Dictionary<vector<FeatVal> > * KyteaModel::makeDictionaryFromPrefixes(const vector<KyteaString> & prefs, StringUtil* util, bool adjustPos) {
typedef Dictionary<vector<FeatVal> >::WordMap WordMap;
WordMap wm;
int pos;
for(int i = 0; i < (int)names_.size(); i++) {
const KyteaString & str = names_[i];
for(pos = 0; pos < (int)prefs.size() && !str.beginsWith(prefs[pos]); pos++);
if(pos != (int)prefs.size()) {
featuresAdded_++;
KyteaString name = str.substr(prefs[pos].length());
WordMap::iterator it = wm.find(name);
if(it == wm.end()) {
pair<WordMap::iterator, bool> p = wm.insert(WordMap::value_type(name,new vector<FeatVal>(prefs.size()*numW_)));
it = p.first;
}
// If this is an n-gram dictionary, adjust the position according to
// n-gram length, otherwise just use the location of th eprefix
int id = (adjustPos ?
(prefs.size()-pos-name.length())*numW_ :
pos*numW_
);
for(int j = 0; j < numW_; j++) {
// cerr << "adding for "<<util->showString(str)<<" @ "<<util->showString(name) << " ["<<id<<"]"<<"/"<<(*it->second).size()<<" == "<<getWeight(i,j)<<"/"<<weights_.size()<< " == " <<getWeight(i-1,j) * labels_[0]<<endl;
(*it->second)[id+j] = getWeight(i-1,j) * labels_[0];
}
}
}
if(wm.size() > 0) {
Dictionary<vector<FeatVal> > * ret = new Dictionary<vector<FeatVal> >(util);
ret->buildIndex(wm);
return ret;
}
return NULL;
}
// Look up values
void FeatureLookup::addTagNgrams(const KyteaString & chars,
const Dictionary<FeatVec> * dict,
vector<FeatSum> & scores,
int window, int startChar, int endChar) {
if(!dict) return;
// Create a substring that exactly covers the window that we are interested
// in of up to -window characters before, and +window characters after
int myStart = max(startChar-window,0);
int myEnd = min(endChar+window,(int)chars.length());
// cerr << "startChar=="<<startChar<<", endChar=="<<endChar<<", myStart=="<<myStart<<", myEnd=="<<myEnd<<endl;
KyteaString str =
chars.substr(myStart, startChar-myStart) +
chars.substr(endChar, myEnd-endChar);
// Match the features in this substring
Dictionary<FeatVec>::MatchResult res = dict->match(str);
// Add up the sum of all the features
// myStart-startChar is how far to the left of the starting character we are
int offset = window-(startChar-myStart);
for(int i = 0; i < (int)res.size(); i++) {
// The position we are interested in is the matched position plus the
// offset
int pos = res[i].first + offset;
// Reverse this and multiply by the number of candidates
pos = (window*2 - pos - 1) * scores.size();
FeatVal* vec = &((*res[i].second)[pos]);
// Now add up all the values in the feature vector
for(int j = 0; j < (int)scores.size(); j++) {
#ifdef KYTEA_SAFE
if(j+pos >= (int)res[i].second->size() || j+pos < 0)
THROW_ERROR("j+pos "<<j<<"+"<<pos<<" too big for res[i].second->size() "<<res[i].second->size()<<", window="<<window);
#endif
scores[j] += vec[j];
}
}
}
// write out a language model
void TextModelIO::writeLM(const KyteaLM * lm) {
// print a single endl for empty models
if(lm == 0) {
*str_ << endl;
return;
}
*str_ << "lmn " << lm->n_ << endl;
*str_ << "lmvocab " << lm->vocabSize_ << endl;
KyteaChar spaceChar = util_->mapChar(" ");
KyteaString nullString = util_->mapString(NULL_STRING);
// sort the set of all keys
set<KyteaString> keys;
for(KyteaDoubleMap::const_iterator it = lm->probs_.begin(); it != lm->probs_.end(); it++)
keys.insert(it->first);
for(KyteaDoubleMap::const_iterator it = lm->fallbacks_.begin(); it != lm->fallbacks_.end(); it++)
keys.insert(it->first);
for(set<KyteaString>::const_iterator it = keys.begin(); it != keys.end(); it++) {
KyteaDoubleMap::const_iterator fit = const_cast<KyteaLM*>(lm)->probs_.find(*it);
KyteaString displayString;
if(it->length() == 0)
displayString = nullString;
else {
displayString = *it;
// remove the null characters
for(unsigned i = 0; i < displayString.length(); i++)
if(!displayString[i])
displayString[i] = spaceChar;
}
*str_ << (fit == lm->probs_.end() ? NEG_INFINITY : fit->second)
<< "\t" << util_->showString(displayString);
fit = const_cast<KyteaLM*>(lm)->fallbacks_.find(*it);
if(fit != lm->fallbacks_.end())
*str_ << "\t" << fit->second;
*str_ << endl;
}
*str_ << endl;
}
typename Dictionary<Entry>::MatchResult Dictionary<Entry>::match( const KyteaString & chars ) const {
const unsigned len = chars.length();
unsigned currState = 0, nextState;
MatchResult ret;
for(unsigned i = 0; i < len; i++) {
KyteaChar c = chars[i];
while((nextState = states_[currState]->step(c)) == 0 && currState != 0)
currState = states_[currState]->failure;
currState = nextState;
std::vector<unsigned> & output = states_[currState]->output;
for(unsigned j = 0; j < output.size(); j++)
ret.push_back( std::pair<unsigned, Entry*>(i, entries_[output[j]]) );
}
return ret;
}
