mosesdecoder/moses/TranslationModel/RuleTable/PhraseDictionaryFuzzyMatch.cpp

365 lines
12 KiB
C++

// vim:tabstop=2
/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2006 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <limits.h>
#include <sys/types.h>
#include <unistd.h>
#include <dirent.h>
#include <fstream>
#include <string>
#include <iterator>
#include <algorithm>
#include "Loader.h"
#include "LoaderFactory.h"
#include "PhraseDictionaryFuzzyMatch.h"
#include "moses/FactorCollection.h"
#include "moses/Word.h"
#include "moses/Util.h"
#include "moses/InputFileStream.h"
#include "moses/StaticData.h"
#include "moses/WordsRange.h"
#include "moses/UserMessage.h"
#include "util/file.hh"
#include "moses/TranslationModel/CYKPlusParser/ChartRuleLookupManagerMemoryPerSentence.h"
using namespace std;
namespace Moses
{
PhraseDictionaryFuzzyMatch::PhraseDictionaryFuzzyMatch(const std::string &line)
: PhraseDictionary("PhraseDictionaryFuzzyMatch", line)
{}
bool PhraseDictionaryFuzzyMatch::Load(const std::vector<FactorType> &input
, const std::vector<FactorType> &output
, const std::string &initStr
, size_t tableLimit)
{
m_tableLimit = tableLimit;
m_input = &input;
m_output = &output;
cerr << "initStr=" << initStr << endl;
m_config = Tokenize(initStr, ";");
assert(m_config.size() == 3);
m_FuzzyMatchWrapper = new tmmt::FuzzyMatchWrapper(m_config[0], m_config[1], m_config[2]);
return true;
}
ChartRuleLookupManager *PhraseDictionaryFuzzyMatch::CreateRuleLookupManager(
const InputType &sentence,
const ChartCellCollectionBase &cellCollection)
{
return new ChartRuleLookupManagerMemoryPerSentence(sentence, cellCollection, *this);
}
int removedirectoryrecursively(const char *dirname)
{
DIR *dir;
struct dirent *entry;
char path[PATH_MAX];
if (path == NULL) {
fprintf(stderr, "Out of memory error\n");
return 0;
}
dir = opendir(dirname);
if (dir == NULL) {
perror("Error opendir()");
return 0;
}
while ((entry = readdir(dir)) != NULL) {
if (strcmp(entry->d_name, ".") && strcmp(entry->d_name, "..")) {
snprintf(path, (size_t) PATH_MAX, "%s/%s", dirname, entry->d_name);
if (entry->d_type == DT_DIR) {
removedirectoryrecursively(path);
}
remove(path);
/*
* Here, the actual deletion must be done. Beacuse this is
* quite a dangerous thing to do, and this program is not very
* well tested, we are just printing as if we are deleting.
*/
//printf("(not really) Deleting: %s\n", path);
/*
* When you are finished testing this and feel you are ready to do the real
* deleting, use this: remove*STUB*(path);
* (see "man 3 remove")
* Please note that I DONT TAKE RESPONSIBILITY for data you delete with this!
*/
}
}
closedir(dir);
rmdir(dirname);
/*
* Now the directory is emtpy, finally delete the directory itself. (Just
* printing here, see above)
*/
//printf("(not really) Deleting: %s\n", dirname);
return 1;
}
void PhraseDictionaryFuzzyMatch::InitializeForInput(InputType const& inputSentence)
{
char dirName[] = "/tmp/moses.XXXXXX";
char *temp = mkdtemp(dirName);
CHECK(temp);
string dirNameStr(dirName);
string inFileName(dirNameStr + "/in");
ofstream inFile(inFileName.c_str());
for (size_t i = 1; i < inputSentence.GetSize() - 1; ++i)
{
inFile << inputSentence.GetWord(i);
}
inFile << endl;
inFile.close();
long translationId = inputSentence.GetTranslationId();
string ptFileName = m_FuzzyMatchWrapper->Extract(translationId, dirNameStr);
// populate with rules for this sentence
PhraseDictionaryNodeMemory &rootNode = m_collection[translationId];
FormatType format = MosesFormat;
// data from file
InputFileStream inStream(ptFileName);
// 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
assert(false);
//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();
}
CHECK(scoreVector.size() == numScoreComponents);
// 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);
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);
}
TargetPhraseCollection &PhraseDictionaryFuzzyMatch::GetOrCreateTargetPhraseCollection(PhraseDictionaryNodeMemory &rootNode
, const Phrase &source
, const TargetPhrase &target
, const Word *sourceLHS)
{
PhraseDictionaryNodeMemory &currNode = GetOrCreateNode(rootNode, source, target, sourceLHS);
return currNode.GetOrCreateTargetPhraseCollection();
}
PhraseDictionaryNodeMemory &PhraseDictionaryFuzzyMatch::GetOrCreateNode(PhraseDictionaryNodeMemory &rootNode
, const Phrase &source
, const TargetPhrase &target
, const Word *sourceLHS)
{
cerr << source << endl << target << endl;
const size_t size = source.GetSize();
const AlignmentInfo &alignmentInfo = target.GetAlignNonTerm();
AlignmentInfo::const_iterator iterAlign = alignmentInfo.begin();
PhraseDictionaryNodeMemory *currNode = &rootNode;
for (size_t pos = 0 ; pos < size ; ++pos) {
const Word& word = source.GetWord(pos);
if (word.IsNonTerminal()) {
// indexed by source label 1st
const Word &sourceNonTerm = word;
CHECK(iterAlign != alignmentInfo.end());
CHECK(iterAlign->first == pos);
size_t targetNonTermInd = iterAlign->second;
++iterAlign;
const Word &targetNonTerm = target.GetWord(targetNonTermInd);
currNode = currNode->GetOrCreateChild(sourceNonTerm, targetNonTerm);
} else {
currNode = currNode->GetOrCreateChild(word);
}
CHECK(currNode != NULL);
}
// finally, the source LHS
//currNode = currNode->GetOrCreateChild(sourceLHS);
//CHECK(currNode != NULL);
return *currNode;
}
void PhraseDictionaryFuzzyMatch::SortAndPrune(PhraseDictionaryNodeMemory &rootNode)
{
if (GetTableLimit())
{
rootNode.Sort(GetTableLimit());
}
}
void PhraseDictionaryFuzzyMatch::CleanUpAfterSentenceProcessing(const InputType &source)
{
m_collection.erase(source.GetTranslationId());
}
const PhraseDictionaryNodeMemory &PhraseDictionaryFuzzyMatch::GetRootNode(const InputType &source) const
{
long transId = source.GetTranslationId();
std::map<long, PhraseDictionaryNodeMemory>::const_iterator iter = m_collection.find(transId);
CHECK(iter != m_collection.end());
return iter->second;
}
PhraseDictionaryNodeMemory &PhraseDictionaryFuzzyMatch::GetRootNode(const InputType &source)
{
long transId = source.GetTranslationId();
std::map<long, PhraseDictionaryNodeMemory>::iterator iter = m_collection.find(transId);
CHECK(iter != m_collection.end());
return iter->second;
}
TO_STRING_BODY(PhraseDictionaryFuzzyMatch);
// friend
ostream& operator<<(ostream& out, const PhraseDictionaryFuzzyMatch& phraseDict)
{
typedef PhraseDictionaryNodeMemory::TerminalMap TermMap;
typedef PhraseDictionaryNodeMemory::NonTerminalMap NonTermMap;
/*
const PhraseDictionaryNodeMemory &coll = phraseDict.m_collection;
for (NonTermMap::const_iterator p = coll.m_nonTermMap.begin(); p != coll.m_nonTermMap.end(); ++p) {
const Word &sourceNonTerm = p->first.first;
out << sourceNonTerm;
}
for (TermMap::const_iterator p = coll.m_sourceTermMap.begin(); p != coll.m_sourceTermMap.end(); ++p) {
const Word &sourceTerm = p->first;
out << sourceTerm;
}
*/
return out;
}
}