22 files changed, 1099 insertions, 0 deletions
diff --git a/klm/search/Jamfile b/klm/search/Jamfile
new file mode 100644
index 00000000..e8b14363
--- /dev/null
+++ b/klm/search/Jamfile
@@ -0,0 +1,5 @@
+lib search : weights.cc vertex.cc vertex_generator.cc edge_queue.cc edge_generator.cc rule.cc ../lm//kenlm ../util//kenutil /top//boost_system : : : <include>.. ;
+
+import testing ;
+
+unit-test weights_test : weights_test.cc search /top//boost_unit_test_framework ;
diff --git a/klm/search/arity.hh b/klm/search/arity.hh
new file mode 100644
index 00000000..09c2c671
--- /dev/null
+++ b/klm/search/arity.hh
@@ -0,0 +1,8 @@
+#ifndef SEARCH_ARITY__
+#define SEARCH_ARITY__
+namespace search {
+
+const unsigned int kMaxArity = 2;
+
+} // namespace search
+#endif // SEARCH_ARITY__
diff --git a/klm/search/config.hh b/klm/search/config.hh
new file mode 100644
index 00000000..ef8e2354
--- /dev/null
+++ b/klm/search/config.hh
@@ -0,0 +1,25 @@
+#ifndef SEARCH_CONFIG__
+#define SEARCH_CONFIG__
+
+#include "search/weights.hh"
+#include "util/string_piece.hh"
+
+namespace search {
+
+class Config {
+  public:
+    Config(const Weights &weights, unsigned int pop_limit) :
+      weights_(weights), pop_limit_(pop_limit) {}
+
+    const Weights &GetWeights() const { return weights_; }
+
+    unsigned int PopLimit() const { return pop_limit_; }
+
+  private:
+    Weights weights_;
+    unsigned int pop_limit_;
+};
+
+} // namespace search
+
+#endif // SEARCH_CONFIG__
diff --git a/klm/search/context.hh b/klm/search/context.hh
new file mode 100644
index 00000000..27940053
--- /dev/null
+++ b/klm/search/context.hh
@@ -0,0 +1,65 @@
+#ifndef SEARCH_CONTEXT__
+#define SEARCH_CONTEXT__
+
+#include "lm/model.hh"
+#include "search/config.hh"
+#include "search/final.hh"
+#include "search/types.hh"
+#include "search/vertex.hh"
+#include "util/exception.hh"
+
+#include <boost/pool/object_pool.hpp>
+#include <boost/ptr_container/ptr_vector.hpp>
+
+#include <vector>
+
+namespace search {
+
+class Weights;
+
+class ContextBase {
+  public:
+    explicit ContextBase(const Config &config) : pop_limit_(config.PopLimit()), weights_(config.GetWeights()) {}
+
+    Final *NewFinal() {
+     Final *ret = final_pool_.construct();
+     assert(ret);
+     return ret;
+    }
+
+    VertexNode *NewVertexNode() {
+      VertexNode *ret = vertex_node_pool_.construct();
+      assert(ret);
+      return ret;
+    }
+
+    void DeleteVertexNode(VertexNode *node) {
+      vertex_node_pool_.destroy(node);
+    }
+
+    unsigned int PopLimit() const { return pop_limit_; }
+
+    const Weights &GetWeights() const { return weights_; }
+
+  private:
+    boost::object_pool<Final> final_pool_;
+    boost::object_pool<VertexNode> vertex_node_pool_;
+
+    unsigned int pop_limit_;
+
+    const Weights &weights_;
+};
+
+template <class Model> class Context : public ContextBase {
+  public:
+    Context(const Config &config, const Model &model) : ContextBase(config), model_(model) {}
+
+    const Model &LanguageModel() const { return model_; }
+
+  private:
+    const Model &model_;
+};
+
+} // namespace search
+
+#endif // SEARCH_CONTEXT__
diff --git a/klm/search/edge.hh b/klm/search/edge.hh
new file mode 100644
index 00000000..77ab0ade
--- /dev/null
+++ b/klm/search/edge.hh
@@ -0,0 +1,31 @@
+#ifndef SEARCH_EDGE__
+#define SEARCH_EDGE__
+
+#include "lm/state.hh"
+#include "search/arity.hh"
+#include "search/rule.hh"
+#include "search/types.hh"
+#include "search/vertex.hh"
+
+#include <queue>
+
+namespace search {
+
+struct PartialEdge {
+  Score score;
+  // Terminals
+  lm::ngram::ChartState between[kMaxArity + 1];
+  // Non-terminals
+  PartialVertex nt[kMaxArity];
+
+  const lm::ngram::ChartState &CompletedState() const {
+    return between[0];
+  }
+
+  bool operator<(const PartialEdge &other) const {
+    return score < other.score;
+  }
+};
+
+} // namespace search
+#endif // SEARCH_EDGE__
diff --git a/klm/search/edge_generator.cc b/klm/search/edge_generator.cc
new file mode 100644
index 00000000..56239dfb
--- /dev/null
+++ b/klm/search/edge_generator.cc
@@ -0,0 +1,120 @@
+#include "search/edge_generator.hh"
+
+#include "lm/left.hh"
+#include "lm/partial.hh"
+#include "search/context.hh"
+#include "search/vertex.hh"
+#include "search/vertex_generator.hh"
+
+#include <numeric>
+
+namespace search {
+
+EdgeGenerator::EdgeGenerator(PartialEdge &root, unsigned char arity, Note note) : arity_(arity), note_(note) {
+/*  for (unsigned char i = 0; i < edge.Arity(); ++i) {
+    root.nt[i] = edge.GetVertex(i).RootPartial();
+  }
+  for (unsigned char i = edge.Arity(); i < 2; ++i) {
+    root.nt[i] = kBlankPartialVertex;
+  }*/
+  generate_.push(&root);
+  top_score_ = root.score;
+}
+
+namespace {
+
+template <class Model> float FastScore(const Context<Model> &context, unsigned char victim, unsigned char arity, const PartialEdge &previous, PartialEdge &update) {
+  memcpy(update.between, previous.between, sizeof(lm::ngram::ChartState) * (arity + 1));
+
+  float ret = 0.0;
+  lm::ngram::ChartState *before, *after;
+  if (victim == 0) {
+    before = &update.between[0];
+    after = &update.between[(arity == 2 && previous.nt[1].Complete()) ? 2 : 1];
+  } else {
+    assert(victim == 1);
+    assert(arity == 2);
+    before = &update.between[previous.nt[0].Complete() ? 0 : 1];
+    after = &update.between[2];
+  }
+  const lm::ngram::ChartState &previous_reveal = previous.nt[victim].State();
+  const PartialVertex &update_nt = update.nt[victim];
+  const lm::ngram::ChartState &update_reveal = update_nt.State();
+  float just_after = 0.0;
+  if ((update_reveal.left.length > previous_reveal.left.length) || (update_reveal.left.full && !previous_reveal.left.full)) {
+    just_after += lm::ngram::RevealAfter(context.LanguageModel(), before->left, before->right, update_reveal.left, previous_reveal.left.length);
+  }
+  if ((update_reveal.right.length > previous_reveal.right.length) || (update_nt.RightFull() && !previous.nt[victim].RightFull())) {
+    ret += lm::ngram::RevealBefore(context.LanguageModel(), update_reveal.right, previous_reveal.right.length, update_nt.RightFull(), after->left, after->right);
+  }
+  if (update_nt.Complete()) {
+    if (update_reveal.left.full) {
+      before->left.full = true;
+    } else {
+      assert(update_reveal.left.length == update_reveal.right.length);
+      ret += lm::ngram::Subsume(context.LanguageModel(), before->left, before->right, after->left, after->right, update_reveal.left.length);
+    }
+    if (victim == 0) {
+      update.between[0].right = after->right;
+    } else {
+      update.between[2].left = before->left;
+    }
+  }
+  return previous.score + (ret + just_after) * context.GetWeights().LM();
+}
+
+} // namespace
+
+template <class Model> PartialEdge *EdgeGenerator::Pop(Context<Model> &context, boost::pool<> &partial_edge_pool) {
+  assert(!generate_.empty());
+  PartialEdge &top = *generate_.top();
+  generate_.pop();
+  unsigned int victim = 0;
+  unsigned char lowest_length = 255;
+  for (unsigned char i = 0; i != arity_; ++i) {
+    if (!top.nt[i].Complete() && top.nt[i].Length() < lowest_length) {
+      lowest_length = top.nt[i].Length();
+      victim = i;
+    }
+  }
+  if (lowest_length == 255) {
+    // All states report complete.  
+    top.between[0].right = top.between[arity_].right;
+    // Now top.between[0] is the full edge state.  
+    top_score_ = generate_.empty() ? -kScoreInf : generate_.top()->score;
+    return &top;
+  }
+
+  unsigned int stay = !victim;
+  PartialEdge &continuation = *static_cast<PartialEdge*>(partial_edge_pool.malloc());
+  float old_bound = top.nt[victim].Bound();
+  // The alternate's score will change because alternate.nt[victim] changes.  
+  bool split = top.nt[victim].Split(continuation.nt[victim]);
+  // top is now the alternate.  
+
+  continuation.nt[stay] = top.nt[stay];
+  continuation.score = FastScore(context, victim, arity_, top, continuation);
+  // TODO: dedupe?  
+  generate_.push(&continuation);
+
+  if (split) {
+    // We have an alternate.  
+    top.score += top.nt[victim].Bound() - old_bound;
+    // TODO: dedupe?  
+    generate_.push(&top);
+  } else {
+    partial_edge_pool.free(&top);
+  }
+
+  top_score_ = generate_.top()->score;
+  return NULL;
+}
+
+template PartialEdge *EdgeGenerator::Pop(Context<lm::ngram::RestProbingModel> &context, boost::pool<> &partial_edge_pool);
+template PartialEdge *EdgeGenerator::Pop(Context<lm::ngram::ProbingModel> &context, boost::pool<> &partial_edge_pool);
+template PartialEdge *EdgeGenerator::Pop(Context<lm::ngram::TrieModel> &context, boost::pool<> &partial_edge_pool);
+template PartialEdge *EdgeGenerator::Pop(Context<lm::ngram::QuantTrieModel> &context, boost::pool<> &partial_edge_pool);
+template PartialEdge *EdgeGenerator::Pop(Context<lm::ngram::ArrayTrieModel> &context, boost::pool<> &partial_edge_pool);
+template PartialEdge *EdgeGenerator::Pop(Context<lm::ngram::QuantArrayTrieModel> &context, boost::pool<> &partial_edge_pool);
+
+} // namespace search
diff --git a/klm/search/edge_generator.hh b/klm/search/edge_generator.hh
new file mode 100644
index 00000000..875ccc5e
--- /dev/null
+++ b/klm/search/edge_generator.hh
@@ -0,0 +1,58 @@
+#ifndef SEARCH_EDGE_GENERATOR__
+#define SEARCH_EDGE_GENERATOR__
+
+#include "search/edge.hh"
+#include "search/note.hh"
+
+#include <boost/pool/pool.hpp>
+#include <boost/unordered_map.hpp>
+
+#include <functional>
+#include <queue>
+
+namespace lm {
+namespace ngram {
+class ChartState;
+} // namespace ngram
+} // namespace lm
+
+namespace search {
+
+template <class Model> class Context;
+
+class VertexGenerator;
+
+struct PartialEdgePointerLess : std::binary_function<const PartialEdge *, const PartialEdge *, bool> {
+  bool operator()(const PartialEdge *first, const PartialEdge *second) const {
+    return *first < *second;
+  }
+};
+
+class EdgeGenerator {
+  public:
+    EdgeGenerator(PartialEdge &root, unsigned char arity, Note note);
+
+    Score TopScore() const {
+      return top_score_;
+    }
+
+    Note GetNote() const {
+      return note_;
+    }
+
+    // Pop.  If there's a complete hypothesis, return it.  Otherwise return NULL.  
+    template <class Model> PartialEdge *Pop(Context<Model> &context, boost::pool<> &partial_edge_pool);
+
+  private:
+    Score top_score_;
+
+    unsigned char arity_;
+
+    typedef std::priority_queue<PartialEdge*, std::vector<PartialEdge*>, PartialEdgePointerLess> Generate;
+    Generate generate_;
+
+    Note note_;
+};
+
+} // namespace search
+#endif // SEARCH_EDGE_GENERATOR__
diff --git a/klm/search/edge_queue.cc b/klm/search/edge_queue.cc
new file mode 100644
index 00000000..e3ae6ebf
--- /dev/null
+++ b/klm/search/edge_queue.cc
@@ -0,0 +1,25 @@
+#include "search/edge_queue.hh"
+
+#include "lm/left.hh"
+#include "search/context.hh"
+
+#include <stdint.h>
+
+namespace search {
+
+EdgeQueue::EdgeQueue(unsigned int pop_limit_hint) : partial_edge_pool_(sizeof(PartialEdge), pop_limit_hint * 2) {
+  take_ = static_cast<PartialEdge*>(partial_edge_pool_.malloc());
+}
+
+/*void EdgeQueue::AddEdge(PartialEdge &root, unsigned char arity, Note note) {
+  // Ignore empty edges.  
+  for (unsigned char i = 0; i < edge.Arity(); ++i) {
+    PartialVertex root(edge.GetVertex(i).RootPartial());
+    if (root.Empty()) return;
+    total_score += root.Bound();
+  }
+  PartialEdge &allocated = *static_cast<PartialEdge*>(partial_edge_pool_.malloc());
+  allocated.score = total_score;
+}*/
+
+} // namespace search
diff --git a/klm/search/edge_queue.hh b/klm/search/edge_queue.hh
new file mode 100644
index 00000000..187eaed7
--- /dev/null
+++ b/klm/search/edge_queue.hh
@@ -0,0 +1,73 @@
+#ifndef SEARCH_EDGE_QUEUE__
+#define SEARCH_EDGE_QUEUE__
+
+#include "search/edge.hh"
+#include "search/edge_generator.hh"
+#include "search/note.hh"
+
+#include <boost/pool/pool.hpp>
+#include <boost/pool/object_pool.hpp>
+
+#include <queue>
+
+namespace search {
+
+template <class Model> class Context;
+
+class EdgeQueue {
+  public:
+    explicit EdgeQueue(unsigned int pop_limit_hint);
+
+    PartialEdge &InitializeEdge() {
+      return *take_;
+    }
+
+    void AddEdge(unsigned char arity, Note note) {
+      generate_.push(edge_pool_.construct(*take_, arity, note));
+      take_ = static_cast<PartialEdge*>(partial_edge_pool_.malloc());
+    }
+
+    bool Empty() const { return generate_.empty(); }
+
+    /* Generate hypotheses and send them to output.  Normally, output is a
+     * VertexGenerator, but the decoder may want to route edges to different
+     * vertices i.e. if they have different LHS non-terminal labels.  
+     */
+    template <class Model, class Output> void Search(Context<Model> &context, Output &output) {
+      int to_pop = context.PopLimit();
+      while (to_pop > 0 && !generate_.empty()) {
+        EdgeGenerator *top = generate_.top();
+        generate_.pop();
+        PartialEdge *ret = top->Pop(context, partial_edge_pool_);
+        if (ret) {
+          output.NewHypothesis(*ret, top->GetNote());
+          --to_pop;
+          if (top->TopScore() != -kScoreInf) {
+            generate_.push(top);
+          }
+        } else {
+          generate_.push(top);
+        }
+      }
+      output.FinishedSearch();
+    }
+
+  private:
+    boost::object_pool<EdgeGenerator> edge_pool_;
+
+    struct LessByTopScore : public std::binary_function<const EdgeGenerator *, const EdgeGenerator *, bool> {
+      bool operator()(const EdgeGenerator *first, const EdgeGenerator *second) const {
+        return first->TopScore() < second->TopScore();
+      }
+    };
+
+    typedef std::priority_queue<EdgeGenerator*, std::vector<EdgeGenerator*>, LessByTopScore> Generate;
+    Generate generate_;
+
+    boost::pool<> partial_edge_pool_;
+
+    PartialEdge *take_;
+};
+
+} // namespace search
+#endif // SEARCH_EDGE_QUEUE__
diff --git a/klm/search/final.hh b/klm/search/final.hh
new file mode 100644
index 00000000..1b3092ac
--- /dev/null
+++ b/klm/search/final.hh
@@ -0,0 +1,39 @@
+#ifndef SEARCH_FINAL__
+#define SEARCH_FINAL__
+
+#include "search/arity.hh"
+#include "search/note.hh"
+#include "search/types.hh"
+
+#include <boost/array.hpp>
+
+namespace search {
+
+class Final {
+  public:
+    typedef boost::array<const Final*, search::kMaxArity> ChildArray;
+
+    void Reset(Score bound, Note note, const Final &left, const Final &right) {
+      bound_ = bound;
+      note_ = note;
+      children_[0] = &left;
+      children_[1] = &right;
+    }
+
+    const ChildArray &Children() const { return children_; }
+
+    Note GetNote() const { return note_; }
+
+    Score Bound() const { return bound_; }
+
+  private:
+    Score bound_;
+
+    Note note_;
+
+    ChildArray children_;
+};
+
+} // namespace search
+
+#endif // SEARCH_FINAL__
diff --git a/klm/search/note.hh b/klm/search/note.hh
new file mode 100644
index 00000000..50bed06e
--- /dev/null
+++ b/klm/search/note.hh
@@ -0,0 +1,12 @@
+#ifndef SEARCH_NOTE__
+#define SEARCH_NOTE__
+
+namespace search {
+
+union Note {
+  const void *vp;
+};
+
+} // namespace search
+
+#endif // SEARCH_NOTE__
diff --git a/klm/search/rule.cc b/klm/search/rule.cc
new file mode 100644
index 00000000..5b00207e
--- /dev/null
+++ b/klm/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
diff --git a/klm/search/rule.hh b/klm/search/rule.hh
new file mode 100644
index 00000000..0ce2794d
--- /dev/null
+++ b/klm/search/rule.hh
@@ -0,0 +1,20 @@
+#ifndef SEARCH_RULE__
+#define SEARCH_RULE__
+
+#include "lm/left.hh"
+#include "lm/word_index.hh"
+#include "search/types.hh"
+
+#include <vector>
+
+namespace search {
+
+template <class Model> class Context;
+
+const lm::WordIndex kNonTerminal = lm::kMaxWordIndex;
+
+template <class Model> float ScoreRule(const Context<Model> &context, const std::vector<lm::WordIndex> &words, bool prepend_bos, lm::ngram::ChartState *state_out);
+
+} // namespace search
+
+#endif // SEARCH_RULE__
diff --git a/klm/search/source.hh b/klm/search/source.hh
new file mode 100644
index 00000000..11839f7b
--- /dev/null
+++ b/klm/search/source.hh
@@ -0,0 +1,48 @@
+#ifndef SEARCH_SOURCE__
+#define SEARCH_SOURCE__
+
+#include "search/types.hh"
+
+#include <assert.h>
+#include <vector>
+
+namespace search {
+
+template <class Final> class Source {
+  public:
+    Source() : bound_(kScoreInf) {}
+
+    Index Size() const {
+      return final_.size();
+    }
+
+    Score Bound() const {
+      return bound_;
+    }
+
+    const Final &operator[](Index index) const {
+      return *final_[index];
+    }
+
+    Score ScoreOrBound(Index index) const {
+      return Size() > index ? final_[index]->Total() : Bound();
+    }
+
+  protected:
+    void AddFinal(const Final &store) {
+      final_.push_back(&store);
+    }
+
+    void SetBound(Score to) {
+      assert(to <= bound_ + 0.001);
+      bound_ = to;
+    }
+
+  private:
+    std::vector<const Final *> final_;
+
+    Score bound_;
+};
+
+} // namespace search
+#endif // SEARCH_SOURCE__
diff --git a/klm/search/types.hh b/klm/search/types.hh
new file mode 100644
index 00000000..9726379f
--- /dev/null
+++ b/klm/search/types.hh
@@ -0,0 +1,18 @@
+#ifndef SEARCH_TYPES__
+#define SEARCH_TYPES__
+
+#include <cmath>
+
+namespace search {
+
+typedef float Score;
+const Score kScoreInf = INFINITY;
+
+// This could have been an enum but gcc wants 4 bytes.  
+typedef bool ExtendDirection;
+const ExtendDirection kExtendLeft = 0;
+const ExtendDirection kExtendRight = 1;
+
+} // namespace search
+
+#endif // SEARCH_TYPES__
diff --git a/klm/search/vertex.cc b/klm/search/vertex.cc
new file mode 100644
index 00000000..cc53c0dd
--- /dev/null
+++ b/klm/search/vertex.cc
@@ -0,0 +1,48 @@
+#include "search/vertex.hh"
+
+#include "search/context.hh"
+
+#include <algorithm>
+#include <functional>
+
+#include <assert.h>
+
+namespace search {
+
+namespace {
+
+struct GreaterByBound : public std::binary_function<const VertexNode *, const VertexNode *, bool> {
+  bool operator()(const VertexNode *first, const VertexNode *second) const {
+    return first->Bound() > second->Bound();
+  }
+};
+
+} // namespace
+
+void VertexNode::SortAndSet(ContextBase &context, VertexNode **parent_ptr) {
+  if (Complete()) {
+    assert(end_);
+    assert(extend_.empty());
+    bound_ = end_->Bound();
+    return;
+  }
+  if (extend_.size() == 1 && parent_ptr) {
+    *parent_ptr = extend_[0];
+    extend_[0]->SortAndSet(context, parent_ptr);
+    context.DeleteVertexNode(this);
+    return;
+  }
+  for (std::vector<VertexNode*>::iterator i = extend_.begin(); i != extend_.end(); ++i) {
+    (*i)->SortAndSet(context, &*i);
+  }
+  std::sort(extend_.begin(), extend_.end(), GreaterByBound());
+  bound_ = extend_.front()->Bound();
+}
+
+namespace {
+VertexNode kBlankVertexNode;
+} // namespace
+
+PartialVertex kBlankPartialVertex(kBlankVertexNode);
+
+} // namespace search
diff --git a/klm/search/vertex.hh b/klm/search/vertex.hh
new file mode 100644
index 00000000..e1a9ad11
--- /dev/null
+++ b/klm/search/vertex.hh
@@ -0,0 +1,158 @@
+#ifndef SEARCH_VERTEX__
+#define SEARCH_VERTEX__
+
+#include "lm/left.hh"
+#include "search/final.hh"
+#include "search/types.hh"
+
+#include <boost/unordered_set.hpp>
+
+#include <queue>
+#include <vector>
+
+#include <stdint.h>
+
+namespace search {
+
+class ContextBase;
+
+class VertexNode {
+  public:
+    VertexNode() : end_(NULL) {}
+
+    void InitRoot() {
+      extend_.clear();
+      state_.left.full = false;
+      state_.left.length = 0;
+      state_.right.length = 0;
+      right_full_ = false;
+      bound_ = -kScoreInf;
+      end_ = NULL;
+    }
+
+    lm::ngram::ChartState &MutableState() { return state_; }
+    bool &MutableRightFull() { return right_full_; }
+
+    void AddExtend(VertexNode *next) {
+      extend_.push_back(next);
+    }
+
+    void SetEnd(Final *end) { end_ = end; }
+    
+    Final &MutableEnd() { return *end_; }
+
+    void SortAndSet(ContextBase &context, VertexNode **parent_pointer);
+
+    // Should only happen to a root node when the entire vertex is empty.   
+    bool Empty() const {
+      return !end_ && extend_.empty();
+    }
+
+    bool Complete() const {
+      return end_;
+    }
+
+    const lm::ngram::ChartState &State() const { return state_; }
+    bool RightFull() const { return right_full_; }
+
+    Score Bound() const {
+      return bound_;
+    }
+
+    unsigned char Length() const {
+      return state_.left.length + state_.right.length;
+    }
+
+    // May be NULL.
+    const Final *End() const { return end_; }
+
+    const VertexNode &operator[](size_t index) const {
+      return *extend_[index];
+    }
+
+    size_t Size() const {
+      return extend_.size();
+    }
+
+  private:
+    std::vector<VertexNode*> extend_;
+
+    lm::ngram::ChartState state_;
+    bool right_full_;
+
+    Score bound_;
+    Final *end_;
+};
+
+class PartialVertex {
+  public:
+    PartialVertex() {}
+
+    explicit PartialVertex(const VertexNode &back) : back_(&back), index_(0) {}
+
+    bool Empty() const { return back_->Empty(); }
+
+    bool Complete() const { return back_->Complete(); }
+
+    const lm::ngram::ChartState &State() const { return back_->State(); }
+    bool RightFull() const { return back_->RightFull(); }
+
+    Score Bound() const { return Complete() ? back_->End()->Bound() : (*back_)[index_].Bound(); }
+
+    unsigned char Length() const { return back_->Length(); }
+
+    bool HasAlternative() const {
+      return index_ + 1 < back_->Size();
+    }
+
+    // Split into continuation and alternative, rendering this the alternative.
+    bool Split(PartialVertex &continuation) {
+      assert(!Complete());
+      continuation.back_ = &((*back_)[index_]);
+      continuation.index_ = 0;
+      if (index_ + 1 < back_->Size()) {
+        ++index_;
+        return true;
+      }
+      return false;
+    }
+
+    const Final &End() const {
+      return *back_->End();
+    }
+
+  private:
+    const VertexNode *back_;
+    unsigned int index_;
+};
+
+extern PartialVertex kBlankPartialVertex;
+
+class Vertex {
+  public:
+    Vertex() {}
+
+    PartialVertex RootPartial() const { return PartialVertex(root_); }
+
+    const Final *BestChild() const {
+      PartialVertex top(RootPartial());
+      if (top.Empty()) {
+        return NULL;
+      } else {
+        PartialVertex continuation;
+        while (!top.Complete()) {
+          top.Split(continuation);
+          top = continuation;
+        }
+        return &top.End();
+      }
+    }
+
+  private:
+    friend class VertexGenerator;
+
+    VertexNode root_;
+};
+
+} // namespace search
+#endif // SEARCH_VERTEX__
diff --git a/klm/search/vertex_generator.cc b/klm/search/vertex_generator.cc
new file mode 100644
index 00000000..d94e6e06
--- /dev/null
+++ b/klm/search/vertex_generator.cc
@@ -0,0 +1,83 @@
+#include "search/vertex_generator.hh"
+
+#include "lm/left.hh"
+#include "search/context.hh"
+#include "search/edge.hh"
+
+#include <stdint.h>
+
+namespace search {
+
+VertexGenerator::VertexGenerator(ContextBase &context, Vertex &gen) : context_(context), gen_(gen) {
+  gen.root_.InitRoot();
+  root_.under = &gen.root_;
+}
+
+namespace {
+const uint64_t kCompleteAdd = static_cast<uint64_t>(-1);
+} // namespace
+
+void VertexGenerator::NewHypothesis(const PartialEdge &partial, Note note) {
+  const lm::ngram::ChartState &state = partial.CompletedState();
+  std::pair<Existing::iterator, bool> got(existing_.insert(std::pair<uint64_t, Final*>(hash_value(state), NULL)));
+  if (!got.second) {
+    // Found it already.  
+    Final &exists = *got.first->second;
+    if (exists.Bound() < partial.score) {
+      exists.Reset(partial.score, note, partial.nt[0].End(), partial.nt[1].End());
+    }
+    return;
+  }
+  unsigned char left = 0, right = 0;
+  Trie *node = &root_;
+  while (true) {
+    if (left == state.left.length) {
+      node = &FindOrInsert(*node, kCompleteAdd - state.left.full, state, left, true, right, false);
+      for (; right < state.right.length; ++right) {
+        node = &FindOrInsert(*node, state.right.words[right], state, left, true, right + 1, false);
+      }
+      break;
+    }
+    node = &FindOrInsert(*node, state.left.pointers[left], state, left + 1, false, right, false);
+    left++;
+    if (right == state.right.length) {
+      node = &FindOrInsert(*node, kCompleteAdd - state.left.full, state, left, false, right, true);
+      for (; left < state.left.length; ++left) {
+        node = &FindOrInsert(*node, state.left.pointers[left], state, left + 1, false, right, true);
+      }
+      break;
+    }
+    node = &FindOrInsert(*node, state.right.words[right], state, left, false, right + 1, false);
+    right++;
+  }
+
+  node = &FindOrInsert(*node, kCompleteAdd - state.left.full, state, state.left.length, true, state.right.length, true);
+  got.first->second = CompleteTransition(*node, state, note, partial);
+}
+
+VertexGenerator::Trie &VertexGenerator::FindOrInsert(VertexGenerator::Trie &node, uint64_t added, const lm::ngram::ChartState &state, unsigned char left, bool left_full, unsigned char right, bool right_full) {
+  VertexGenerator::Trie &next = node.extend[added];
+  if (!next.under) {
+    next.under = context_.NewVertexNode();
+    lm::ngram::ChartState &writing = next.under->MutableState();
+    writing = state;
+    writing.left.full &= left_full && state.left.full;
+    next.under->MutableRightFull() = right_full && state.left.full;
+    writing.left.length = left;
+    writing.right.length = right;
+    node.under->AddExtend(next.under);
+  }
+  return next;
+}
+
+Final *VertexGenerator::CompleteTransition(VertexGenerator::Trie &starter, const lm::ngram::ChartState &state, Note note, const PartialEdge &partial) {
+  VertexNode &node = *starter.under;
+  assert(node.State().left.full == state.left.full);
+  assert(!node.End());
+  Final *final = context_.NewFinal();
+  final->Reset(partial.score, note, partial.nt[0].End(), partial.nt[1].End());
+  node.SetEnd(final);
+  return final;
+}
+
+} // namespace search
diff --git a/klm/search/vertex_generator.hh b/klm/search/vertex_generator.hh
new file mode 100644
index 00000000..6b98da3e
--- /dev/null
+++ b/klm/search/vertex_generator.hh
@@ -0,0 +1,59 @@
+#ifndef SEARCH_VERTEX_GENERATOR__
+#define SEARCH_VERTEX_GENERATOR__
+
+#include "search/note.hh"
+#include "search/vertex.hh"
+
+#include <boost/unordered_map.hpp>
+
+#include <queue>
+
+namespace lm {
+namespace ngram {
+class ChartState;
+} // namespace ngram
+} // namespace lm
+
+namespace search {
+
+class ContextBase;
+class Final;
+struct PartialEdge;
+
+class VertexGenerator {
+  public:
+    VertexGenerator(ContextBase &context, Vertex &gen);
+
+    void NewHypothesis(const PartialEdge &partial, Note note);
+
+    void FinishedSearch() {
+      root_.under->SortAndSet(context_, NULL);
+    }
+
+    const Vertex &Generating() const { return gen_; }
+
+  private:
+    // Parallel structure to VertexNode.  
+    struct Trie {
+      Trie() : under(NULL) {}
+
+      VertexNode *under;
+      boost::unordered_map<uint64_t, Trie> extend;
+    };
+
+    Trie &FindOrInsert(Trie &node, uint64_t added, const lm::ngram::ChartState &state, unsigned char left, bool left_full, unsigned char right, bool right_full);
+
+    Final *CompleteTransition(Trie &node, const lm::ngram::ChartState &state, Note note, const PartialEdge &partial);
+
+    ContextBase &context_;
+
+    Vertex &gen_;
+
+    Trie root_;
+
+    typedef boost::unordered_map<uint64_t, Final*> Existing;
+    Existing existing_;
+};
+
+} // namespace search
+#endif // SEARCH_VERTEX_GENERATOR__
diff --git a/klm/search/weights.cc b/klm/search/weights.cc
new file mode 100644
index 00000000..d65471ad
--- /dev/null
+++ b/klm/search/weights.cc
@@ -0,0 +1,71 @@
+#include "search/weights.hh"
+#include "util/tokenize_piece.hh"
+
+#include <cstdlib>
+
+namespace search {
+
+namespace {
+struct Insert {
+  void operator()(boost::unordered_map<std::string, search::Score> &map, StringPiece name, search::Score score) const {
+    std::string copy(name.data(), name.size());
+    map[copy] = score;
+  }
+};
+
+struct DotProduct {
+  search::Score total;
+  DotProduct() : total(0.0) {}
+
+  void operator()(const boost::unordered_map<std::string, search::Score> &map, StringPiece name, search::Score score) {
+    boost::unordered_map<std::string, search::Score>::const_iterator i(FindStringPiece(map, name));
+    if (i != map.end()) 
+      total += score * i->second;
+  }
+};
+
+template <class Map, class Op> void Parse(StringPiece text, Map &map, Op &op) {
+  for (util::TokenIter<util::SingleCharacter, true> spaces(text, ' '); spaces; ++spaces) {
+    util::TokenIter<util::SingleCharacter> equals(*spaces, '=');
+    UTIL_THROW_IF(!equals, WeightParseException, "Bad weight token " << *spaces);
+    StringPiece name(*equals);
+    UTIL_THROW_IF(!++equals, WeightParseException, "Bad weight token " << *spaces);
+    char *end;
+    // Assumes proper termination.  
+    double value = std::strtod(equals->data(), &end);
+    UTIL_THROW_IF(end != equals->data() + equals->size(), WeightParseException, "Failed to parse weight" << *equals);
+    UTIL_THROW_IF(++equals, WeightParseException, "Too many equals in " << *spaces);
+    op(map, name, value);
+  }
+}
+
+} // namespace
+
+Weights::Weights(StringPiece text) {
+  Insert op;
+  Parse<Map, Insert>(text, map_, op);
+  lm_ = Steal("LanguageModel");
+  oov_ = Steal("OOV");
+  word_penalty_ = Steal("WordPenalty");
+}
+
+Weights::Weights(Score lm, Score oov, Score word_penalty) : lm_(lm), oov_(oov), word_penalty_(word_penalty) {}
+
+search::Score Weights::DotNoLM(StringPiece text) const {
+  DotProduct dot;
+  Parse<const Map, DotProduct>(text, map_, dot);
+  return dot.total;
+}
+
+float Weights::Steal(const std::string &str) {
+  Map::iterator i(map_.find(str));
+  if (i == map_.end()) {
+    return 0.0;
+  } else {
+    float ret = i->second;
+    map_.erase(i);
+    return ret;
+  }
+}
+
+} // namespace search
diff --git a/klm/search/weights.hh b/klm/search/weights.hh
new file mode 100644
index 00000000..df1c419f
--- /dev/null
+++ b/klm/search/weights.hh
@@ -0,0 +1,52 @@
+// For now, the individual features are not kept.  
+#ifndef SEARCH_WEIGHTS__
+#define SEARCH_WEIGHTS__
+
+#include "search/types.hh"
+#include "util/exception.hh"
+#include "util/string_piece.hh"
+
+#include <boost/unordered_map.hpp>
+
+#include <string>
+
+namespace search {
+
+class WeightParseException : public util::Exception {
+  public:
+    WeightParseException() {}
+    ~WeightParseException() throw() {}
+};
+
+class Weights {
+  public:
+    // Parses weights, sets lm_weight_, removes it from map_.
+    explicit Weights(StringPiece text);
+
+    // Just the three scores we care about adding.   
+    Weights(Score lm, Score oov, Score word_penalty);
+
+    Score DotNoLM(StringPiece text) const;
+
+    Score LM() const { return lm_; }
+
+    Score OOV() const { return oov_; }
+
+    Score WordPenalty() const { return word_penalty_; }
+
+    // Mostly for testing.  
+    const boost::unordered_map<std::string, Score> &GetMap() const { return map_; }
+
+  private:
+    float Steal(const std::string &str);
+
+    typedef boost::unordered_map<std::string, Score> Map;
+
+    Map map_;
+
+    Score lm_, oov_, word_penalty_;
+};
+
+} // namespace search
+
+#endif // SEARCH_WEIGHTS__
diff --git a/klm/search/weights_test.cc b/klm/search/weights_test.cc
new file mode 100644
index 00000000..4811ff06
--- /dev/null
+++ b/klm/search/weights_test.cc
@@ -0,0 +1,38 @@
+#include "search/weights.hh"
+
+#define BOOST_TEST_MODULE WeightTest
+#include <boost/test/unit_test.hpp>
+#include <boost/test/floating_point_comparison.hpp>
+
+namespace search {
+namespace {
+
+#define CHECK_WEIGHT(value, string) \
+  i = parsed.find(string); \
+  BOOST_REQUIRE(i != parsed.end()); \
+  BOOST_CHECK_CLOSE((value), i->second, 0.001);
+
+BOOST_AUTO_TEST_CASE(parse) {
+  // These are not real feature weights.  
+  Weights w("rarity=0 phrase-SGT=0 phrase-TGS=9.45117 lhsGrhs=0 lexical-SGT=2.33833 lexical-TGS=-28.3317 abstract?=0 LanguageModel=3 lexical?=1 glue?=5");
+  const boost::unordered_map<std::string, search::Score> &parsed = w.GetMap();
+  boost::unordered_map<std::string, search::Score>::const_iterator i;
+  CHECK_WEIGHT(0.0, "rarity");
+  CHECK_WEIGHT(0.0, "phrase-SGT");
+  CHECK_WEIGHT(9.45117, "phrase-TGS");
+  CHECK_WEIGHT(2.33833, "lexical-SGT");
+  BOOST_CHECK(parsed.end() == parsed.find("lm"));
+  BOOST_CHECK_CLOSE(3.0, w.LM(), 0.001);
+  CHECK_WEIGHT(-28.3317, "lexical-TGS");
+  CHECK_WEIGHT(5.0, "glue?");
+}
+
+BOOST_AUTO_TEST_CASE(dot) {
+  Weights w("rarity=0 phrase-SGT=0 phrase-TGS=9.45117 lhsGrhs=0 lexical-SGT=2.33833 lexical-TGS=-28.3317 abstract?=0 LanguageModel=3 lexical?=1 glue?=5");
+  BOOST_CHECK_CLOSE(9.45117 * 3.0, w.DotNoLM("phrase-TGS=3.0"), 0.001);
+  BOOST_CHECK_CLOSE(9.45117 * 3.0, w.DotNoLM("phrase-TGS=3.0 LanguageModel=10"), 0.001);
+  BOOST_CHECK_CLOSE(9.45117 * 3.0 + 28.3317 * 17.4, w.DotNoLM("rarity=5 phrase-TGS=3.0 LanguageModel=10 lexical-TGS=-17.4"), 0.001);
+}
+
+} // namespace
+} // namespace search