);
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vector<float> weight = staticData.GetWeights(this);
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if(m_numScoreComponents!=weight.size()) {
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std::stringstream strme;
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UTIL_THROW2("ERROR: mismatch of number of scaling factors: " << weight.size()
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<< " " << m_numScoreComponents);
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}
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obj->Create(m_input, m_output, m_filePath, weight);
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obj->CleanUp();
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// caching only required for confusion net
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if(ConfusionNet const* cn=dynamic_cast<ConfusionNet const*>(&source))
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obj->CacheSource(*cn);
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m_implementation.reset(obj);
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}
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void PhraseDictionaryTreeAdaptor::CleanUpAfterSentenceProcessing(InputType const& source)
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{
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PDTAimp &obj = GetImplementation();
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obj.CleanUp();
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}
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TargetPhraseCollection const*
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PhraseDictionaryTreeAdaptor::GetTargetPhraseCollectionNonCacheLEGACY(Phrase const &src) const
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{
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const TargetPhraseCollection *ret = GetImplementation().GetTargetPhraseCollection(src);
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return ret;
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}
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void PhraseDictionaryTreeAdaptor::EnableCache()
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{
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GetImplementation().useCache=1;
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}
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void PhraseDictionaryTreeAdaptor::DisableCache()
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{
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GetImplementation().useCache=0;
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}
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PDTAimp& PhraseDictionaryTreeAdaptor::GetImplementation()
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{
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PDTAimp* dict;
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dict = m_implementation.get();
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UTIL_THROW_IF2(dict == NULL, "Dictionary object not yet created for this thread");
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return *dict;
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}
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const PDTAimp& PhraseDictionaryTreeAdaptor::GetImplementation() const
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{
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PDTAimp* dict;
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dict = m_implementation.get();
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UTIL_THROW_IF2(dict == NULL, "Dictionary object not yet created for this thread");
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return *dict;
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}
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// legacy
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const TargetPhraseCollectionWithSourcePhrase*
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PhraseDictionaryTreeAdaptor::GetTargetPhraseCollectionLEGACY(InputType const& src,WordsRange const &range) const
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{
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if(GetImplementation().m_rangeCache.empty()) {
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const TargetPhraseCollectionWithSourcePhrase *tpColl = GetImplementation().GetTargetPhraseCollection(src.GetSubString(range));
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return tpColl;
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} else {
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const TargetPhraseCollectionWithSourcePhrase *tpColl = GetImplementation().m_rangeCache[range.GetStartPos()][range.GetEndPos()];
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return tpColl;
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}
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}
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}
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