bool CTagger::train( const CStringVector * sentence , const CTwoStringVector * correct) {
++m_nTrainingRound ;
buildStateItem( sentence, correct, &m_goldState);
// Updates that are common for all example
for ( unsigned i=0; i<correct->size(); ++i ) {
const CWord &word = correct->at(i).first ;
unsigned long tag = CTag( correct->at(i).second ).code() ;
static CStringVector chars;
chars.clear();
getCharactersFromUTF8String(correct->at(i).first, &chars);
m_weights->m_mapWordFrequency[word]++;
if (m_weights->m_mapWordFrequency[word]>m_weights->m_nMaxWordFrequency)
m_weights->m_nMaxWordFrequency = m_weights->m_mapWordFrequency[word];
m_weights->m_mapTagDictionary.add(word, tag);
for ( unsigned j=0 ; j<chars.size() ; ++j ) {
m_weights->m_mapCharTagDictionary.add(chars[j], tag) ;
}
if ( PENN_TAG_CLOSED[tag] ) {
m_weights->m_mapCanStart.add(chars[0], tag);
}
if ( !m_weights->m_Knowledge ||
(!m_weights->m_Knowledge->isFWorCD(chars[0])&&
!m_weights->m_Knowledge->isFWorCD(chars[chars.size()-1])))
m_weights->setMaxLengthByTag( tag , chars.size() ) ;
}
tag( sentence, NULL, NULL, 1, NULL );
return m_bTrainingError;
}
void CTagger::updateScores(const CTwoStringVector* tagged, const CTwoStringVector* correct, unsigned long round) {
static int i , j ;
if ( *tagged != *correct ) {
for (i=0; i<tagged->size(); ++i)
updateLocalFeatureVector(eSubtract, tagged, i, round);
for (i=0; i<correct->size(); ++i)
updateLocalFeatureVector(eAdd, correct, i, round);
}
if (round>m_nNumberOfCurrentTrainingExample) {
//
// Updates that are common for all example
//
m_nNumberOfCurrentTrainingExample = round;
for (i=0; i<correct->size(); ++i) {
CWord word = correct->at(i).first;
CTag tag(correct->at(i).second);
CStringVector chars;
chars.clear();
getCharactersFromUTF8String(correct->at(i).first, &chars);
m_weights->m_mapWordFrequency[word]++;
m_weights->m_mapTagDictionary.add(word, tag);
if (m_weights->m_mapWordFrequency[word]>m_weights->m_nMaxWordFrequency) m_weights->m_nMaxWordFrequency = m_weights->m_mapWordFrequency[word];
for ( j = 0 ; j < chars.size() ; ++j ) m_weights->m_mapCharTagDictionary.add(chars[j], tag) ;
}
}
}
void ServiceController::Start(const CStringVector& ar) {
LPCTSTR *p = 0;
if (!ar.empty()) {
p = (LPCTSTR*)alloca(ar.size()*sizeof(LPCTSTR));
for (size_t i=0; i<ar.size(); ++i)
p[i] = ar[i];
}
Win32Check(::StartService(m_handle, (DWORD)ar.size(), p));
}
void process(const std::string &sInputFile, const std::string &sOutputFile, unsigned long nMaxSentSize) {
CDoc2Snt doc2snt(sInputFile, nMaxSentSize);
CSentenceWriter writer(sOutputFile);
CStringVector sent;
while (doc2snt.getSentence(sent)) {
if (sent.size()>0 && sent.back()=="\n")
sent.pop_back();
writer.writeSentence(&sent, "");
sent.clear();
}
}
void CFeatureHandle::updateLocalFeatureVector(SCORE_UPDATE method, const CStringVector* outout, int index, int round) {
// abstd::cout words
CWord word = outout->at(index);
CWord last_word = index>0 ? outout->at(index-1) : g_emptyWord;
CTwoWords two_word;
two_word.allocate(word.str(), last_word.str());
CStringVector chars;
chars.clear(); getCharactersFromUTF8String(word.str(), &chars);
// abstd::cout length
int length = getUTF8StringLength(word.str()); if (length > LENGTH_MAX-1) length = LENGTH_MAX-1;
int last_length = getUTF8StringLength(last_word.str()); if (last_length > LENGTH_MAX-1) last_length = LENGTH_MAX-1;
// abstd::cout chars
CWord first_char = getFirstCharFromUTF8String(word.str());
CWord last_char = getLastCharFromUTF8String(word.str());
CWord first_char_last_word = index>0 ? getFirstCharFromUTF8String(last_word.str()) : g_emptyWord;
CWord last_char_last_word = index>0 ? getLastCharFromUTF8String(last_word.str()) : g_emptyWord;
CWord two_char = index>0 ? last_char_last_word.str() + first_char.str() : g_emptyWord;
CTwoWords first_and_last_char, lastword_firstchar, currentword_lastchar, firstcharlastword_word, lastword_lastchar;
first_and_last_char.allocate(first_char.str(), last_char.str());
if (index>0) {
lastword_firstchar.allocate(last_word.str(), first_char.str());
currentword_lastchar.allocate(word.str(), last_char_last_word.str());
firstcharlastword_word.allocate(first_char_last_word.str(), first_char.str());
lastword_lastchar.allocate(last_char_last_word.str(), last_char.str());
}
SCORE_TYPE amount = ( (method==eAdd) ? 1 : -1 ) ;
m_weights.m_mapSeenWords.updateScore(word, amount, round);
m_weights.m_mapLastWordByWord.updateScore(two_word, amount, round);
if (length==1) m_weights.m_mapOneCharWord.updateScore(first_char, amount, round);
else {
m_weights.m_mapFirstAndLastChars.updateScore(first_and_last_char, amount, round);
for (int j=0; j<chars.size()-1; j++) {
m_weights.m_mapConsecutiveChars.updateScore(chars[j]+chars[j+1], amount, round);
}
m_weights.m_mapLengthByFirstChar.updateScore(std::make_pair(first_char, length), amount, round);
m_weights.m_mapLengthByLastChar.updateScore(std::make_pair(last_char, length), amount, round);
}
if (index>0) {
m_weights.m_mapSeparateChars.updateScore(two_char, amount, round);
m_weights.m_mapLastWordFirstChar.updateScore(lastword_firstchar, amount, round);
m_weights.m_mapCurrentWordLastChar.updateScore(currentword_lastchar, amount, round);
m_weights.m_mapFirstCharLastWordByWord.updateScore(firstcharlastword_word, amount, round);
m_weights.m_mapLastWordByLastChar.updateScore(lastword_lastchar, amount, round);
m_weights.m_mapLengthByLastWord.updateScore(std::make_pair(last_word, length), amount, round);
m_weights.m_mapLastLengthByWord.updateScore(std::make_pair(word, last_length), amount, round);
}
}
bool CTagger::train( const CStringVector * sentence_input , const CTwoStringVector * correct) {
++m_nTrainingRound ;
static CStringVector sentence;
m_weights->m_rules.record( correct, &sentence );
buildStateItem( &sentence, correct, &m_goldState);
// for (int i=0; i<sentence.size(); ++i)
// std::cout << m_weights->m_rules.canSeparate(i) << std::endl;
static unsigned total_size, local_size;
total_size=0;
// Updates that are common for all example
for ( unsigned i=0; i<correct->size(); ++i ) {
const CWord &word = correct->at(i).first ;
unsigned long tag = CTag( correct->at(i).second ).code() ;
static CStringVector chars;
static unsigned j;
chars.clear();
getCharactersFromUTF8String(correct->at(i).first, &chars);
local_size = chars.size();
m_weights->m_mapWordFrequency[word]++;
if (m_weights->m_mapWordFrequency[word]>m_weights->m_nMaxWordFrequency)
m_weights->m_nMaxWordFrequency = m_weights->m_mapWordFrequency[word];
m_weights->m_mapTagDictionary.add(word, tag);
for ( j=0 ; j<local_size; ++j ) {
m_weights->m_mapCharTagDictionary.add(chars[j], tag) ;
}
if ( PENN_TAG_CLOSED[tag] || tag==PENN_TAG_CD ) {
m_weights->m_mapCanStart.add(chars[0], tag);
}
// if ( !m_weights->m_Knowledge ||
// (!m_weights->m_Knowledge->isFWorCD(chars[0])&&
// !m_weights->m_Knowledge->isFWorCD(chars[chars.size()-1])))
bool bNoSep=false;
for ( j=total_size+1; j<total_size+local_size; ++j)
if (!m_weights->m_rules.canSeparate(j)) bNoSep = true;
if (!bNoSep)
m_weights->setMaxLengthByTag( tag , local_size ) ;
total_size += chars.size();
}
work( &sentence, NULL, NULL, 1, NULL );
return m_bTrainingError;
}
CStringVector SplitString( const CString& strString, LPCTSTR szSplitter )
{
CStringVector arrStrings;
int curPos = 0;
CString resToken = strString.Tokenize(szSplitter, curPos);
while (resToken != _T(""))
{
arrStrings.push_back(resToken);
resToken = strString.Tokenize(szSplitter, curPos);
};
return arrStrings;
}
SCORE_TYPE CTagger::getGlobalScore(const CTwoStringVector* tagged) {
static int i;
static CStateItem item ;
static CStringVector raw;
static SCORE_TYPE rv; rv=0;
raw.clear();
for (i=0; i<tagged->size(); ++i)
getCharactersFromUTF8String(tagged->at(i).first, &raw);
buildStateItem( &raw, tagged, &item );
for (i=0; i<tagged->size(); ++i)
rv += getOrUpdateLocalScore(&raw, &item, i);
return rv;
}
HRESULT CDBStepNC::InsertRow(CString table, CStringVector & columns, CStringVector & values)
{
CCommand< CDynamicStringAccessor > sqlInsertCommand;
int i;
CString tszSQL;
HRESULT hr;
if(values.size() != columns.size())
return E_INVALIDARG;
if(values.size() == 0 || columns.size()==0)
return E_INVALIDARG;
tszSQL.Format("INSERT INTO %s (", table);
for(i=0; i<columns.size(); i++)
{
if(i>0) tszSQL+=" ,";
tszSQL.AppendFormat("%s", columns[i]);
}
tszSQL.AppendFormat(") VALUES (");
for(i=0; i<values.size(); i++)
{
if(i>0) tszSQL+=" ,";
tszSQL.AppendFormat("'%s'", values[i]);
}
tszSQL.AppendFormat(")");
hr = sqlInsertCommand.Open( m_session, tszSQL );
return hr;
}
int
PokerData::SetUserAvatar(int nUserId, _String &sAvatarFileName, int nAvatarId /*= -1*/, bool bIsPrivateAvatar /*= true*/){
if( nUserId <= 0 ) return 0;
SetUserAvatarProc proc;
proc.m_nAvatarId = nAvatarId;
proc.m_nUserId = nUserId;
proc.m_bIsPrivateAvatar = bIsPrivateAvatar;
int nRet = 0;
if( m_pDataMan->ExecuteProc(&proc) && proc.m_nSuccess == 0 ){
int nAvatarIdNew = proc.m_nAvatarIdNew;
nRet = nAvatarIdNew;
if( nAvatarId != nAvatarIdNew ){
sAvatarFileName = GetAvatarFileName(nAvatarIdNew);
// Update new avatars file name. {{
PokerAvatar avatarNew;
avatarNew.m_nId = nAvatarIdNew;
avatarNew.m_sAvatarFileName = sAvatarFileName;
CStringVector arrDirtyFields;
arrDirtyFields.push_back(_T("AVATAR_FILE_NAME"));
if( m_pDataMan->SaveRecord(&avatarNew, &arrDirtyFields) ){
/*
PokerAvatar* pAvatarInfoNew = new PokerAvatar();
pAvatarInfoNew->m_nId = proc.m_nAvatarIdNew;
pAvatarInfoNew->m_nPrivateUserId = nUserId;
pAvatarInfoNew->m_sAvatarFileName = sAvatarFileName;
pAvatarInfoNew->m_recStatus = 0;
m_listAvatars.Add(pAvatarInfoNew);
*/
}
// }}
}
else
sAvatarFileName = GetAvatarFileName(nAvatarId);
nAvatarIdNew = proc.m_nAvatarIdNew;
}
return nRet;
}
void CSegmentor::segment(const CStringVector* sentence_input, CStringVector *vReturn, double *out_scores, int nBest) {
#ifdef DEBUG
clock_t total_start_time = clock();;
#endif
TRACE("Starting segmenting a sentence...");
// turn the spaces in the input sentence into rules that separate corresponding characters
static CStringVector sentence;
static CRule rules(m_Feature->m_bRule);
rules.segment(sentence_input, &sentence);
const unsigned long length = sentence.size();
assert(length<MAX_SENTENCE_SIZE);
assert(vReturn!=NULL);
vReturn->clear();
// try to work std::cout the best item with the
// correct outout reference param as NULL
work(this, sentence, vReturn, out_scores, rules, NULL, nBest, -1);
TRACE("total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC);
}
// Получить пути к дочерним веткам реестра
CStringVector GetChildRegKeys( LPCTSTR szPath )
{
HKEY hKey;
if ( RegOpenKey(HKEY_LOCAL_MACHINE, szPath, &hKey) != ERROR_SUCCESS )
return CStringVector();
DWORD dwLargestKeySize = 0;
if ( RegQueryInfoKey(hKey, 0,0,0,0,&dwLargestKeySize,0,0,0,0,0,0) != ERROR_SUCCESS )
dwLargestKeySize = 1024;
LPTSTR szKeyBuf = new TCHAR[dwLargestKeySize+2];
CStringVector arrKeys;
DWORD i=0;
while ( RegEnumKey(hKey, i++, szKeyBuf, dwLargestKeySize+1) == ERROR_SUCCESS )
{
arrKeys.push_back(szKeyBuf);
}
RegCloseKey(hKey);
delete[] szKeyBuf;
return arrKeys;
}
void CSegmentor::train(const CStringVector* sentence_input, const CStringVector* correct, int & round) {
#ifdef DEBUG
clock_t total_start_time = clock();;
#endif
TRACE("Starting training using a sentence...");
static CStringVector sentence;
static CRule rules(m_Feature->m_bRule);
rules.segment(sentence_input, &sentence);
const unsigned long int length = sentence.size();
assert(length<MAX_SENTENCE_SIZE);
static std::vector<unsigned> correct_starts;
static int word_length, word_index, char_length, char_index; // word_xxx are from correct, char_xxx from sentence
char_index = 0;
int count = 0;
correct_starts.clear();
correct_starts.push_back(count);
for (word_index=0; word_index<correct->size(); word_index++) {
word_length = correct->at(word_index).size();
char_length = 0;
while (char_length<word_length) {
char_length += sentence[char_index++].size();
count += 1;
}
assert(char_length==word_length);
correct_starts.push_back(count);
}
// the main learning process with update
work(this, sentence, 0, 0, rules, &correct_starts, 1, round);
TRACE("Done");
TRACE("total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC);
}
void CTagger::updateScores(const CTwoStringVector* tagged, const CTwoStringVector* correct, unsigned long round) {
static int i , j ;
static CStateItem item ;
static CStringVector raw;
if ( *tagged != *correct ) {
// get raw sentence from tagged output
raw.clear();
for (i=0; i<tagged->size(); ++i)
getCharactersFromUTF8String(tagged->at(i).first, &raw);
buildStateItem( &raw, tagged, &item );
for (i=0; i<tagged->size(); ++i)
getOrUpdateLocalScore(&raw, &item, i, -1, round);
buildStateItem( &raw, correct, &item );
for (i=0; i<correct->size(); ++i)
getOrUpdateLocalScore(&raw, &item, i, 1, round);
}
if ( round > m_nNumberOfCurrentTrainingExample ) {
m_nNumberOfCurrentTrainingExample = round ;
// Updates that are common for all example
for ( i=0; i<correct->size(); ++i ) {
const CWord &word = correct->at(i).first ;
unsigned long tag = CTag( correct->at(i).second ).code() ;
CStringVector chars;
chars.clear();
getCharactersFromUTF8String(correct->at(i).first, &chars);
m_weights->m_mapWordFrequency[word]++;
if (m_weights->m_mapWordFrequency[word]>m_weights->m_nMaxWordFrequency) m_weights->m_nMaxWordFrequency = m_weights->m_mapWordFrequency[word];
m_weights->m_mapTagDictionary.add(word, tag);
for ( j = 0 ; j < chars.size() ; ++j ) m_weights->m_mapCharTagDictionary.add(chars[j], tag) ;
if ( !m_weights->m_Knowledge ||
(!m_weights->m_Knowledge->isFWorCD(chars[0])&&!m_weights->m_Knowledge->isFWorCD(chars[chars.size()-1])))
m_weights->setMaxLengthByTag( tag , chars.size() ) ;
}
}
}
// line 1 - TOOL (start of tool definition)
// line 2 - tool material (1-HSS, 2-CARBIDE, 3-COATED CAR, 4-CERAMIC, 5-BORZON, 10-UNKNOWN)
// line 3 - tool comment
// line 4 - tool name (geometry reference for backplot)
// line 5 - tool manufacturer
// line 6 - chuck designation
// line 7 - tool_no, tool_type, rad_type, dia, crad, thds, tip_angle,
// dia_off, len_off, feed, plunge, retract, rpm, coolant, n_flutes
// line 8 - Drilling attributes (see tool_type in line 7 above)
// line 8 - cycle, peck1, peck2, peck_clr, chip_brk, dwell, shldr_angle, root_dia (tap), bore_shift
// line 8 - Milling attributes (see tool_type in line 7 above)
// line 8 - cut_able, rgh_x, rgh_z, fin_x, fin_z, tip_dia, root_dia (thd mill), thd_angle
// line 9 - pilot_dia, flute_len, oa_len, shldr_len, arbor_dia, hldr_dia, hldr_len, spindle_ccw, sfm, fpt, metric
HRESULT CDBStepNC::LoadMasterCAMTool(CString filename)
{
CString contents = ReadAFile(filename);
if(contents.GetLength()< 1)
return E_INVALIDARG;
CStringVector lines = CStringVector::Tokenize(contents, "\n");
CStringVector columns;
columns.push_back("toolid");
columns.push_back("name");
columns.push_back("tooltypeid");
columns.push_back("materialid");
columns.push_back("number_of_teeth");
columns.push_back("hand_of_cut");
columns.push_back("coolant_through_tool");
columns.push_back("cutting_edge_length");
columns.push_back("flute_length");
columns.push_back("overall_length");
columns.push_back("shoulder_length");
columns.push_back("tip_diameter");
columns.push_back("tool_tip_half_angle");
columns.push_back("sfm");
columns.push_back("fpt");
columns.push_back("metric");
CStringVector values;
values.resize(16);
for(int i=40, j=1; i< lines.size(); i+=10, j++)
{
CStringVector items1 = CStringVector::Tokenize(lines[i+1]," ");
CStringVector items2 = CStringVector::Tokenize(lines[i+2]," ");
CStringVector items3 = CStringVector::Tokenize(lines[i+3]," ");
CStringVector items7 = CStringVector::Tokenize(lines[i+7]," ");
CStringVector items8 = CStringVector::Tokenize(lines[i+8]," ");
CStringVector items9 = CStringVector::Tokenize(lines[i+9]," ");
values[0] =StrFormat("%d", j); // toolid
values[1]=lines[i+3].Mid(lines[i+3].Find("-")+1).Trim(); // name
values[2]=items7[3].Trim(); // tooltypeid
values[3]=items2[2].Trim(); // materialid
values[4]= items7[16].Trim(); // number_of_teeth
values[5]= (items9[9] ==1) ? "LEFT" : "RIGHT"; // hand_of_cut
values[6]= items7[15]; // coolant_through_tool
values[7]= items9[3]; // cutting_edge_length
values[8]= items9[3]; // flute_length
values[9]= items7[10]; // overall_length
values[10]= items9[5]; // shoulder_length
values[11]= items7[5]; // tip_diameter
values[12]= items7[8]; // tool_tip_half_angle
values[13]= items9[10]; // sfm
values[14]= items9[11]; // fpt
values[15]= items9[12].Trim(); // metric
InsertRow("milling_cutter", columns, values);
}
return S_OK;
}
void CTagger :: updateLocalFeatureVector( SCORE_UPDATE method , const CTwoStringVector * sentence , unsigned long index , unsigned long round ) {
// abstd::cout words
CWord word = sentence->at( index ).first ;
CWord last_word = index > 0 ? sentence->at( index - 1 ).first : g_emptyWord ;
CWord next_word = index < sentence->size() - 1 ? sentence->at( index + 1 ).first : g_emptyWord ;
CStringVector chars , last_chars ;
chars.clear() ;
getCharactersFromUTF8String( sentence->at(index).first , &chars ) ;
last_chars.clear() ;
if ( index > 0 ) getCharactersFromUTF8String( sentence->at( index - 1 ).first , &last_chars ) ;
// abstd::cout length
int length = chars.size() ; //if ( length > LENGTH_MAX-1 ) length = LENGTH_MAX-1 ;
int last_length = last_chars.size() ; //if ( last_length > LENGTH_MAX-1 ) last_length = LENGTH_MAX-1 ;
// abstd::cout chars
CWord first_char = chars[ 0 ];
CWord last_char = chars[ chars.size() - 1 ];
CWord first_char_last_word = index > 0 ? last_chars[ 0 ] : g_emptyWord;
CWord last_char_last_word = index > 0 ? last_chars[ last_chars.size() - 1 ] : g_emptyWord;
CWord first_char_next_word = index + 1 < sentence->size() ? getFirstCharFromUTF8String( sentence->at( index + 1 ).first ) : g_emptyWord ;
CWord last_twochar_last_word = last_chars.size() > 1 ? last_chars[ last_chars.size() - 2 ] + last_chars[ last_chars.size() - 1]
: ( index > 1 ? getLastCharFromUTF8String(sentence->at(index-2).first) + last_chars[ 0 ] : g_emptyWord );
CWord first_twochar = chars.size() > 1 ? chars[ 0 ] + chars [ 1 ] : ( index + 1 <sentence->size() ? chars[ 0 ] + getFirstCharFromUTF8String( sentence->at( index + 1 ).first ) : g_emptyWord );
CWord currentword_lasttwochar = index > 1 ? last_twochar_last_word.str() + word.str() : g_emptyWord ;
CWord lastword_firsttwochar = index > 0 && index+1 < sentence->size() ? last_word.str() + first_twochar.str() : g_emptyWord ;
CWord two_char = index > 0 ? last_char_last_word.str() + first_char.str() : g_emptyWord ;
CWord lastword_firstchar = index > 0 ? last_word.str() + first_char.str() : g_emptyWord ;
CWord currentword_lastchar = index > 0 ? last_char_last_word.str() + word.str() : g_emptyWord ;
CWord three_char = length == 1 ? last_char_last_word.str() + word.str() + first_char_next_word.str() : g_emptyWord ;
CTwoWords two_word ;
// abstd::cout tags
const CTag tag( sentence->at(index).second ) ;
const CTag last_tag = index > 0 ? CTag( sentence->at( index-1 ).second) : CTag::SENTENCE_BEGIN ;
const CTag second_last_tag = index > 1 ? CTag( sentence->at( index-2 ).second) : CTag::SENTENCE_BEGIN ;
const CTagSet<CTag, 2> tag_bigram(encodeTags(tag, last_tag));
const CTagSet<CTag, 3> tag_trigram(encodeTags(tag, last_tag, second_last_tag));
CTaggedWord<CTag, TAG_SEPARATOR> wt1, wt2;
CTwoTaggedWords wt12;
// abstd::cout the char categories
long int first_char_cat = m_weights->m_mapCharTagDictionary.lookup(first_char) | (1<<tag.code()) ;
long int last_char_cat = m_weights->m_mapCharTagDictionary.lookup(last_char) | (1<<tag.code()) ;
SCORE_TYPE amount = method == eAdd ? 1 : -1 ;
m_weights->m_mapCurrentTag[ std::make_pair(word, tag) ].updateCurrent( amount , round ) ;
m_weights->m_mapLastTagByTag[ tag_bigram ].updateCurrent( amount , round ) ;
m_weights->m_mapLastTwoTagsByTag[ tag_trigram ].updateCurrent( amount , round ) ;
if ( index > 0 ) {
if ( last_length <= 2 ) m_weights->m_mapTagByLastWord[ std::make_pair(last_word, tag) ].updateCurrent( amount , round ) ;
if ( length <= 2 ) m_weights->m_mapLastTagByWord[ std::make_pair(word, last_tag) ].updateCurrent( amount , round ) ;
if ( length <= 2 ) m_weights->m_mapTagByWordAndPrevChar[ std::make_pair(currentword_lastchar, tag) ].updateCurrent( amount , round ) ;
if ( last_length <= 2 ) m_weights->m_mapTagByWordAndNextChar[ std::make_pair(lastword_firstchar, last_tag) ].updateCurrent( amount , round ) ;
}
if ( length == 1 ) {
if ( index > 0 && index < sentence->size() - 1 )
m_weights->m_mapTagOfOneCharWord[ std::make_pair(three_char, tag) ].updateCurrent( amount , round ) ;
}
else {
m_weights->m_mapTagByFirstChar[ std::make_pair(first_char, tag) ].updateCurrent( amount , round ) ;
m_weights->m_mapTagByLastChar[ std::make_pair(last_char, tag) ].updateCurrent( amount , round ) ; //
m_weights->m_mapTagByFirstCharCat[ std::make_pair(first_char_cat, tag) ].updateCurrent( amount , round ) ;
m_weights->m_mapTagByLastCharCat[ std::make_pair(last_char_cat, tag) ].updateCurrent( amount , round ) ;
for ( int j = 0 ; j < chars.size() ; ++ j ) {
if ( j > 0 && j < chars.size() - 1 )
m_weights->m_mapTagByChar[ std::make_pair(CWord(chars[j]), tag) ].updateCurrent( amount , round ) ;
if ( j > 0 ) {
wt1.load(chars[j], tag);
wt2.load(first_char);
wt12.allocate(wt1, wt2);
m_weights->m_mapTaggedCharByFirstChar[ wt12 ].updateCurrent( amount , round ) ;
if ( chars[j] == chars[j-1] ) m_weights->m_mapRepeatedCharByTag[ std::make_pair(CWord(chars[j]), tag) ].updateCurrent( amount , round ) ; //
}
if (j<chars.size()-1) {
wt1.load(chars[j], tag);
wt2.load(last_char);
wt12.allocate(wt1, wt2);
m_weights->m_mapTaggedCharByLastChar[ wt12 ].updateCurrent(amount, round);
}
}
}
}
void CSegmentor::segment(const CStringVector* sentence_input, CStringVector *vReturn, double *out_scores, int nBest) {
clock_t total_start_time = clock();;
const CStateItem *pGenerator, *pCandidate;
CStateItem tempState;
unsigned index; // the index of the current char
unsigned j, k; // temporary index
int subtract_score; // the score to be subtracted (previous item)
static CStateItem best_bigram;
int start_index;
int word_length;
int generator_index;
static CStringVector sentence;
static CRule rules(m_Feature->m_bRule);
rules.segment(sentence_input, &sentence);
const unsigned length = sentence.size();
assert(length<MAX_SENTENCE_SIZE);
assert(vReturn!=NULL);
//clock_t start_time = clock();
TRACE("Initialising the segmentation process...");
vReturn->clear();
clearWordCache();
m_Chart.clear();
tempState.clear();
m_Chart[0]->insertItem(&tempState);
TRACE("Segmenting started");
for (index=0; index<length; index++) {
// m_Chart index 1 correspond to the first char
m_Chart[index+1];
// control for the ending character of the candidate
if ( index < length-1 && rules.canSeparate(index+1)==false )
continue ;
start_index = index-1 ; // the end index of last word
word_length = 1 ; // current word length
// enumerating the start index
// ===========================
// the start index of the word is actually start_index + 1
while( start_index >= -1 && word_length <= MAX_WORD_SIZE ) {
// control for the starting character of the candidate
// ---------------------------------------------------
while ( start_index >= 0 && rules.canSeparate(start_index+1)==false )
start_index-- ;
// start the search process
// ------------------------
for ( generator_index = 0 ; generator_index < m_Chart[ start_index+1 ]->size() ; ++ generator_index ) {
pGenerator = m_Chart[ start_index+1 ]->item( generator_index ) ;
tempState.copy( pGenerator ) ;
tempState.append( index ) ;
tempState.m_nScore += m_Feature->getLocalScore( &sentence, &tempState, tempState.m_nLength-1 ) ;
if (nBest==1) {
if ( generator_index == 0 || tempState.m_nScore > best_bigram.m_nScore ) {
best_bigram.copy(&tempState); //@@@
}
}
else {
m_Chart[ index+1 ]->insertItem( &tempState );
}
}
if (nBest==1) {
m_Chart[ index+1 ]->insertItem( &best_bigram ); //@@@
} //@@@
// control the first character of the candidate
if ( rules.canAppend(start_index+1)==false )
break ;
// update start index and word len
--start_index ;
++word_length ;
}//start_index
}
// now generate outout sentence
// n-best list will be stored in array
// from the addr vReturn
TRACE("Outputing sentence");
for (k=0; k<nBest; ++k) {
// clear
vReturn[k].clear();
if (out_scores!=NULL)
out_scores[k] = 0;
// assign retval
if (k<m_Chart[length]->size()) {
pGenerator = m_Chart[length]->bestItem(k);
for (j=0; j<pGenerator->m_nLength; j++) {
std::string temp = "";
for (unsigned l = pGenerator->getWordStart(j); l <= pGenerator->getWordEnd(j); ++l) {
assert(sentence.at(l)!=" "); // [SPACE]
temp += sentence.at(l);
}
vReturn[k].push_back(temp);
}
if (out_scores!=NULL)
out_scores[k] = pGenerator->m_nScore;
}
}
TRACE("Done, the best score: " << pGenerator->m_nScore);
TRACE("total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC);
}
void CSegmentor::segment(const CStringVector* sentence_input, CStringVector *vReturn, double *out_scores, int nBest) {
clock_t total_start_time = clock();;
CStateItem *pGenerator, *pCandidate;
unsigned index; // the index of the current char
unsigned j, k; // temporary index
int subtract_score; // the score to be subtracted (previous item)
static unsigned doneLastWord[MAX_SENTENCE_SIZE];
static CStringVector sentence;
static CRule rules(m_Feature->m_bRule);
rules.segment(sentence_input, &sentence);
const unsigned length = sentence.size();
if (length > MAX_SENTENCE_SIZE) {
std::cerr << "The size of the sentence is " << length << " characters, which is larger than the limit of the system (" << MAX_SENTENCE_SIZE <<std::endl;
vReturn->clear();
return;
}
assert(vReturn!=NULL);
//clock_t start_time = clock();
TRACE("Initialising the segmentation process...");
vReturn->clear();
clearWordCache();
m_Agenda->clear();
pCandidate = m_Agenda->candidateItem(); // make the first item
pCandidate->clear(); // restore state using clean
m_Agenda->pushCandidate(); // and push it back
m_Agenda->nextRound(); // as the generator item
if (nBest == 1) // optimization for one best
for (j=0; j<MAX_SENTENCE_SIZE; ++j) doneLastWord[j] = 0;
TRACE("Segmenting started");
//TRACE("initialisation time: " << clock() - start_time);
for (index=0; index<length; index++) {
// generate new state itmes for each character
pGenerator = m_Agenda->generatorStart();
for (j=0; j<m_Agenda->generatorSize(); ++j) {
// 1. generate new items according to each previous item.
if (pGenerator->m_nLength>0) k = pGenerator->getWordStart(pGenerator->m_nLength-1);
// If we only ask 1-best, then we take only the best among those with the last word
if ( ( nBest > 1 || pGenerator->m_nLength==0 || doneLastWord[k]<index+1 ) &&
rules.canSeparate( index )
) {
pCandidate = m_Agenda->candidateItem();
pCandidate->copy(pGenerator);
pCandidate->append(index);
pCandidate->m_nScore += m_Feature->getLocalScore(&sentence, pCandidate, pCandidate->m_nLength-1);
m_Agenda->pushCandidate();
if (nBest == 1 && pGenerator->m_nLength>0) doneLastWord[k] = index+1;
}
// 2. generate by replacing items
if ( index > 0 && rules.canAppend(index) ) {
pCandidate = m_Agenda->candidateItem();
pCandidate->copy(pGenerator);
subtract_score = m_Feature->getLocalScore(&sentence, pGenerator, pGenerator->m_nLength-1);
pCandidate->m_nScore -= subtract_score;
pCandidate->replace(index);
pCandidate->m_nScore += m_Feature->getLocalScore(&sentence, pCandidate, pCandidate->m_nLength-1);
m_Agenda->pushCandidate();
}
pGenerator = m_Agenda->generatorNext(); // next generator
}
m_Agenda->nextRound(); // move round
}
// now generate outout sentence
// n-best list will be stored in array
// from the addr vReturn
TRACE("Outputing sentence");
for (k=0; k<nBest; ++k) {
// clear
vReturn[k].clear();
if (out_scores!=NULL)
out_scores[k] = 0;
// assign retval
if (k<m_Agenda->generatorSize()) {
pGenerator = m_Agenda->generator(k);
for (j=0; j<pGenerator->m_nLength; j++) {
std::string temp = "";
for (unsigned l = pGenerator->getWordStart(j); l <= pGenerator->getWordEnd(j); ++l) {
assert(sentence.at(l)!=" "); // [SPACE]
temp += sentence.at(l);
}
vReturn[k].push_back(temp);
}
if (out_scores!=NULL)
out_scores[k] = pGenerator->m_nScore;
}
}
TRACE("Done, the best score: " << pGenerator->m_nScore);
TRACE("total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC);
}
void CTagger::tag( const CStringVector * sentence_input , CTwoStringVector * vReturn , SCORE_TYPE * out_scores , unsigned long nBest , const CBitArray * prunes ) {
clock_t total_start_time = clock();;
int temp_index;
const CSubStateItem *pGenerator;
CSubStateItem tempState;
int j, k;
unsigned tag;
unsigned index, last_tag;
static CSubStateItem uniqueItems[AGENDA_SIZE];
unsigned long uniqueIndex;
static bool bUnique;
// unsigned long long uniqueMarkup;
// assert(CTag::COUNT<=sizeof(unsigned long long)*8);
static CStringVector sentence;
static CRule rules(m_weights->m_bSegmentationRules);
rules.segment(sentence_input, &sentence);
const unsigned length=sentence.size();
static CSubStateItem goldState;
goldState.clear();
TRACE("Initialising the tagging process...");
m_WordCache.clear();
tempState.clear();
m_Agenda.clear();
m_Agenda.pushCandidate(&tempState);
m_Agenda.nextRound();
TRACE("Tagging started");
//TRACE("initialisation time: " << clock() - start_time);
for (index=0; index<length; index++) {
// decide correction
if ( m_bTrain ) {
static bool bAnyCorrect;
bAnyCorrect = false;
pGenerator = m_Agenda.generatorStart();
for (j=0; j<m_Agenda.generatorSize(); ++j) {
if ( *pGenerator == goldState ) bAnyCorrect = true;
pGenerator = m_Agenda.generatorNext(); // next generator
}
if ( !bAnyCorrect ) {
TRACE("Training error at character " << index);
pGenerator = m_Agenda.bestGenerator();
updateScoreForState(&sentence, pGenerator, -1);
updateScoreForState(&sentence, &goldState, 1);
m_bTrainingError = true;
return;
}
}
// 2. generate by replacing items
if ( index > 0 ) {
pGenerator = m_Agenda.generatorStart();
for (j=0; j<m_Agenda.generatorSize(); ++j) {
assert(pGenerator->size()>0);
if ( ( rules.canAppend(index) ) && // ( index > 0 ) &&
pGenerator->getWordLength(pGenerator->size()-1) <
m_weights->m_maxLengthByTag[pGenerator->getTag(pGenerator->size()-1).code()]
) {
tempState.copy(pGenerator);
tempState.replaceIndex(index);
tempState.score += getOrUpdateAppendScore(&sentence, &tempState, tempState.size()-1, index);
if (index+1==length) tempState.score += getOrUpdateSeparateScore(&sentence, &tempState, tempState.size());
m_Agenda.pushCandidate(&tempState);
} // if
pGenerator = m_Agenda.generatorNext(); // next generator
}
}
//_
// 1. generate new items according to each previous item.
// iterate postags
for (tag=CTag::FIRST; tag<CTag::COUNT; ++tag) {
pGenerator = m_Agenda.generatorStart();
// uniqueMarkup=0;
uniqueIndex=0;
for (j=0; j<m_Agenda.generatorSize(); ++j) {
last_tag = pGenerator->size()==0 ? CTag::SENTENCE_BEGIN : pGenerator->getTag(pGenerator->size()-1).code();
if ( rules.canSeparate( index ) &&
(index == 0 || canAssignTag( m_WordCache.find( pGenerator->getWordStart(pGenerator->size()-1), index-1, &sentence ), last_tag )) && // last word
canStartWord(sentence, tag, index) // word
) {
tempState.copy(pGenerator);
tempState.append(index, tag);
tempState.score += getOrUpdateSeparateScore(&sentence, &tempState, tempState.size()-1);
if (index+1==length) tempState.score += getOrUpdateSeparateScore(&sentence, &tempState, tempState.size());
if (nBest==1) {
// if ( ((uniqueMarkup&(1LL<<last_tag))==0LL) || uniqueItems[last_tag].score < tempState.score ) {
// uniqueMarkup |= (1LL<<last_tag);
// uniqueItems[last_tag].copy(&tempState);
// }
bUnique = true;
for (temp_index=0; temp_index<uniqueIndex; ++temp_index) {
// only one new when index=zero.
assert(index>0&&uniqueItems[temp_index].size()>1);
if (uniqueItems[temp_index].getTag(uniqueItems[temp_index].size()-2) == tempState.getTag(tempState.size()-2) &&
uniqueItems[temp_index].getWordStart(uniqueItems[temp_index].size()-2) == tempState.getWordStart(tempState.size()-2)
) {
bUnique = false;
if (uniqueItems[temp_index].score < tempState.score )
uniqueItems[temp_index].copy(&tempState);
}//if
}//for
if (bUnique) {
uniqueItems[uniqueIndex++].copy(&tempState);
}//if
}
else {
m_Agenda.pushCandidate(&tempState);
}
}
pGenerator = m_Agenda.generatorNext(); // next generator
}
// push candidates
if (nBest == 1) {
// for (last_tag=0; last_tag<CTag::COUNT; ++last_tag) {
// if ( (uniqueMarkup&(1LL<<last_tag)) )
// m_Agenda.pushCandidate(&(uniqueItems[last_tag]));
// }
for (temp_index=0; temp_index<uniqueIndex; ++temp_index) {
m_Agenda.pushCandidate(&(uniqueItems[temp_index]));
}//for
}
}//tag
m_Agenda.nextRound(); // move round
if (m_bTrain) goldState.follow(m_goldState);
}
if ( m_bTrain && 1 ) {
pGenerator = m_Agenda.bestGenerator();
if ( *pGenerator != goldState ) {
TRACE("Training error at the last word");
updateScoreForState(&sentence, pGenerator, -1);
updateScoreForState(&sentence, &goldState, 1);
m_bTrainingError = true;
}
m_bTrainingError = false;
return;
}
TRACE("Outputing sentence");
vReturn->clear();
if (nBest == 1) {
generate( m_Agenda.bestGenerator() , &sentence , this , vReturn ) ;
if (out_scores) out_scores[ 0 ] = m_Agenda.bestGenerator( )->score ;
}
else {
m_Agenda.sortGenerators();
for ( temp_index = 0 ; temp_index < nBest ; ++ temp_index ) {
vReturn[ temp_index ].clear() ;
if (out_scores) out_scores[ temp_index ] = 0 ;
if ( temp_index < m_Agenda.generatorSize() ) {
generate( m_Agenda.generator( temp_index ) , &sentence , this , &(vReturn[ temp_index ]) ) ;
if (out_scores) out_scores[ temp_index ] = m_Agenda.bestGenerator( )->score ;
}
}
}
TRACE("Done, the highest score is: " << m_Agenda.bestGenerator()->score) ;
TRACE("The total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC) ;
}
void CTagger::tag( const CStringVector * sentence_input , CTwoStringVector * vReturn , SCORE_TYPE * out_scores , unsigned long nBest , const CBitArray * prunes ) {
clock_t total_start_time = clock();;
int index , start_index , generator_index , temp_index, word_length;
const CStateItem * generator_item ;
CStateItem *candidate_item , tempState , maxState ;
static CStateItem best_bigram[ 1<<CTag::SIZE ] ;
unsigned long long best_bigram_mask = 0; // and the count
unsigned long tag, last_tag ;
static CStringVector sentence;
static CRule rules(m_weights->m_bSegmentationRules);
rules.segment(sentence_input, &sentence);
const int length = sentence.size() ;
if (length>=m_nMaxSentSize)
THROW("the length of the sentence is bigger than the maximum sentence size "<<m_nMaxSentSize<<"; try changing the option");
assert(vReturn!=NULL);
TRACE("Initialising the tagging process...");
m_WordCache.clear() ;
m_Chart.clear() ;
// put an empty sentence to the beginning
tempState.clear() ;
m_Chart[ 0 ]->insertItem( &tempState ) ;
TRACE("Tagging started");
// enumerating the end index
// =========================
// index is the word index starting from 0
for ( index = 0 ; index < length ; ++ index ) {
// m_Chart index 1 correspond to the first char
m_Chart[ index + 1 ] ; // this is to make some necessary initialisation for each agenda, when pruning
// control for the ending character of the candidate
if ( index < length-1 && rules.canSeparate(index+1)==false )
continue ;
// enumerating the possible tags
// =============================
// the tag 0 is the NONE tag, and tag 1 is the BEGIN tag
for ( tag = CTag::FIRST ; tag <= CTag::LAST ; ++ tag ) {
start_index = index-1 ; // the end index of last word
word_length = 1 ; // current word length
// enumerating the start index
// ===========================
// the start index of the word is actually start_index + 1
while( start_index >= -1 && word_length <= m_weights->m_maxLengthByTag[ tag ] ) {
// control for the starting character of the candidate
// ---------------------------------------------------
while ( start_index >= 0 && rules.canSeparate(start_index+1)==false )
start_index-- ;
// start the search process
// ------------------------
// with pruning
if ( ( prunes==NULL || prunes->isset( ( start_index+1 ) * m_nMaxSentSize + index ) ) && // not pruned
( ( m_weights->m_mapWordFrequency.find( m_WordCache.find( start_index+1 , index , &sentence ) , 0 ) <
m_weights->m_nMaxWordFrequency/5000+5 &&
PENN_TAG_CLOSED[ tag ] == false ) ||
m_weights->m_mapTagDictionary.lookup( m_WordCache.find( start_index+1 , index , &sentence ), tag )
) // wordtag match
) {
if (nBest==1) best_bigram_mask=0LL;
for ( generator_index = 0 ; generator_index < m_Chart[ start_index+1 ]->size() ; ++ generator_index ) {
generator_item = m_Chart[ start_index+1 ]->item( generator_index ) ;
tempState.copy( generator_item ) ;
tempState.append( index , tag ) ;
tempState.score += getOrUpdateLocalScore( &sentence , &tempState , tempState.size()-1 ) ;
if (nBest==1) {
last_tag = tempState.size()>1 ? tempState.getTag(tempState.size()-2).code() : CTag::SENTENCE_BEGIN;
if ( ((best_bigram_mask&(1LL<<last_tag))==0LL) || best_bigram[last_tag].score < tempState.score ) {
best_bigram_mask|=(1LL<<last_tag);
best_bigram[last_tag].copy(&tempState);
}
}
else {
m_Chart[ index+1 ]->insertItem( &tempState );
}
}
if (nBest==1) {
for ( last_tag=0; last_tag<CTag::COUNT; ++last_tag ) {
if ( (best_bigram_mask&(1LL<<last_tag)) )
m_Chart[ index+1 ]->insertItem( &(best_bigram[last_tag]) );
}
}
}//if
// control the first character of the candidate
if ( rules.canAppend(start_index+1)==false )
break ;
// update start index and word len
--start_index ;
++word_length ;
}//start_index
}//tag
}//index
TRACE("Outputing sentence");
for ( temp_index = 0 ; temp_index < nBest ; ++ temp_index ) {
vReturn[ temp_index ].clear() ;
if (out_scores) out_scores[ temp_index ] = 0 ;
if ( temp_index < m_Chart[length]->size() ) {
generate( m_Chart[ length ]->bestItem( temp_index ) , &sentence , this , &(vReturn[ temp_index ]) ) ;
if (out_scores) out_scores[ temp_index ] = m_Chart[ length ]->bestItem( temp_index )->score ;
}
}
TRACE("Done, the highest score is: " << m_Chart[ length ]->bestItem( 0 )->score) ;
TRACE("The total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC) ;
}
bool work(CSegmentor *segmentor, const CStringVector &sentence, CStringVector *vReturn, double *out_scores, CRule &rules, std::vector<unsigned> *correct_starts, unsigned nBest, int round) {
static CStateItem lattice[(MAX_SENTENCE_SIZE+2)*BEAM_SIZE];
static CStateItem *lattice_index[MAX_SENTENCE_SIZE+2];
static const CStateItem *pGenerator, *pBestGen;
static const CStateItem *correct, *temp;
static int index, temp_index; // the index of the current char
static unsigned long int doneWordRnd[MAX_SENTENCE_SIZE]; // mask whether candidate with the last word has been cached
static unsigned long int doneWordLink[MAX_SENTENCE_SIZE]; // link to the corresponding cache state item from word_length + 1
static CScoredAct doneWordItems[BEAM_SIZE];
static int doneItemPointer;
static unsigned correct_word;
static bool correct_append;
static unsigned long word_length;
static bool bCompatible;
const int length = sentence.size();
static CAgendaSimple<CScoredAct> beam(BEAM_SIZE);
static CScoredAct action;
static const CStateItem *best[BEAM_SIZE];
static unsigned nBestGen;
//clock_t start_time = clock();
TRACE("Initialising the decoding process...");
segmentor->clearWordCache();
lattice[0].clear();
lattice_index[0] = lattice;
lattice_index[1] = lattice+1;
if (correct_starts) {
correct = lattice;
correct_word=0;
correct_append=false;
}
if (nBest == 1) // optimization for one best
memset(doneWordRnd, 0, MAX_SENTENCE_SIZE*sizeof(doneWordRnd[0]));
TRACE("Decoding started");
// index is character index and lattice index shifts 1 right
for (index=0; index<length; ++index) {
lattice_index[index+2] = lattice_index[index+1];
// generate new state itmes for each character
beam.clear();
doneItemPointer = 0;
for (pGenerator=lattice_index[index]; pGenerator!=lattice_index[index+1]; ++pGenerator) { // for each generator
// 1. generate new items according to each previous item.
if ( rules.canSeparate( index ) ) {
action.load(pGenerator, false, getOrUpdateSeparateScore(segmentor, &sentence, pGenerator));
if ( nBest == 1 ) {
word_length = pGenerator->getWordLength();
if ( doneWordRnd[word_length] < index+1 ) {
doneWordLink[word_length] = doneItemPointer; // doneWordLink[i] caches the last word with length i+1
doneWordItems[doneItemPointer]=action; // copy item to cache.
++doneItemPointer;
doneWordRnd[word_length] = index+1;
}
else {
assert(doneWordRnd[word_length] == index+1);
if ( action > doneWordItems[doneWordLink[word_length]] )
doneWordItems[doneWordLink[word_length]]=action;
}
}
else {
beam.insertItem(&action);
}
}
// 2. generate by replacing items
if ( index > 0 && rules.canAppend(index) ) {
action.load(pGenerator, true, getOrUpdateAppendScore(segmentor, &sentence, pGenerator, index-1));
beam.insertItem(&action);
}
}
// 3. recollect the items for separate
if (nBest == 1) {
for (temp_index = 0; temp_index<doneItemPointer; ++temp_index) {
beam.insertItem(&doneWordItems[temp_index]);
}
}
// build new items in decode
if (correct_starts) {
bCompatible = false;
if (index==correct_starts->at(correct_word)) {
correct_append = false;
++correct_word;
}
else {
assert(correct_word==correct_starts->size()||index<correct_starts->at(correct_word));
correct_append = true;
}
pBestGen = 0;
}
for (temp_index=0; temp_index<beam.size(); ++temp_index) {
pGenerator = beam.item(temp_index)->item;
if (beam.item(temp_index)->append)
pGenerator->append(lattice_index[index+2]);
else
pGenerator->separate(lattice_index[index+2]);
lattice_index[index+2]->score = beam.item(temp_index)->score;
if (correct_starts) {
if (pBestGen==0 || lattice_index[index+2]->score > pBestGen->score)
pBestGen = lattice_index[index+2];
if (correct == pGenerator && correct_append == beam.item(temp_index)->append) {
bCompatible = true;
correct = lattice_index[index+2];
}
}
++lattice_index[index+2];
}
// update scores if none from the agenda is correct state.
if (correct_starts && !bCompatible) {
TRACE("Decoding error, updating the weight std::vector");
if (correct_append)
correct->append(lattice_index[index+2]);
else
correct->separate(lattice_index[index+2]);
updateScoreVectorForStates(segmentor, &sentence, pBestGen, lattice_index[index+2], round);
return false;
}
}
// a final step adding the last separate score for items.
beam.clear();
for (pGenerator=lattice_index[length]; pGenerator!=lattice_index[length+1]; ++pGenerator) {
action.load(pGenerator, false, getOrUpdateSeparateScore(segmentor, &sentence, pGenerator));
beam.insertItem(&action);
}
beam.sortItems(); // sort final items
nBestGen = beam.size();
for (temp_index=0; temp_index<nBestGen; ++temp_index) {
best[temp_index] = beam.item(temp_index)->item;
}
if (correct_starts) {
assert(bCompatible);
if (correct!=best[0]) {
TRACE("Decoding error, updating the weight std::vector");
updateScoreVectorForStates(segmentor, &sentence, best[0], correct, round);
return false;
}
}
TRACE("Decoding finished");
// now generate outout sentence
// n-best list will be stored in array
if (!correct_starts){
TRACE("Outputing sentence");
for ( index=0; index<std::min(nBest, nBestGen); ++index ) {
// clear
vReturn[index].clear();
if ( out_scores ) out_scores[index] = 0;
// assign retval
static unsigned count;
static unsigned start;
count = 0;
temp = best[index];
while (!temp->empty()) {
++count;
temp = temp->prev();
}
vReturn[index].resize(count);
--count;
temp = best[index];
while (!temp->empty()) {
for (temp_index=temp->getWordStart(); temp_index<=temp->getWordEnd(); ++temp_index) {
vReturn[index].at(count) += sentence.at(temp_index);
}
--count;
temp = temp->prev();
}
if ( out_scores!=NULL )
out_scores[index] = best[index]->score;
}
}
return true;
}
