void CConParser::getPositiveFeatures( const CSentenceParsed &correct ) {
static CTwoStringVector sentence;
static CStateItem states[MAX_SENTENCE_SIZE*(1+UNARY_MOVES)+2];
static CPackedScoreType<SCORE_TYPE, CAction::MAX> scores;
static int current;
static CAction action;
states[0].clear();
current = 0;
UnparseSentence( &correct, &sentence ) ;
m_lCache.clear();
m_lWordLen.clear();
for (unsigned i=0; i<sentence.size(); ++i) {
m_lCache.push_back( CTaggedWord<CTag, TAG_SEPARATOR>(sentence[i].first , sentence[i].second) );
m_lWordLen.push_back( getUTF8StringLength(sentence[i].first) );
}
while ( !states[current].IsTerminated() ) {
states[current].StandardMove(correct, action);
//std::cout << action << std::endl;
m_Context.load(states+current, m_lCache, m_lWordLen, true);
getOrUpdateStackScore(static_cast<CWeight*>(m_weights), scores, states+current, action, 1, -1);
states[current].Move(states+current+1, action);
++current;
}
}
void CConParser::work(const CTwoStringVector &sentence, const CSentenceParsed &correct, CCoNLLOutput *o_conll){
const int length = sentence.size();
static int tmp_i,tmp_j;
static CAction correct_action;
m_lCache.clear();
m_lWordLen.clear();
for (tmp_i=0; tmp_i<length; tmp_i++ ) {
m_lCache.push_back( CTaggedWord<CTag, TAG_SEPARATOR>(sentence[tmp_i].first , sentence[tmp_i].second) );
m_lWordLen.push_back( getUTF8StringLength(sentence[tmp_i].first) );
}
std::vector<CStateItem> p(MAX_SENTENCE_SIZE*(2+UNARY_MOVES)+2);
CStateItem *correctState = &p[0];
//getLabeledBrackets(correct, correctState->gold_lb);
correctState->clear();
correctState->words = (&m_lCache);
tmp_i = 1;
while(true){
correctState->StandardMove(correct, correct_action);
//std::cerr<<correct_action<<std::endl;
correctState->Move(&p[tmp_i],correct_action);
correctState = &p[tmp_i];
tmp_i ++;
if (correctState == 0 || correctState->IsTerminated()) break; // while
}
correctState->GenerateStanford(sentence, o_conll);
p.clear();
}
bool TARGET_LANGUAGE::CTagger::train( const CTwoStringVector * correct ) {
static int i;
static CTwoStringVector tagged;
static CStringVector sentence;
UntagSentence( correct, &sentence );
++m_nTrainingRound;
updateTagDict(correct);
tag( &sentence , &tagged , 1 , NULL );
if ( tagged != *correct ) {
for (i=0; i<tagged.size(); ++i)
updateLocalFeatureVector(eSubtract, &tagged, i, m_nTrainingRound);
for (i=0; i<correct->size(); ++i)
updateLocalFeatureVector(eAdd, correct, i, m_nTrainingRound);
m_bScoreModified = true;
return true;
}
return false;
}
bool TARGET_LANGUAGE::CTagger::train( const CTwoStringVector * correct ) {
static int i;
static CTwoStringVector tagged;
static CStringVector sentence;
static bool bDicOOV;
static unsigned long long possible_tags; // possible tags for a word
static unsigned long long current_tag;
UntagSentence( correct, &sentence );
++m_nTrainingRound;
m_CacheTags.clear();
for (i=0; i<correct->size(); ++i)
m_CacheTags.push_back(CTag(correct->at(i).second).code());
tag( &sentence , &tagged , 1 , NULL );
if ( tagged != *correct ) {
for (i=0; i<tagged.size(); ++i) {
bDicOOV = false;
if (m_TagDict) {
possible_tags = getPossibleTagsForWord(correct->at(i).first);
current_tag = (1LL<<CTag(correct->at(i).second).code()) ;
if ( ( possible_tags & current_tag ) == 0 ) {
WARNING("dictionary does not have the example word " << correct->at(i).first << " with tag " << correct->at(i).second);
bDicOOV = true;
}
}
// if (!bDicOOV) {
updateLocalFeatureVector(eSubtract, &tagged, i, m_nTrainingRound);
updateLocalFeatureVector(eAdd, correct, i, m_nTrainingRound);
m_bScoreModified = true;
// }
}
return true;
}
return false;
}
void CDepParser::work( const bool bTrain , const CTwoStringVector &sentence , CDependencyParse *retval , const CDependencyParse &correct , int nBest , SCORE_TYPE *scores ) {
#ifdef DEBUG
clock_t total_start_time = clock();
#endif
static int index;
const int length = sentence.size() ;
const CStateItem *pGenerator ;
static CStateItem pCandidate(&m_lCache) ;
// used only for training
static bool bCorrect ; // used in learning for early update
static bool bContradictsRules;
static CStateItem correctState(&m_lCache) ;
static CPackedScoreType<SCORE_TYPE, action::MAX> packed_scores;
ASSERT(length<MAX_SENTENCE_SIZE, "The size of the sentence is larger than the system configuration.");
TRACE("Initialising the decoding process...") ;
// initialise word cache
bContradictsRules = false;
m_lCache.clear();
for ( index=0; index<length; ++index ) {
m_lCache.push_back( CTaggedWord<CTag, TAG_SEPARATOR>(sentence[index].first , sentence[index].second) );
// filter std::cout training examples with rules
if (bTrain && m_weights->rules()) {
// the root
if ( correct[index].head == DEPENDENCY_LINK_NO_HEAD && canBeRoot(m_lCache[index].tag.code())==false) {
TRACE("Rule contradiction: " << m_lCache[index].tag.code() << " can be root.");
bContradictsRules = true;
}
// head left
if ( correct[index].head < index && hasLeftHead(m_lCache[index].tag.code())==false) {
TRACE("Rule contradiction: " << m_lCache[index].tag.code() << " has left head.");
bContradictsRules = true;
}
// head right
if ( correct[index].head > index && hasRightHead(m_lCache[index].tag.code())==false) {
TRACE("Rule contradiction: " << m_lCache[index].tag.code() << " has right head.");
bContradictsRules = true;
}
}
}
// initialise agenda
m_Agenda->clear();
pCandidate.clear(); // restore state using clean
m_Agenda->pushCandidate(&pCandidate); // and push it back
m_Agenda->nextRound(); // as the generator item
if (bTrain) correctState.clear();
// verifying supertags
if (m_supertags) {
ASSERT(m_supertags->getSentenceSize()==length, "Sentence size does not match supertags size");
}
#ifdef LABELED
unsigned long label;
m_lCacheLabel.clear();
if (bTrain) {
for (index=0; index<length; ++index) {
m_lCacheLabel.push_back(CDependencyLabel(correct[index].label));
if (m_weights->rules() && !canAssignLabel(m_lCache, correct[index].head, index, m_lCacheLabel[index])) {
TRACE("Rule contradiction: " << correct[index].label << " on link head " << m_lCache[correct[index].head].tag.code() << " dep " << m_lCache[index].tag.code());
bContradictsRules = true;
}
}
}
#endif
// skip the training example if contradicts
if (bTrain && m_weights->rules() && bContradictsRules) {
std::cout << "Skipping training example because it contradicts rules..." <<std::endl;
return;
}
TRACE("Decoding started");
// loop with the next word to process in the sentence
for (index=0; index<length*2; ++index) {
if (bTrain) bCorrect = false ;
// none can this find with pruning ???
if (m_Agenda->generatorSize() == 0) {
WARNING("parsing failed");
return;
}
pGenerator = m_Agenda->generatorStart();
// iterate generators
for (int j=0; j<m_Agenda->generatorSize(); ++j) {
// for the state items that already contain all words
m_Beam->clear();
packed_scores.reset();
getOrUpdateStackScore( pGenerator, packed_scores, action::NO_ACTION );
if ( pGenerator->size() == length ) {
assert( pGenerator->stacksize() != 0 );
if ( pGenerator->stacksize()>1 ) {
#ifdef FRAGMENTED_TREE
if (pGenerator->head(pGenerator->stacktop()) == DEPENDENCY_LINK_NO_HEAD)
poproot(pGenerator, packed_scores);
else
#endif
reduce(pGenerator, packed_scores) ;
}
else {
poproot(pGenerator, packed_scores);
}
}
// for the state items that still need more words
else {
if ( !pGenerator->afterreduce() ) { // there are many ways when there are many arcrighted items on the stack and the root need arcleft. force this.
if (
#ifndef FRAGMENTED_TREE
( pGenerator->size() < length-1 || pGenerator->stackempty() ) && // keep only one global root
#endif
( pGenerator->stackempty() || m_supertags == 0 || m_supertags->canShift( pGenerator->size() ) ) && // supertags
( pGenerator->stackempty() || !m_weights->rules() || canBeRoot( m_lCache[pGenerator->size()].tag.code() ) || hasRightHead(m_lCache[pGenerator->size()].tag.code()) ) // rules
) {
shift(pGenerator, packed_scores) ;
}
}
if ( !pGenerator->stackempty() ) {
if (
#ifndef FRAGMENTED_TREE
( pGenerator->size() < length-1 || pGenerator->headstacksize() == 1 ) && // one root
#endif
( m_supertags == 0 || m_supertags->canArcRight(pGenerator->stacktop(), pGenerator->size()) ) && // supertags conform to this action
( !m_weights->rules() || hasLeftHead(m_lCache[pGenerator->size()].tag.code()) ) // rules
) {
arcright(pGenerator, packed_scores) ;
}
}
if ( (!m_bCoNLL && !pGenerator->stackempty()) ||
(m_bCoNLL && pGenerator->stacksize()>1) // make sure that for conll the first item is not popped
) {
if ( pGenerator->head( pGenerator->stacktop() ) != DEPENDENCY_LINK_NO_HEAD ) {
reduce(pGenerator, packed_scores) ;
}
else {
if ( (m_supertags == 0 || m_supertags->canArcLeft(pGenerator->size(), pGenerator->stacktop())) && // supertags
(!m_weights->rules() || hasRightHead(m_lCache[pGenerator->stacktop()].tag.code())) // rules
) {
arcleft(pGenerator, packed_scores) ;
}
}
}
}
// insert item
for (unsigned i=0; i<m_Beam->size(); ++i) {
pCandidate = *pGenerator;
pCandidate.score = m_Beam->item(i)->score;
pCandidate.Move( m_Beam->item(i)->action );
m_Agenda->pushCandidate(&pCandidate);
}
if (bTrain && *pGenerator == correctState) {
bCorrect = true ;
}
pGenerator = m_Agenda->generatorNext() ;
}
// when we are doing training, we need to consider the standard move and update
if (bTrain) {
#ifdef EARLY_UPDATE
if (!bCorrect) {
TRACE("Error at the "<<correctState.size()<<"th word; total is "<<correct.size())
updateScoresForStates(m_Agenda->bestGenerator(), &correctState, 1, -1) ;
#ifndef LOCAL_LEARNING
return ;
#else
m_Agenda->clearCandidates();
m_Agenda->pushCandidate(&correctState);
#endif
}
#endif
if (bCorrect) {
#ifdef LABELED
correctState.StandardMoveStep(correct, m_lCacheLabel);
#else
correctState.StandardMoveStep(correct);
#endif
}
#ifdef LOCAL_LEARNING
++m_nTrainingRound; // each training round is one transition-action
#endif
}
m_Agenda->nextRound(); // move round
}
if (bTrain) {
correctState.StandardFinish(); // pop the root that is left
// then make sure that the correct item is stack top finally
if ( *(m_Agenda->bestGenerator()) != correctState ) {
TRACE("The best item is not the correct one")
updateScoresForStates(m_Agenda->bestGenerator(), &correctState, 1, -1) ;
return ;
}
}
TRACE("Outputing sentence");
m_Agenda->sortGenerators();
for (int i=0; i<std::min(m_Agenda->generatorSize(), nBest); ++i) {
pGenerator = m_Agenda->generator(i) ;
if (pGenerator) {
pGenerator->GenerateTree( sentence , retval[i] ) ;
if (scores) scores[i] = pGenerator->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 CConParser::work( const bool bTrain , const CTwoStringVector &sentence , CSentenceParsed *retval , const CSentenceParsed &correct , int nBest , SCORE_TYPE *scores ) {
static CStateItem lattice[(MAX_SENTENCE_SIZE*(2+UNARY_MOVES)+2)*(AGENDA_SIZE+1)+1000000];
static CStateItem *lattice_index[MAX_SENTENCE_SIZE*(2+UNARY_MOVES)+2+1000000];
#ifdef DEBUG
clock_t total_start_time = clock();
#endif
const int length = sentence.size() ;
const static CStateItem *pGenerator ;
const static CStateItem *pBestGen;
const static CStateItem *correctState ;
static bool bCorrect ; // used in learning for early update
static int tmp_i, tmp_j;
static CAction correct_action;
static CScoredStateAction scored_correct_action;
static bool correct_action_scored;
static std::vector<CAction> actions; // actions to apply for a candidate
static CAgendaSimple<CScoredStateAction> beam(AGENDA_SIZE);
static CScoredStateAction scored_action; // used rank actions
ASSERT(nBest=1, "currently only do 1 best parse");
static unsigned index;
static bool bSkipLast;
#ifdef SCALE
bool bAllTerminated;
#endif
static CPackedScoreType<SCORE_TYPE, CAction::MAX> packedscores;
assert(length<MAX_SENTENCE_SIZE);
TRACE("Initialising the decoding process ... ") ;
// initialise word cache
m_lCache.clear();
m_lWordLen.clear();
for ( tmp_i=0; tmp_i<length; tmp_i++ ) {
if(sentence[tmp_i].first != "-NONE-")
{
m_lCache.push_back( CTaggedWord<CTag, TAG_SEPARATOR>(sentence[tmp_i].first , sentence[tmp_i].second) );
m_lWordLen.push_back( getUTF8StringLength(sentence[tmp_i].first) );
}
}
// initialise agenda
lattice_index[0] = lattice;
lattice_index[0]->clear();
lattice_index[0]->m_lCache = &m_lCache;
lattice_index[0]->m_lEmptyWords = m_lEmptyWords;
#ifdef TRAIN_LOSS
lattice_index[0]->bTrain = m_bTrain;
getLabeledBrackets(correct, lattice_index[0]->gold_lb);
TRACE(lattice_index[0]->gold_lb << std::endl);
#endif
#ifndef EARLY_UPDATE
if (bTrain) bSkipLast = false;
#endif
lattice_index[1] = lattice+1;
if (bTrain) {
correctState = lattice_index[0];
}
index=0;
TRACE("Decoding start ... ") ;
while (true) { // for each step
++index;
lattice_index[index+1] = lattice_index[index];
beam.clear();
pBestGen = 0;
if (bTrain) {
bCorrect = false;
correctState->StandardMove(correct, correct_action);
correct_action_scored = false;
}
for (pGenerator=lattice_index[index-1]; pGenerator!=lattice_index[index]; ++pGenerator) { // for each generator
#ifndef EARLY_UPDATE
if (bTrain && bSkipLast && pGenerator == lattice_index[index]-1) {
getOrUpdateStackScore(static_cast<CWeight*>(m_weights), packedscores, pGenerator);
scored_correct_action.load(correct_action, pGenerator, packedscores[correct_action.code()]);
correct_action_scored = true;
break;
}
#endif
// load context
m_Context.load(pGenerator, m_lCache, m_lWordLen, false);
// get actions
m_rule.getActions(*pGenerator, actions);
if (actions.size() > 0)
getOrUpdateStackScore(static_cast<CWeight*>(m_weights), packedscores, pGenerator);
for (tmp_j=0; tmp_j<actions.size(); ++tmp_j) {
scored_action.load(actions[tmp_j], pGenerator, packedscores[actions[tmp_j].code()]);
beam.insertItem(&scored_action);
if (bTrain && pGenerator == correctState && actions[tmp_j] == correct_action) {
scored_correct_action = scored_action;
correct_action_scored = true;
}
}
} // done iterating generator item
#ifdef SCALE
bAllTerminated = true;
#endif
// insertItems
for (tmp_j=0; tmp_j<beam.size(); ++tmp_j) { // insert from
pGenerator = beam.item(tmp_j)->item;
pGenerator->Move(lattice_index[index+1], beam.item(tmp_j)->action);
lattice_index[index+1]->score = beam.item(tmp_j)->score;
#ifdef SCALE
if ( ! lattice_index[index+1]->IsTerminated() )
bAllTerminated = false;
#endif
if ( pBestGen == 0 || lattice_index[index+1]->score > pBestGen->score ) {
pBestGen = lattice_index[index+1];
}
// update bestgen
if (bTrain) {
if ( pGenerator == correctState && beam.item(tmp_j)->action == correct_action ) {
correctState = lattice_index[index+1];
assert (correctState->unaryreduces()<=UNARY_MOVES) ;
bCorrect = true;
}
}
++lattice_index[index+1];
}
#ifdef SCALE
if (bAllTerminated)
break; // while
#else
if (pBestGen->IsTerminated())
break; // while
#endif
// update items if correct item jump out of the agenda
if (bTrain) {
if (!bCorrect ) {
// note that if bCorrect == true then the correct state has
// already been updated, and the new value is one of the new states
// among the newly produced from lattice[index+1].
correctState->Move(lattice_index[index+1], correct_action);
correctState = lattice_index[index+1];
lattice_index[index+1]->score = scored_correct_action.score;
++lattice_index[index+1];
assert(correct_action_scored); // scored_correct_act valid
#ifdef EARLY_UPDATE
// if (!bCorrect ) {
TRACE("Error at the "<<correctState->current_word<<"th word; total is "<<m_lCache.size())
// update
#ifdef TRAIN_MULTI
updateScoresForMultipleStates(lattice_index[index], lattice_index[index+1], candidate_outout, correctState) ;
#else
// trace
correctState->trace(&sentence);
pBestGen->trace(&sentence);
// updateScoresByLoss(pBestGen, correctState) ;
updateScoresForStates(pBestGen, correctState) ;
#endif // TRAIN_MULTI
return ;
// } // bCorrect
#else // EARLY UDPATE
bSkipLast = true;
#endif
} // bCorrect
} // bTrain
} // while
if (bTrain) {
// make sure that the correct item is stack top finally
if ( pBestGen != correctState ) {
if (!bCorrect) {
correctState->Move(lattice_index[index+1], correct_action);
correctState = lattice_index[index+1];
lattice_index[index+1]->score = scored_correct_action.score;
assert(correct_action_scored); // scored_correct_act valid
}
TRACE("The best item is not the correct one")
#ifdef TRAIN_MULTI
updateScoresForMultipleStates(lattice_index[index], lattice_index[index+1], pBestGen, correctState) ;
#else // TRAIN_MULTI
correctState->trace(&sentence);
pBestGen->trace(&sentence);
// updateScoresByLoss(pBestGen, correctState) ;
updateScoresForStates(pBestGen, correctState) ;
#endif // TRAIN_MULTI
return ;
}
else {
TRACE("correct");
correctState->trace(&sentence);
pBestGen->trace(&sentence);
}
}
if (!retval)
return;
TRACE("Outputing sentence");
pBestGen->GenerateTree( sentence, retval[0] );
if (scores) scores[0] = pBestGen->score;
TRACE("Done, the highest score is: " << pBestGen->score ) ;
TRACE("The total time spent: " << double(clock() - total_start_time)/CLOCKS_PER_SEC) ;
}
int
CDepParser::work(const bool is_train,
const CTwoStringVector & sentence,
CDependencyParse * retval0, CDependencyParse * retval1,
const CDependencyParse & oracle_tree0, const CDependencyParse & oracle_tree1,
int nbest,
SCORE_TYPE *scores) {
#ifdef DEBUG
clock_t total_start_time = clock();
#endif
const int length = sentence.size();
const int max_round = length * 4 + 1;
const int max_lattice_size = (kAgendaSize + 1) * max_round;
ASSERT(length < MAX_SENTENCE_SIZE,
"The size of sentence is too long.");
CStateItem * lattice = GetLattice(max_lattice_size);
CStateItem * lattice_wrapper[max_lattice_size];
CStateItem ** lattice_index[max_round];
CStateItem * correct_state = lattice;
for (int i = 0; i < max_lattice_size; ++ i) {
lattice_wrapper[i] = lattice + i;
lattice[i].len_ = length;
}
lattice[0].clear();
correct_state = lattice;
lattice_index[0] = lattice_wrapper;
lattice_index[1] = lattice_index[0] + 1;
static CPackedScoreType<SCORE_TYPE, action::kMax> packed_scores;
TRACE("Initialising the decoding process ...");
m_lCache.clear();
for (int i = 0; i < length; ++ i) {
m_lCache.push_back(CTaggedWord<CTag, TAG_SEPARATOR>(sentence[i].first,
sentence[i].second));
#ifdef LABELED
if (is_train) {
if (i == 0) { m_lCacheLabel0.clear(); m_lCacheLabel1.clear(); }
m_lCacheLabel0.push_back(CDependencyLabel(oracle_tree0[i].label));
m_lCacheLabel1.push_back(CDependencyLabel(oracle_tree1[i].label));
}
#endif
}
int num_results = 0;
int round = 0;
bool is_correct; // used for training to specify correct state in lattice
// loop with the next word to process in the sentence,
// `round` represent the generators, and the condidates should be inserted
// into the `round + 1`
for (round = 1; round < max_round; ++ round) {
if (lattice_index[round - 1] == lattice_index[round]) {
// there is nothing in generators, the proning has cut all legel
// generator. actually, in this kind of case, we should raise a
// exception. however to achieve a parsing tree, an alternative
// solution is go back to the previous round
WARNING("Parsing Failed!");
-- round;
break;
}
int current_beam_size = 0;
// loop over the generator states
// std::cout << "round : " << round << std::endl;
for (CStateItem ** q = lattice_index[round - 1];
q != lattice_index[round];
++ q) {
const CStateItem * generator = (*q);
m_Beam->clear(); packed_scores.reset();
GetOrUpdateStackScore(generator, packed_scores, action::kNoAction);
Transit(generator, packed_scores);
for (unsigned i = 0; i < m_Beam->size(); ++ i) {
CStateItem candidate; candidate = (*generator);
// generate candidate state according to the states in beam
int curIndex = candidate.nextactionindex();
candidate.Move(curIndex, m_Beam->item(i)->action);
candidate.score = m_Beam->item(i)->score;
candidate.previous_ = generator;
current_beam_size += InsertIntoBeam(lattice_index[round],
&candidate,
current_beam_size,
kAgendaSize);
}
}
lattice_index[round + 1] = lattice_index[round] + current_beam_size;
if (is_train) {
CStateItem next_correct_state(*correct_state);
unsigned goldaction = next_correct_state.StandardMoveStep(oracle_tree0, oracle_tree1
#ifdef LABELED
, m_lCacheLabel0, m_lCacheLabel1
#endif // end for LABELED
);
//std::cout << *correct_state << std::endl;
//std::cout << goldaction << std::endl;
next_correct_state.previous_ = correct_state;
is_correct = false;
for (CStateItem ** q = lattice_index[round];
q != lattice_index[round + 1];
++ q) {
CStateItem * p = *q;
if (next_correct_state.last_action_index == p->last_action_index
&& next_correct_state.last_action[next_correct_state.last_action_index] == p->last_action[p->last_action_index]
&& p->previous_ == correct_state) {
correct_state = p;
is_correct = true;
break;
}
}
//std::cout << *correct_state << std::endl;
//std::cout << goldaction << std::endl;
#ifdef EARLY_UPDATE
if (!is_correct || round == max_round-1) {
int curIndex = next_correct_state.nextactionindex();
TRACE("ERROR at the " << next_correct_state.size() << "th word for schema " << curIndex);
if(curIndex == 0)
{
TRACE(" Total is " << oracle_tree0.size());
}
else
{
TRACE(" Total is " << oracle_tree1.size());
}
CStateItem * best_generator = (*lattice_index[round]);
for (CStateItem ** q = lattice_index[round];
q != lattice_index[round + 1];
++ q) {
CStateItem * p = (*q);
if (best_generator->score < p->score) {
best_generator = p;
}
}
UpdateScoresForStates(best_generator, &next_correct_state, 1, -1);
return -1;
}
#endif // end for EARLY_UPDATE
}
}
// if (is_train) {
// CStateItem * best_generator = (*lattice_index[round-1]);
// for (CStateItem ** q = lattice_index[round-1]; q != lattice_index[round]; ++ q) {
// CStateItem * p = (*q);
// if (best_generator->score < p->score) {
// best_generator = p;
// }
// }
// if (best_generator != correct_state) {
// UpdateScoresForStates(best_generator, correct_state, 1, -1);
// }
// return -1;
// }
//delete[] sequence_correct_state;
/*
if (is_train) {
//correct_state->StandardFinish(); // pop the root that is left
// then make sure that the correct item is stack top finally
CStateItem * best_generator = (*lattice_index[round-1]);
for (CStateItem ** q = lattice_index[round-1];
q != lattice_index[round ];
++ q) {
CStateItem * p = (*q);
if (best_generator->score < p->score) {
best_generator = p;
}
}
{
//TRACE("The best item is not the correct one")
UpdateScoresForStates(best_generator, correct_state, 1, -1) ;
}
}
*/
if (!retval0 || !retval1) {
return -1;
}
TRACE("Output sentence");
std::sort(lattice_index[round - 1], lattice_index[round], StateHeapMore);
num_results = lattice_index[round] - lattice_index[round - 1];
for (int i = 0; i < std::min(num_results, nbest); ++ i) {
assert( (*(lattice_index[round - 1] + i))->size() == m_lCache.size());
(*(lattice_index[round - 1] + i))->GenerateTree(sentence, retval0[i], retval1[i]);
if (scores) { scores[i] = (*(lattice_index[round - 1] + i))->score; }
}
TRACE("Done, total time spent: " << double(clock() - total_start_time) / CLOCKS_PER_SEC);
return num_results;
}
/*---------------------------------------------------------------
*
* work - the working process shared by training and parsing
*
* Returns: makes a new instance of CDependencyParse
*
*--------------------------------------------------------------*/
int
CDepParser::work(const bool is_train,
const CTwoStringVector & sentence,
CDependencyParse * retval,
const CDependencyParse & oracle_tree,
int nbest,
SCORE_TYPE *scores) {
#ifdef DEBUG
clock_t total_start_time = clock();
#endif
const int length = sentence.size();
const int max_round = length * 2 + 1;
const int max_lattice_size = (kAgendaSize + 1) * max_round;
ASSERT(length < MAX_SENTENCE_SIZE,
"The size of sentence is too long.");
CStateItem * lattice = GetLattice(max_lattice_size);
CStateItem * lattice_index[max_round];
CStateItem * correct_state = lattice;
for (int i = 0; i < max_lattice_size; ++ i) {
lattice[i].len_ = length;
}
lattice[0].clear();
correct_state = lattice;
lattice_index[0] = lattice;
lattice_index[1] = lattice_index[0] + 1;
static CPackedScore packed_scores;
TRACE("Initialising the decoding process ...");
m_lCache.clear();
for (int i = 0; i < length; ++ i) {
m_lCache.push_back(CTaggedWord<CTag, TAG_SEPARATOR>(sentence[i].first,
sentence[i].second));
#ifdef LABELED
if (is_train) {
if (i == 0) {
m_lCacheLabel.clear();
}
m_lCacheLabel.push_back(CDependencyLabel(oracle_tree[i].label));
}
#endif
}
int num_results = 0;
int round = 0;
bool is_correct; // used for training to specify correct state in lattice
// loop with the next word to process in the sentence, 'round' represent the
// generators, and the condidates should be inserted into the 'round + 1'
for (round = 1; round < max_round; ++ round) {
if (lattice_index[round - 1] == lattice_index[round]) {
// There is nothing in generators, the proning has cut all legel
// generator. Actually, in this kind of case, we should raise a
// exception. However to achieve a parsing tree, an alternative
// solution is go back to the previous round
WARNING("Parsing Failed!");
-- round;
break;
}
current_beam_size_ = 0;
// loop over the generator states
// std::cout << "round : " << round << std::endl;
for (CStateItem * q = lattice_index[round - 1]; q != lattice_index[round];
++ q) {
const CStateItem * generator = q;
packed_scores.reset();
GetOrUpdateStackScore(generator, packed_scores, action::kNoAction);
Transit(generator, packed_scores);
}
for (unsigned i = 0; i < current_beam_size_; ++ i) {
const CScoredTransition& transition = m_kBestTransitions[i];
CStateItem* target = lattice_index[round]+ i;
(*target) = (*transition.source);
// generate candidate state according to the states in beam
target->Move(transition.action);
target->score = transition.score;
target->previous_ = transition.source;
}
lattice_index[round + 1] = lattice_index[round] + current_beam_size_;
if (is_train) {
CStateItem next_correct_state(*correct_state);
next_correct_state.StandardMoveStep(oracle_tree
#ifdef LABELED
, m_lCacheLabel
#endif // end for LABELED
);
next_correct_state.previous_ = correct_state;
is_correct = false;
for (CStateItem *p = lattice_index[round]; p != lattice_index[round + 1];
++ p) {
if (next_correct_state.last_action == p->last_action
&& p->previous_ == correct_state) {
correct_state = p;
is_correct = true;
break;
}
}
#ifdef EARLY_UPDATE
if (!is_correct) {
TRACE("ERROR at the " << next_correct_state.size() << "th word;"
<< " Total is " << oracle_tree.size());
CStateItem * best_generator = lattice_index[round];
for (CStateItem * p = lattice_index[round]; p != lattice_index[round + 1];
++ p) {
if (best_generator->score < p->score) {
best_generator = p;
}
}
UpdateScoresForStates(best_generator, &next_correct_state, 1, -1);
return -1;
}
#endif // end for EARLY_UPDATE
}
}
if (is_train) {
CStateItem * best_generator = lattice_index[round-1];
for (CStateItem * p = lattice_index[round-1]; p != lattice_index[round]; ++ p) {
if (best_generator->score < p->score) {
best_generator = p;
}
}
if (best_generator != correct_state) {
UpdateScoresForStates(best_generator, correct_state, 1, -1);
}
return -1;
}
if (!retval) {
return -1;
}
TRACE("Output sentence");
std::sort(lattice_index[round - 1], lattice_index[round], StateMore);
num_results = lattice_index[round] - lattice_index[round - 1];
for (int i = 0; i < std::min(num_results, nbest); ++ i) {
assert( (lattice_index[round - 1] + i)->size() == m_lCache.size());
(lattice_index[round - 1] + i)->GenerateTree(sentence, retval[i]);
if (scores) {
scores[i] = (lattice_index[round - 1] + i)->score;
}
}
TRACE("Done, total time spent: " << double(clock() - total_start_time) / CLOCKS_PER_SEC);
return num_results;
}
