mirror of
https://github.com/moses-smt/mosesdecoder.git
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8fdec9bf30
For storing the word vocabulary used in computation of BLEU scores. This change will reduce the running time of extractor about 2-3 seconds (9% reduction).
44 lines
908 B
C++
44 lines
908 B
C++
#include "Vocabulary.h"
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#include "Singleton.h"
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namespace mert {
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namespace {
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Vocabulary* g_vocab = NULL;
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} // namespace
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int Vocabulary::Encode(const std::string& token) {
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iterator it = m_vocab.find(token);
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int encoded_token;
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if (it == m_vocab.end()) {
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// Add an new entry to the vocaburary.
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encoded_token = static_cast<int>(m_vocab.size());
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m_vocab[token] = encoded_token;
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} else {
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encoded_token = it->second;
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}
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return encoded_token;
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}
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bool Vocabulary::Lookup(const std::string&str , int* v) const {
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const_iterator it = m_vocab.find(str);
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if (it == m_vocab.end()) return false;
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*v = it->second;
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return true;
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}
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Vocabulary* VocabularyFactory::GetVocabulary() {
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if (g_vocab == NULL) {
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return MosesTuning::Singleton<Vocabulary>::GetInstance();
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} else {
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return g_vocab;
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}
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}
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void VocabularyFactory::SetVocabulary(Vocabulary* vocab) {
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g_vocab = vocab;
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}
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} // namespace mert
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