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author | Chris Dyer <cdyer@cs.cmu.edu> | 2012-10-11 14:06:32 -0400 |
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committer | Chris Dyer <cdyer@cs.cmu.edu> | 2012-10-11 14:06:32 -0400 |
commit | 07ea7b64b6f85e5798a8068453ed9fd2b97396db (patch) | |
tree | 644496a1690d84d82a396bbc1e39160788beb2cd /gi/pf/ngram_base.cc | |
parent | 37b9e45e5cb29d708f7249dbe0b0fb27685282a0 (diff) | |
parent | a36fcc5d55c1de84ae68c1091ebff2b1c32dc3b7 (diff) |
Merge branch 'master' of https://github.com/redpony/cdec
Diffstat (limited to 'gi/pf/ngram_base.cc')
-rw-r--r-- | gi/pf/ngram_base.cc | 69 |
1 files changed, 0 insertions, 69 deletions
diff --git a/gi/pf/ngram_base.cc b/gi/pf/ngram_base.cc deleted file mode 100644 index 1299f06f..00000000 --- a/gi/pf/ngram_base.cc +++ /dev/null @@ -1,69 +0,0 @@ -#include "ngram_base.h" - -#include "lm/model.hh" -#include "tdict.h" - -using namespace std; - -namespace { -struct GICSVMapper : public lm::EnumerateVocab { - GICSVMapper(vector<lm::WordIndex>* out) : out_(out), kLM_UNKNOWN_TOKEN(0) { out_->clear(); } - void Add(lm::WordIndex index, const StringPiece &str) { - const WordID cdec_id = TD::Convert(str.as_string()); - if (cdec_id >= out_->size()) - out_->resize(cdec_id + 1, kLM_UNKNOWN_TOKEN); - (*out_)[cdec_id] = index; - } - vector<lm::WordIndex>* out_; - const lm::WordIndex kLM_UNKNOWN_TOKEN; -}; -} - -struct FixedNgramBaseImpl { - FixedNgramBaseImpl(const string& param) { - GICSVMapper vm(&cdec2klm_map_); - lm::ngram::Config conf; - conf.enumerate_vocab = &vm; - cerr << "Reading character LM from " << param << endl; - model = new lm::ngram::ProbingModel(param.c_str(), conf); - order = model->Order(); - kEOS = MapWord(TD::Convert("</s>")); - assert(kEOS > 0); - } - - lm::WordIndex MapWord(const WordID w) const { - if (w < cdec2klm_map_.size()) return cdec2klm_map_[w]; - return 0; - } - - ~FixedNgramBaseImpl() { delete model; } - - prob_t StringProbability(const vector<WordID>& s) const { - lm::ngram::State state = model->BeginSentenceState(); - double prob = 0; - for (unsigned i = 0; i < s.size(); ++i) { - const lm::ngram::State scopy(state); - prob += model->Score(scopy, MapWord(s[i]), state); - } - const lm::ngram::State scopy(state); - prob += model->Score(scopy, kEOS, state); - prob_t p; p.logeq(prob * log(10)); - return p; - } - - lm::ngram::ProbingModel* model; - unsigned order; - vector<lm::WordIndex> cdec2klm_map_; - lm::WordIndex kEOS; -}; - -FixedNgramBase::~FixedNgramBase() { delete impl; } - -FixedNgramBase::FixedNgramBase(const string& lmfname) { - impl = new FixedNgramBaseImpl(lmfname); -} - -prob_t FixedNgramBase::StringProbability(const vector<WordID>& s) const { - return impl->StringProbability(s); -} - |