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authorKenneth Heafield <github@kheafield.com>2012-10-15 16:58:33 +0400
committerKenneth Heafield <github@kheafield.com>2012-10-15 16:58:33 +0400
commit0eb98df0fe32a8e31188fa107f789afd73d81ccf (patch)
tree6b2f5bb5a21e132f419da1fa7064f94eb74428e6 /search/rule.cc
parented00315c8cf4c0b0f8ebc535cf676139b25ab087 (diff)
Submodules are evil. Undo it.
Diffstat (limited to 'search/rule.cc')
-rw-r--r--search/rule.cc43
1 files changed, 43 insertions, 0 deletions
diff --git a/search/rule.cc b/search/rule.cc
new file mode 100644
index 000000000..5b00207ef
--- /dev/null
+++ b/search/rule.cc
@@ -0,0 +1,43 @@
+#include "search/rule.hh"
+
+#include "search/context.hh"
+#include "search/final.hh"
+
+#include <ostream>
+
+#include <math.h>
+
+namespace search {
+
+template <class Model> float ScoreRule(const Context<Model> &context, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing) {
+ unsigned int oov_count = 0;
+ float prob = 0.0;
+ const Model &model = context.LanguageModel();
+ const lm::WordIndex oov = model.GetVocabulary().NotFound();
+ for (std::vector<lm::WordIndex>::const_iterator word = words.begin(); ; ++word) {
+ lm::ngram::RuleScore<Model> scorer(model, *(writing++));
+ // TODO: optimize
+ if (prepend_bos && (word == words.begin())) {
+ scorer.BeginSentence();
+ }
+ for (; ; ++word) {
+ if (word == words.end()) {
+ prob += scorer.Finish();
+ return static_cast<float>(oov_count) * context.GetWeights().OOV() + prob * context.GetWeights().LM();
+ }
+ if (*word == kNonTerminal) break;
+ if (*word == oov) ++oov_count;
+ scorer.Terminal(*word);
+ }
+ prob += scorer.Finish();
+ }
+}
+
+template float ScoreRule(const Context<lm::ngram::RestProbingModel> &model, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing);
+template float ScoreRule(const Context<lm::ngram::ProbingModel> &model, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing);
+template float ScoreRule(const Context<lm::ngram::TrieModel> &model, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing);
+template float ScoreRule(const Context<lm::ngram::QuantTrieModel> &model, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing);
+template float ScoreRule(const Context<lm::ngram::ArrayTrieModel> &model, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing);
+template float ScoreRule(const Context<lm::ngram::QuantArrayTrieModel> &model, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *writing);
+
+} // namespace search