C++ TargetPhrase::Evaluate方法代码示例

std::vector<TargetPhrase*> PhraseDictionaryTransliteration::CreateTargetPhrases(const Phrase &sourcePhrase, const string &outDir) const
{
	std::vector<TargetPhrase*> ret;

	string outPath = outDir + "/out.txt";
	ifstream outStream(outPath.c_str());

	string line;
	while (getline(outStream, line)) {
		vector<string> toks;
		Tokenize(toks, line, "\t");
		UTIL_THROW_IF2(toks.size() != 2, "Error in transliteration output file. Expecting word\tscore");

	  TargetPhrase *tp = new TargetPhrase();
	  Word &word = tp->AddWord();
	  word.CreateFromString(Output, m_output, toks[0], false);

	  float score = Scan<float>(toks[1]);
	  tp->GetScoreBreakdown().PlusEquals(this, score);

	  // score of all other ff when this rule is being loaded
	  tp->Evaluate(sourcePhrase, GetFeaturesToApply());

	  ret.push_back(tp);
	}

	outStream.close();

  return ret;
}

const TargetPhraseCollection*
PhraseDictionaryDynSuffixArray::
GetTargetPhraseCollectionLEGACY(const Phrase& src) const
{
  typedef map<SAPhrase, vector<float> >::value_type pstat_entry;
  map<SAPhrase, vector<float> > pstats; // phrase (pair) statistics
  m_biSA->GatherCands(src,pstats);

  TargetPhraseCollection *ret = new TargetPhraseCollection();
  BOOST_FOREACH(pstat_entry & e, pstats) {
    TargetPhrase* tp = m_biSA->GetMosesFactorIDs(e.first, src);
    tp->GetScoreBreakdown().Assign(this,e.second);
    tp->Evaluate(src);
    ret->Add(tp);
  }

TargetPhrase *SkeletonPT::CreateTargetPhrase(const Phrase &sourcePhrase) const
{
  // create a target phrase from the 1st word of the source, prefix with 'SkeletonPT:'
  CHECK(sourcePhrase.GetSize());
  CHECK(m_output.size() == 1);

  string str = sourcePhrase.GetWord(0).GetFactor(0)->GetString().as_string();
  str = "SkeletonPT:" + str;

  TargetPhrase *tp = new TargetPhrase();
  Word &word = tp->AddWord();
  word.CreateFromString(Output, m_output, str, false);

  // score for this phrase table
  vector<float> scores(m_numScoreComponents, 1.3);
  tp->GetScoreBreakdown().PlusEquals(this, scores);

  // score of all other ff when this rule is being loaded
  tp->Evaluate(sourcePhrase, GetFeaturesToApply());

  return tp;
}

//.........这里部分代码省略.........
  vector<float> scoreVector;
  StringPiece line;
  std::string hiero_before, hiero_after;

  double_conversion::StringToDoubleConverter converter(double_conversion::StringToDoubleConverter::NO_FLAGS, NAN, NAN, "inf", "nan");

  while(true) {
    try {
      line = in.ReadLine();
    } catch (const util::EndOfFileException &e) {
      break;
    }

    if (format == HieroFormat) { // inefficiently reformat line
      hiero_before.assign(line.data(), line.size());
      ReformatHieroRule(hiero_before, hiero_after);
      line = hiero_after;
    }

    util::TokenIter<util::MultiCharacter> pipes(line, "|||");
    StringPiece sourcePhraseString(*pipes);
    StringPiece targetPhraseString(*++pipes);
    StringPiece scoreString(*++pipes);

    StringPiece alignString;
    if (++pipes) {
      StringPiece temp(*pipes);
      alignString = temp;
    }

    if (++pipes) {
      StringPiece str(*pipes); //counts
    }

    bool isLHSEmpty = (sourcePhraseString.find_first_not_of(" \t", 0) == string::npos);
    if (isLHSEmpty && !staticData.IsWordDeletionEnabled()) {
      TRACE_ERR( ruleTable.GetFilePath() << ":" << count << ": pt entry contains empty target, skipping\n");
      continue;
    }

    scoreVector.clear();
    for (util::TokenIter<util::AnyCharacter, true> s(scoreString, " \t"); s; ++s) {
      int processed;
      float score = converter.StringToFloat(s->data(), s->length(), &processed);
      UTIL_THROW_IF(isnan(score), util::Exception, "Bad score " << *s << " on line " << count);
      scoreVector.push_back(FloorScore(TransformScore(score)));
    }
    const size_t numScoreComponents = ruleTable.GetNumScoreComponents();
    if (scoreVector.size() != numScoreComponents) {
      stringstream strme;
      strme << "Size of scoreVector != number (" << scoreVector.size() << "!="
            << numScoreComponents << ") of score components on line " << count;
      UserMessage::Add(strme.str());
      abort();
    }

    // parse source & find pt node

    // constituent labels
    Word *sourceLHS;
    Word *targetLHS;

    // create target phrase obj
    TargetPhrase *targetPhrase = new TargetPhrase();
    targetPhrase->CreateFromString(Output, output, targetPhraseString, factorDelimiter, &targetLHS);

    // source
    Phrase sourcePhrase;
    sourcePhrase.CreateFromString(Input, input, sourcePhraseString, factorDelimiter, &sourceLHS);

    // rest of target phrase
    targetPhrase->SetAlignmentInfo(alignString);
    targetPhrase->SetTargetLHS(targetLHS);

    //targetPhrase->SetDebugOutput(string("New Format pt ") + line);

    if (++pipes) {
      StringPiece sparseString(*pipes);
      targetPhrase->SetSparseScore(&ruleTable, sparseString);
    }

    if (++pipes) {
      StringPiece propertiesString(*pipes);
      targetPhrase->SetProperties(propertiesString);
    }

    targetPhrase->GetScoreBreakdown().Assign(&ruleTable, scoreVector);
    targetPhrase->Evaluate(sourcePhrase, ruleTable.GetFeaturesToApply());

    TargetPhraseCollection &phraseColl = GetOrCreateTargetPhraseCollection(ruleTable, sourcePhrase, *targetPhrase, sourceLHS);
    phraseColl.Add(targetPhrase);

    count++;
  }

  // sort and prune each target phrase collection
  SortAndPrune(ruleTable);

  return true;
}

//.........这里部分代码省略.........
  // copied from class LoaderStandard
  PrintUserTime("Start loading fuzzy-match phrase model");

  const StaticData &staticData = StaticData::Instance();
  const std::string& factorDelimiter = staticData.GetFactorDelimiter();


  string lineOrig;
  size_t count = 0;

  while(getline(inStream, lineOrig)) {
    const string *line;
    if (format == HieroFormat) { // reformat line
      UTIL_THROW(util::Exception, "Cannot be Hiero format");
      //line = ReformatHieroRule(lineOrig);
    } else {
      // do nothing to format of line
      line = &lineOrig;
    }

    vector<string> tokens;
    vector<float> scoreVector;

    TokenizeMultiCharSeparator(tokens, *line , "|||" );

    if (tokens.size() != 4 && tokens.size() != 5) {
      stringstream strme;
      strme << "Syntax error at " << ptFileName << ":" << count;
      UserMessage::Add(strme.str());
      abort();
    }

    const string &sourcePhraseString = tokens[0]
                                       , &targetPhraseString = tokens[1]
                                           , &scoreString        = tokens[2]
                                               , &alignString        = tokens[3];

    bool isLHSEmpty = (sourcePhraseString.find_first_not_of(" \t", 0) == string::npos);
    if (isLHSEmpty && !staticData.IsWordDeletionEnabled()) {
      TRACE_ERR( ptFileName << ":" << count << ": pt entry contains empty target, skipping\n");
      continue;
    }

    Tokenize<float>(scoreVector, scoreString);
    const size_t numScoreComponents = GetNumScoreComponents();
    if (scoreVector.size() != numScoreComponents) {
      stringstream strme;
      strme << "Size of scoreVector != number (" << scoreVector.size() << "!="
            << numScoreComponents << ") of score components on line " << count;
      UserMessage::Add(strme.str());
      abort();
    }

    UTIL_THROW_IF2(scoreVector.size() != numScoreComponents,
    		"Number of scores incorrectly specified");

    // parse source & find pt node

    // constituent labels
    Word *sourceLHS;
    Word *targetLHS;

    // source
    Phrase sourcePhrase( 0);
    sourcePhrase.CreateFromString(Input, m_input, sourcePhraseString, factorDelimiter, &sourceLHS);

    // create target phrase obj
    TargetPhrase *targetPhrase = new TargetPhrase();
    targetPhrase->CreateFromString(Output, m_output, targetPhraseString, factorDelimiter, &targetLHS);

    // rest of target phrase
    targetPhrase->SetAlignmentInfo(alignString);
    targetPhrase->SetTargetLHS(targetLHS);
    //targetPhrase->SetDebugOutput(string("New Format pt ") + line);

    // component score, for n-best output
    std::transform(scoreVector.begin(),scoreVector.end(),scoreVector.begin(),TransformScore);
    std::transform(scoreVector.begin(),scoreVector.end(),scoreVector.begin(),FloorScore);

    targetPhrase->GetScoreBreakdown().Assign(this, scoreVector);
    targetPhrase->Evaluate(sourcePhrase, GetFeaturesToApply());

    TargetPhraseCollection &phraseColl = GetOrCreateTargetPhraseCollection(rootNode, sourcePhrase, *targetPhrase, sourceLHS);
    phraseColl.Add(targetPhrase);

    count++;

    if (format == HieroFormat) { // reformat line
      delete line;
    } else {
      // do nothing
    }

  }

  // sort and prune each target phrase collection
  SortAndPrune(rootNode);

  //removedirectoryrecursively(dirName);
}

//.........这里部分代码省略.........
          else endPos = atoi(ij[1].c_str()) + 1;
        }

        VERBOSE(3,"XML TAG " << tagName << " (" << tagContent << ") spanning " << startPos << " to " << (endPos-1) << " complete, commence processing" << endl);

        // special tag: wall
        if (tagName == "wall") {
          size_t start = (startPos == 0) ? 0 : startPos-1;
          for(size_t pos = start; pos < endPos; pos++)
            walls.push_back( pos );
        }

        // special tag: zone
        else if (tagName == "zone") {
          if (startPos >= endPos) {
            TRACE_ERR("ERROR: zone must span at least one word: " << line << endl);
            return false;
          }
          reorderingConstraint.SetZone( startPos, endPos-1 );
        }

        // default: opening tag that specifies translation options
        else {
          if (startPos >= endPos) {
            TRACE_ERR("ERROR: tag " << tagName << " must span at least one word: " << line << endl);
            return false;
          }

          // specified translations -> vector of phrases
          // multiple translations may be specified, separated by "||"
          vector<string> altTexts = TokenizeMultiCharSeparator(ParseXmlTagAttribute(tagContent,"translation"), "||");
          if( altTexts.size() == 1 && altTexts[0] == "" )
            altTexts.pop_back(); // happens when nothing specified
          // deal with legacy annotations: "translation" was called "english"
          vector<string> moreAltTexts = TokenizeMultiCharSeparator(ParseXmlTagAttribute(tagContent,"english"), "||");
          if (moreAltTexts.size()>1 || moreAltTexts[0] != "") {
            for(vector<string>::iterator translation=moreAltTexts.begin();
                translation != moreAltTexts.end();
                translation++) {
              string t = *translation;
              altTexts.push_back( t );
            }
          }

          // specified probabilities for the translations -> vector of probs
          vector<string> altProbs = TokenizeMultiCharSeparator(ParseXmlTagAttribute(tagContent,"prob"), "||");
          if( altProbs.size() == 1 && altProbs[0] == "" )
            altProbs.pop_back(); // happens when nothing specified

          // report what we have processed so far
          VERBOSE(3,"XML TAG NAME IS: '" << tagName << "'" << endl);
          VERBOSE(3,"XML TAG TRANSLATION IS: '" << altTexts[0] << "'" << endl);
          VERBOSE(3,"XML TAG PROB IS: '" << altProbs[0] << "'" << endl);
          VERBOSE(3,"XML TAG SPAN IS: " << startPos << "-" << (endPos-1) << endl);
          if (altProbs.size() > 0 && altTexts.size() != altProbs.size()) {
            TRACE_ERR("ERROR: Unequal number of probabilities and translation alternatives: " << line << endl);
            return false;
          }

          // store translation options into members
          if (StaticData::Instance().GetXmlInputType() != XmlIgnore) {
            // only store options if we aren't ignoring them
            for (size_t i=0; i<altTexts.size(); ++i) {
              Phrase sourcePhrase; // TODO don't know what the source phrase is

              // set default probability
              float probValue = 1;
              if (altProbs.size() > 0) probValue = Scan<float>(altProbs[i]);
              // convert from prob to log-prob
              float scoreValue = FloorScore(TransformScore(probValue));

              WordsRange range(startPos,endPos-1); // span covered by phrase
              TargetPhrase targetPhrase;
              targetPhrase.CreateFromString(Output, outputFactorOrder,altTexts[i],factorDelimiter, NULL);

              targetPhrase.SetXMLScore(scoreValue);
              targetPhrase.Evaluate(sourcePhrase);

              XmlOption *option = new XmlOption(range,targetPhrase);
              CHECK(option);

              res.push_back(option);
            }
            altTexts.clear();
            altProbs.clear();
          }
        }
      }
    }
  }
  // we are done. check if there are tags that are still open
  if (tagStack.size() > 0) {
    TRACE_ERR("ERROR: some opened tags were never closed: " << line << endl);
    return false;
  }

  // return de-xml'ed sentence in line
  line = cleanLine;
  return true;
}

void ChartParserUnknown::Process(const Word &sourceWord, const WordsRange &range, ChartParserCallback &to)
{
  // unknown word, add as trans opt
  const StaticData &staticData = StaticData::Instance();
  const UnknownWordPenaltyProducer &unknownWordPenaltyProducer = UnknownWordPenaltyProducer::Instance();

  size_t isDigit = 0;
  if (staticData.GetDropUnknown()) {
    const Factor *f = sourceWord[0]; // TODO hack. shouldn't know which factor is surface
    const StringPiece s = f->GetString();
    isDigit = s.find_first_of("0123456789");
    if (isDigit == string::npos)
      isDigit = 0;
    else
      isDigit = 1;
    // modify the starting bitmap
  }

  Phrase* unksrc = new Phrase(1);
  unksrc->AddWord() = sourceWord;
  Word &newWord = unksrc->GetWord(0);
  newWord.SetIsOOV(true);

  m_unksrcs.push_back(unksrc);

  //TranslationOption *transOpt;
  if (! staticData.GetDropUnknown() || isDigit) {
    // loop
    const UnknownLHSList &lhsList = staticData.GetUnknownLHS();
    UnknownLHSList::const_iterator iterLHS;
    for (iterLHS = lhsList.begin(); iterLHS != lhsList.end(); ++iterLHS) {
      const string &targetLHSStr = iterLHS->first;
      float prob = iterLHS->second;

      // lhs
      //const Word &sourceLHS = staticData.GetInputDefaultNonTerminal();
      Word *targetLHS = new Word(true);

      targetLHS->CreateFromString(Output, staticData.GetOutputFactorOrder(), targetLHSStr, true);
      UTIL_THROW_IF2(targetLHS->GetFactor(0) == NULL, "Null factor for target LHS");

      // add to dictionary
      TargetPhrase *targetPhrase = new TargetPhrase();
      Word &targetWord = targetPhrase->AddWord();
      targetWord.CreateUnknownWord(sourceWord);

      // scores
      float unknownScore = FloorScore(TransformScore(prob));

      targetPhrase->GetScoreBreakdown().Assign(&unknownWordPenaltyProducer, unknownScore);
      targetPhrase->Evaluate(*unksrc);

      targetPhrase->SetTargetLHS(targetLHS);
      targetPhrase->SetAlignmentInfo("0-0");
      if (staticData.IsDetailedTreeFragmentsTranslationReportingEnabled()) {
        targetPhrase->SetProperty("Tree","[ " + (*targetLHS)[0]->GetString().as_string() + " "+sourceWord[0]->GetString().as_string()+" ]");
      }

      // chart rule
      to.AddPhraseOOV(*targetPhrase, m_cacheTargetPhraseCollection, range);
    } // for (iterLHS
  } else {
    // drop source word. create blank trans opt
    float unknownScore = FloorScore(-numeric_limits<float>::infinity());

    TargetPhrase *targetPhrase = new TargetPhrase();
    // loop
    const UnknownLHSList &lhsList = staticData.GetUnknownLHS();
    UnknownLHSList::const_iterator iterLHS;
    for (iterLHS = lhsList.begin(); iterLHS != lhsList.end(); ++iterLHS) {
      const string &targetLHSStr = iterLHS->first;
      //float prob = iterLHS->second;

      Word *targetLHS = new Word(true);
      targetLHS->CreateFromString(Output, staticData.GetOutputFactorOrder(), targetLHSStr, true);
      UTIL_THROW_IF2(targetLHS->GetFactor(0) == NULL, "Null factor for target LHS");

      targetPhrase->GetScoreBreakdown().Assign(&unknownWordPenaltyProducer, unknownScore);
      targetPhrase->Evaluate(*unksrc);

      targetPhrase->SetTargetLHS(targetLHS);

      // chart rule
      to.AddPhraseOOV(*targetPhrase, m_cacheTargetPhraseCollection, range);
    }
  }
}

//.........这里部分代码省略.........
        }

        // assemble remaining information about tag
        size_t startPos = openedTag.second.first;
        string tagContent = openedTag.second.second;
        size_t endPos = wordPos;

        // span attribute overwrites position
        string span = ParseXmlTagAttribute(tagContent,"span");
        if (! span.empty()) {
          vector<string> ij = Tokenize(span, "-");
          if (ij.size() != 1 && ij.size() != 2) {
            TRACE_ERR("ERROR: span attribute must be of the form \"i-j\" or \"i\": " << line << endl);
            return false;
          }
          startPos = atoi(ij[0].c_str());
          if (ij.size() == 1) endPos = startPos + 1;
          else endPos = atoi(ij[1].c_str()) + 1;
        }

        VERBOSE(3,"XML TAG " << tagName << " (" << tagContent << ") spanning " << startPos << " to " << (endPos-1) << " complete, commence processing" << endl);

        if (startPos >= endPos) {
          TRACE_ERR("ERROR: tag " << tagName << " must span at least one word: " << line << endl);
          return false;
        }

        // may be either a input span label ("label"), or a specified output translation "translation"
        string label = ParseXmlTagAttribute(tagContent,"label");
        string translation = ParseXmlTagAttribute(tagContent,"translation");

        // specified label
        if (translation.length() == 0 && label.length() > 0) {
          WordsRange range(startPos,endPos-1); // really?
          XMLParseOutput item(label, range);
          sourceLabels.push_back(item);
        }

        // specified translations -> vector of phrases, separated by "||"
        if (translation.length() > 0 && StaticData::Instance().GetXmlInputType() != XmlIgnore) {
          vector<string> altTexts = TokenizeMultiCharSeparator(translation, "||");
          vector<string> altLabel = TokenizeMultiCharSeparator(label, "||");
          vector<string> altProbs = TokenizeMultiCharSeparator(ParseXmlTagAttribute(tagContent,"prob"), "||");
          //TRACE_ERR("number of translations: " << altTexts.size() << endl);
          for (size_t i=0; i<altTexts.size(); ++i) {
            // set target phrase
            TargetPhrase targetPhrase;
            targetPhrase.CreateFromString(Output, outputFactorOrder,altTexts[i],factorDelimiter, NULL);

            // set constituent label
            string targetLHSstr;
            if (altLabel.size() > i && altLabel[i].size() > 0) {
              targetLHSstr = altLabel[i];
            } else {
              const UnknownLHSList &lhsList = StaticData::Instance().GetUnknownLHS();
              UnknownLHSList::const_iterator iterLHS = lhsList.begin();
              targetLHSstr = iterLHS->first;
            }
            Word *targetLHS = new Word(true);
            targetLHS->CreateFromString(Output, outputFactorOrder, targetLHSstr, true);
            CHECK(targetLHS->GetFactor(0) != NULL);
            targetPhrase.SetTargetLHS(targetLHS);

            // not tested
            Phrase sourcePhrase = this->GetSubString(WordsRange(startPos,endPos-1));

            // get probability
            float probValue = 1;
            if (altProbs.size() > i && altProbs[i].size() > 0) {
              probValue = Scan<float>(altProbs[i]);
            }
            // convert from prob to log-prob
            float scoreValue = FloorScore(TransformScore(probValue));
            targetPhrase.SetXMLScore(scoreValue);
            targetPhrase.Evaluate(sourcePhrase);

            // set span and create XmlOption
            WordsRange range(startPos+1,endPos);
            XmlOption *option = new XmlOption(range,targetPhrase);
            CHECK(option);
            xmlOptions.push_back(option);

            VERBOSE(2,"xml translation = [" << range << "] " << targetLHSstr << " -> " << altTexts[i] << " prob: " << probValue << endl);
          }
          altTexts.clear();
          altProbs.clear();
        }
      }
    }
  }
  // we are done. check if there are tags that are still open
  if (tagStack.size() > 0) {
    TRACE_ERR("ERROR: some opened tags were never closed: " << line << endl);
    return false;
  }

  // return de-xml'ed sentence in line
  line = cleanLine;
  return true;
}

bool RuleTableLoaderCompact::LoadRuleSection(
  LineReader &reader,
  const std::vector<Word> &vocab,
  const std::vector<Phrase> &sourcePhrases,
  const std::vector<Phrase> &targetPhrases,
  const std::vector<size_t> &targetLhsIds,
  const std::vector<const AlignmentInfo *> &alignmentSets,
  RuleTableTrie &ruleTable)
{
  // Read rule count.
  reader.ReadLine();
  const size_t ruleCount = std::atoi(reader.m_line.c_str());

  // Read rules and add to table.
  const size_t numScoreComponents = ruleTable.GetNumScoreComponents();
  std::vector<float> scoreVector(numScoreComponents);
  std::vector<size_t> tokenPositions;
  for (size_t i = 0; i < ruleCount; ++i) {
    reader.ReadLine();

    tokenPositions.clear();
    FindTokens(tokenPositions, reader.m_line);

    const char *charLine = reader.m_line.c_str();

    // The first three tokens are IDs for the source phrase, target phrase,
    // and alignment set.
    const int sourcePhraseId = std::atoi(charLine+tokenPositions[0]);
    const int targetPhraseId = std::atoi(charLine+tokenPositions[1]);
    const int alignmentSetId = std::atoi(charLine+tokenPositions[2]);

    const Phrase &sourcePhrase = sourcePhrases[sourcePhraseId];
    const Phrase &targetPhrasePhrase = targetPhrases[targetPhraseId];
    const Word *targetLhs = new Word(vocab[targetLhsIds[targetPhraseId]]);
    Word sourceLHS("X"); // TODO not implemented for compact
    const AlignmentInfo *alignNonTerm = alignmentSets[alignmentSetId];

    // Then there should be one score for each score component.
    for (size_t j = 0; j < numScoreComponents; ++j) {
      float score = std::atof(charLine+tokenPositions[3+j]);
      scoreVector[j] = FloorScore(TransformScore(score));
    }
    if (reader.m_line[tokenPositions[3+numScoreComponents]] != ':') {
      std::stringstream msg;
      msg << "Size of scoreVector != number ("
          << scoreVector.size() << "!=" << numScoreComponents
          << ") of score components on line " << reader.m_lineNum;
      UserMessage::Add(msg.str());
      return false;
    }

    // The remaining columns are currently ignored.

    // Create and score target phrase.
    TargetPhrase *targetPhrase = new TargetPhrase(targetPhrasePhrase);
    targetPhrase->SetAlignNonTerm(alignNonTerm);
    targetPhrase->SetTargetLHS(targetLhs);
    targetPhrase->SetSourcePhrase(sourcePhrase);

    targetPhrase->Evaluate(sourcePhrase, ruleTable.GetFeaturesToApply());

    // Insert rule into table.
    TargetPhraseCollection &coll = GetOrCreateTargetPhraseCollection(
                                     ruleTable, sourcePhrase, *targetPhrase, &sourceLHS);
    coll.Add(targetPhrase);
  }

  return true;
}