mirror of
https://github.com/moses-smt/mosesdecoder.git
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373 lines
12 KiB
C++
373 lines
12 KiB
C++
// vim:tabstop=2
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/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2006 University of Edinburgh
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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***********************************************************************/
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <limits.h>
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#include <sys/types.h>
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#include <unistd.h>
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#include <dirent.h>
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#include <fstream>
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#include <string>
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#include <iterator>
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#include <algorithm>
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#include "Loader.h"
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#include "LoaderFactory.h"
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#include "PhraseDictionaryFuzzyMatch.h"
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#include "moses/FactorCollection.h"
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#include "moses/Word.h"
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#include "moses/Util.h"
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#include "moses/InputFileStream.h"
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#include "moses/StaticData.h"
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#include "moses/WordsRange.h"
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#include "moses/UserMessage.h"
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#include "util/file.hh"
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#include "moses/TranslationModel/CYKPlusParser/ChartRuleLookupManagerMemoryPerSentence.h"
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using namespace std;
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namespace Moses
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{
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PhraseDictionaryFuzzyMatch::PhraseDictionaryFuzzyMatch(size_t numScoreComponents,
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PhraseDictionaryFeature* feature)
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: PhraseDictionary(numScoreComponents, feature)
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{
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//const StaticData &staticData = StaticData::Instance();
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//CHECK(staticData.ThreadCount() == 1);
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}
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bool PhraseDictionaryFuzzyMatch::Load(const std::vector<FactorType> &input
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, const std::vector<FactorType> &output
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, const std::string &initStr
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, const std::vector<float> &weight
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, size_t tableLimit,
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const LMList& languageModels,
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const WordPenaltyProducer* wpProducer)
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{
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m_languageModels = &(languageModels);
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m_wpProducer = wpProducer;
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m_tableLimit = tableLimit;
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m_input = &input;
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m_output = &output;
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m_weight = new vector<float>(weight);
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cerr << "initStr=" << initStr << endl;
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m_config = Tokenize(initStr, ";");
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assert(m_config.size() == 3);
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m_FuzzyMatchWrapper = new tmmt::FuzzyMatchWrapper(m_config[0], m_config[1], m_config[2]);
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return true;
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}
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ChartRuleLookupManager *PhraseDictionaryFuzzyMatch::CreateRuleLookupManager(
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const InputType &sentence,
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const ChartCellCollectionBase &cellCollection)
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{
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return new ChartRuleLookupManagerMemoryPerSentence(sentence, cellCollection, *this);
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}
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int removedirectoryrecursively(const char *dirname)
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{
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DIR *dir;
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struct dirent *entry;
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char path[PATH_MAX];
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if (path == NULL) {
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fprintf(stderr, "Out of memory error\n");
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return 0;
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}
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dir = opendir(dirname);
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if (dir == NULL) {
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perror("Error opendir()");
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return 0;
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}
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while ((entry = readdir(dir)) != NULL) {
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if (strcmp(entry->d_name, ".") && strcmp(entry->d_name, "..")) {
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snprintf(path, (size_t) PATH_MAX, "%s/%s", dirname, entry->d_name);
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if (entry->d_type == DT_DIR) {
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removedirectoryrecursively(path);
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}
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remove(path);
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/*
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* Here, the actual deletion must be done. Beacuse this is
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* quite a dangerous thing to do, and this program is not very
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* well tested, we are just printing as if we are deleting.
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*/
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//printf("(not really) Deleting: %s\n", path);
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/*
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* When you are finished testing this and feel you are ready to do the real
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* deleting, use this: remove*STUB*(path);
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* (see "man 3 remove")
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* Please note that I DONT TAKE RESPONSIBILITY for data you delete with this!
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*/
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}
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}
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closedir(dir);
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rmdir(dirname);
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/*
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* Now the directory is emtpy, finally delete the directory itself. (Just
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* printing here, see above)
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*/
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//printf("(not really) Deleting: %s\n", dirname);
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return 1;
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}
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void PhraseDictionaryFuzzyMatch::InitializeForInput(InputType const& inputSentence)
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{
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char dirName[] = "/tmp/moses.XXXXXX";
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char *temp = mkdtemp(dirName);
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CHECK(temp);
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string dirNameStr(dirName);
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string inFileName(dirNameStr + "/in");
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ofstream inFile(inFileName.c_str());
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for (size_t i = 1; i < inputSentence.GetSize() - 1; ++i)
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{
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inFile << inputSentence.GetWord(i);
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}
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inFile << endl;
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inFile.close();
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long translationId = inputSentence.GetTranslationId();
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string ptFileName = m_FuzzyMatchWrapper->Extract(translationId, dirNameStr);
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// populate with rules for this sentence
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PhraseDictionaryNodeSCFG &rootNode = m_collection[translationId];
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FormatType format = MosesFormat;
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// data from file
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InputFileStream inStream(ptFileName);
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// copied from class LoaderStandard
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PrintUserTime("Start loading fuzzy-match phrase model");
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const StaticData &staticData = StaticData::Instance();
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const std::string& factorDelimiter = staticData.GetFactorDelimiter();
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string lineOrig;
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size_t count = 0;
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while(getline(inStream, lineOrig)) {
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const string *line;
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if (format == HieroFormat) { // reformat line
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assert(false);
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//line = ReformatHieroRule(lineOrig);
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}
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else
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{ // do nothing to format of line
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line = &lineOrig;
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}
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vector<string> tokens;
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vector<float> scoreVector;
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TokenizeMultiCharSeparator(tokens, *line , "|||" );
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if (tokens.size() != 4 && tokens.size() != 5) {
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stringstream strme;
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strme << "Syntax error at " << ptFileName << ":" << count;
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UserMessage::Add(strme.str());
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abort();
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}
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const string &sourcePhraseString = tokens[0]
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, &targetPhraseString = tokens[1]
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, &scoreString = tokens[2]
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, &alignString = tokens[3];
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bool isLHSEmpty = (sourcePhraseString.find_first_not_of(" \t", 0) == string::npos);
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if (isLHSEmpty && !staticData.IsWordDeletionEnabled()) {
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TRACE_ERR( ptFileName << ":" << count << ": pt entry contains empty target, skipping\n");
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continue;
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}
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Tokenize<float>(scoreVector, scoreString);
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const size_t numScoreComponents = GetFeature()->GetNumScoreComponents();
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if (scoreVector.size() != numScoreComponents) {
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stringstream strme;
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strme << "Size of scoreVector != number (" << scoreVector.size() << "!="
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<< numScoreComponents << ") of score components on line " << count;
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UserMessage::Add(strme.str());
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abort();
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}
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CHECK(scoreVector.size() == numScoreComponents);
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// parse source & find pt node
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// constituent labels
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Word sourceLHS, targetLHS;
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// source
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Phrase sourcePhrase( 0);
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sourcePhrase.CreateFromStringNewFormat(Input, *m_input, sourcePhraseString, factorDelimiter, sourceLHS);
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// create target phrase obj
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TargetPhrase *targetPhrase = new TargetPhrase();
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targetPhrase->CreateFromStringNewFormat(Output, *m_output, targetPhraseString, factorDelimiter, targetLHS);
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// rest of target phrase
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targetPhrase->SetAlignmentInfo(alignString);
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targetPhrase->SetTargetLHS(targetLHS);
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//targetPhrase->SetDebugOutput(string("New Format pt ") + line);
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// component score, for n-best output
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std::transform(scoreVector.begin(),scoreVector.end(),scoreVector.begin(),TransformScore);
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std::transform(scoreVector.begin(),scoreVector.end(),scoreVector.begin(),FloorScore);
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targetPhrase->SetScoreChart(GetFeature(), scoreVector, *m_weight, *m_languageModels, m_wpProducer);
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TargetPhraseCollection &phraseColl = GetOrCreateTargetPhraseCollection(rootNode, sourcePhrase, *targetPhrase, sourceLHS);
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phraseColl.Add(targetPhrase);
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count++;
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if (format == HieroFormat) { // reformat line
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delete line;
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}
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else
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{ // do nothing
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}
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}
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// sort and prune each target phrase collection
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SortAndPrune(rootNode);
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//removedirectoryrecursively(dirName);
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}
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TargetPhraseCollection &PhraseDictionaryFuzzyMatch::GetOrCreateTargetPhraseCollection(PhraseDictionaryNodeSCFG &rootNode
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, const Phrase &source
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, const TargetPhrase &target
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, const Word &sourceLHS)
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{
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PhraseDictionaryNodeSCFG &currNode = GetOrCreateNode(rootNode, source, target, sourceLHS);
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return currNode.GetOrCreateTargetPhraseCollection();
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}
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PhraseDictionaryNodeSCFG &PhraseDictionaryFuzzyMatch::GetOrCreateNode(PhraseDictionaryNodeSCFG &rootNode
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, const Phrase &source
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, const TargetPhrase &target
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, const Word &sourceLHS)
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{
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cerr << source << endl << target << endl;
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const size_t size = source.GetSize();
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const AlignmentInfo &alignmentInfo = target.GetAlignNonTerm();
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AlignmentInfo::const_iterator iterAlign = alignmentInfo.begin();
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PhraseDictionaryNodeSCFG *currNode = &rootNode;
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for (size_t pos = 0 ; pos < size ; ++pos) {
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const Word& word = source.GetWord(pos);
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if (word.IsNonTerminal()) {
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// indexed by source label 1st
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const Word &sourceNonTerm = word;
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CHECK(iterAlign != alignmentInfo.end());
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CHECK(iterAlign->first == pos);
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size_t targetNonTermInd = iterAlign->second;
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++iterAlign;
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const Word &targetNonTerm = target.GetWord(targetNonTermInd);
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currNode = currNode->GetOrCreateChild(sourceNonTerm, targetNonTerm);
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} else {
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currNode = currNode->GetOrCreateChild(word);
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}
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CHECK(currNode != NULL);
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}
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// finally, the source LHS
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//currNode = currNode->GetOrCreateChild(sourceLHS);
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//CHECK(currNode != NULL);
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return *currNode;
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}
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void PhraseDictionaryFuzzyMatch::SortAndPrune(PhraseDictionaryNodeSCFG &rootNode)
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{
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if (GetTableLimit())
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{
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rootNode.Sort(GetTableLimit());
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}
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}
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void PhraseDictionaryFuzzyMatch::CleanUpAfterSentenceProcessing(const InputType &source)
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{
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m_collection.erase(source.GetTranslationId());
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}
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const PhraseDictionaryNodeSCFG &PhraseDictionaryFuzzyMatch::GetRootNode(const InputType &source) const
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{
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long transId = source.GetTranslationId();
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std::map<long, PhraseDictionaryNodeSCFG>::const_iterator iter = m_collection.find(transId);
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CHECK(iter != m_collection.end());
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return iter->second;
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}
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PhraseDictionaryNodeSCFG &PhraseDictionaryFuzzyMatch::GetRootNode(const InputType &source)
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{
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long transId = source.GetTranslationId();
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std::map<long, PhraseDictionaryNodeSCFG>::iterator iter = m_collection.find(transId);
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CHECK(iter != m_collection.end());
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return iter->second;
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}
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TO_STRING_BODY(PhraseDictionaryFuzzyMatch);
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// friend
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ostream& operator<<(ostream& out, const PhraseDictionaryFuzzyMatch& phraseDict)
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{
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typedef PhraseDictionaryNodeSCFG::TerminalMap TermMap;
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typedef PhraseDictionaryNodeSCFG::NonTerminalMap NonTermMap;
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/*
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const PhraseDictionaryNodeSCFG &coll = phraseDict.m_collection;
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for (NonTermMap::const_iterator p = coll.m_nonTermMap.begin(); p != coll.m_nonTermMap.end(); ++p) {
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const Word &sourceNonTerm = p->first.first;
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out << sourceNonTerm;
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}
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for (TermMap::const_iterator p = coll.m_sourceTermMap.begin(); p != coll.m_sourceTermMap.end(); ++p) {
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const Word &sourceTerm = p->first;
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out << sourceTerm;
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}
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*/
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return out;
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}
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}
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