diff options
| author | Chris Dyer <cdyer@cs.cmu.edu> | 2012-03-10 12:56:15 -0500 | 
|---|---|---|
| committer | Chris Dyer <cdyer@cs.cmu.edu> | 2012-03-10 12:56:15 -0500 | 
| commit | 38f28be7cd2bada87ebad78994e3c938e10c2cce (patch) | |
| tree | 4cf20764d9fd8f4186b3998cb3af56e5c830650e /gi/pf/quasi_model2.h | |
| parent | de136247bdedb960dc0f317cd65b28c02a441532 (diff) | |
ready to infer alignment parameters
Diffstat (limited to 'gi/pf/quasi_model2.h')
| -rw-r--r-- | gi/pf/quasi_model2.h | 115 | 
1 files changed, 92 insertions, 23 deletions
diff --git a/gi/pf/quasi_model2.h b/gi/pf/quasi_model2.h index 0095289f..8ec0a400 100644 --- a/gi/pf/quasi_model2.h +++ b/gi/pf/quasi_model2.h @@ -3,44 +3,113 @@  #include <vector>  #include <cmath> +#include <tr1/unordered_map> +#include "boost/functional.hpp"  #include "prob.h"  #include "array2d.h" +struct AlignmentObservation { +  AlignmentObservation() : src_len(), trg_len(), j(), a_j() {} +  AlignmentObservation(unsigned sl, unsigned tl, unsigned tw, unsigned sw) : +      src_len(sl), trg_len(tl), j(tw), a_j(sw) {} +  unsigned short src_len; +  unsigned short trg_len; +  unsigned short j; +  unsigned short a_j; +}; + +inline size_t hash_value(const AlignmentObservation& o) { +  return reinterpret_cast<const size_t&>(o); +} + +inline bool operator==(const AlignmentObservation& a, const AlignmentObservation& b) { +  return hash_value(a) == hash_value(b); +} +  struct QuasiModel2 {    explicit QuasiModel2(double alpha, double pnull = 0.1) :        alpha_(alpha),        pnull_(pnull), -      pnotnull_(1 - pnull), -      z_(1000,1000) {} +      pnotnull_(1 - pnull) {} +    // a_j = 0 => NULL; src_len does *not* include null -  prob_t Pa_j(unsigned a_j, unsigned j, unsigned src_len, unsigned trg_len) const { +  prob_t Prob(unsigned a_j, unsigned j, unsigned src_len, unsigned trg_len) const {      if (!a_j) return pnull_; -    std::vector<prob_t>& zv = z_(src_len, trg_len); -    if (zv.size() == 0) -      zv.resize(trg_len); -     -    prob_t& z = zv[j]; -    if (z.is_0()) z = ComputeZ(j, src_len, trg_len); - -    prob_t p; -    p.logeq(-fabs(double(a_j - 1) / src_len - double(j) / trg_len) * alpha_); -    p *= pnotnull_; -    p /= z; +    return pnotnull_ * +       prob_t(UnnormalizedProb(a_j, j, src_len, trg_len, alpha_) / GetOrComputeZ(j, src_len, trg_len)); +  } + +  void Increment(unsigned a_j, unsigned j, unsigned src_len, unsigned trg_len) { +    assert(a_j <= src_len); +    assert(j < trg_len); +    ++obs_[AlignmentObservation(src_len, trg_len, j, a_j)]; +  } + +  void Decrement(unsigned a_j, unsigned j, unsigned src_len, unsigned trg_len) { +    const AlignmentObservation ao(src_len, trg_len, j, a_j); +    int &cc = obs_[ao]; +    assert(cc > 0); +    --cc; +    if (!cc) obs_.erase(ao); +  } + +  prob_t Likelihood() const { +    return Likelihood(alpha_, pnull_.as_float()); +  } + +  prob_t Likelihood(double alpha, double ppnull) const { +    const prob_t pnull(ppnull); +    const prob_t pnotnull(1 - ppnull); + +    prob_t p = prob_t::One(); +    for (ObsCount::const_iterator it = obs_.begin(); it != obs_.end(); ++it) { +      const AlignmentObservation& ao = it->first; +      if (ao.a_j) { +        double u = UnnormalizedProb(ao.a_j, ao.j, ao.src_len, ao.trg_len, alpha); +        double z = ComputeZ(ao.j, ao.src_len, ao.trg_len, alpha); +        prob_t pa(u / z); +        pa *= pnotnull; +        pa.poweq(it->second); +        p *= pa; +      } else { +        p *= pnull.pow(it->second); +      } +    }      return p;    } +   private: -  prob_t ComputeZ(unsigned j, unsigned src_len, unsigned trg_len) const { -    prob_t p, z = prob_t::Zero(); -    for (int a_j = 1; a_j <= src_len; ++a_j) { -      p.logeq(-fabs(double(a_j - 1) / src_len - double(j) / trg_len) * alpha_); -      z += p; -    } +  static double UnnormalizedProb(unsigned a_j, unsigned j, unsigned src_len, unsigned trg_len, double alpha) { +    return exp(-fabs(double(a_j - 1) / src_len - double(j) / trg_len) * alpha); +  } + +  static double ComputeZ(unsigned j, unsigned src_len, unsigned trg_len, double alpha) { +    double z = 0; +    for (int a_j = 1; a_j <= src_len; ++a_j) +      z += UnnormalizedProb(a_j, j, src_len, trg_len, alpha);      return z;    } + +  const double& GetOrComputeZ(unsigned j, unsigned src_len, unsigned trg_len) const { +    if (src_len >= zcache_.size()) +      zcache_.resize(src_len + 1); +    if (trg_len >= zcache_[src_len].size()) +      zcache_[src_len].resize(trg_len + 1); +    std::vector<double>& zv = zcache_[src_len][trg_len]; +    if (zv.size() == 0) +      zv.resize(trg_len); +    double& z = zv[j]; +    if (!z) +      z = ComputeZ(j, src_len, trg_len, alpha_); +    return z; +  } +    double alpha_; -  const prob_t pnull_; -  const prob_t pnotnull_; -  mutable Array2D<std::vector<prob_t> > z_; +  prob_t pnull_; +  prob_t pnotnull_; +  mutable std::vector<std::vector<std::vector<double> > > zcache_; +  typedef std::tr1::unordered_map<AlignmentObservation, int, boost::hash<AlignmentObservation> > ObsCount; +  ObsCount obs_;  };  #endif  | 
