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/*
* reordering_classes.h
* Utility classes for lexical reordering table scoring
*
* Created by: Sara Stymne - Linköping University
* Machine Translation Marathon 2010, Dublin
*/
#pragma once
#include <vector>
#include <string>
#include <fstream>
enum ORIENTATION {MONO, SWAP, DRIGHT, DLEFT, OTHER, NOMONO};
//Keeps the counts for the different reordering types
//(Instantiated in 1-3 instances, one for each type of model (hier, phrase, wbe))
class ModelScore
{
private:
std::vector<double> count_fe_prev;
std::vector<double> count_fe_next;
std::vector<double> count_f_prev;
std::vector<double> count_f_next;
protected:
virtual ORIENTATION getType(const std::string& s);
public:
ModelScore();
void add_example(const std::string& previous, std::string& next);
void reset_fe();
void reset_f();
const std::vector<double>& get_scores_fe_prev() const;
const std::vector<double>& get_scores_fe_next() const;
const std::vector<double>& get_scores_f_prev() const;
const std::vector<double>& get_scores_f_next() const;
static ModelScore* createModelScore(const std::string& modeltype);
};
class ModelScoreMSLR : public ModelScore
{
protected:
virtual ORIENTATION getType(const std::string& s);
};
class ModelScoreLR : public ModelScore
{
protected:
virtual ORIENTATION getType(const std::string& s);
};
class ModelScoreMSD : public ModelScore
{
protected:
virtual ORIENTATION getType(const std::string& s);
};
class ModelScoreMonotonicity : public ModelScore
{
protected:
virtual ORIENTATION getType(const std::string& s);
};
//Class for calculating total counts, and to calculate smoothing
class Scorer
{
public:
~Scorer() {}
virtual void score(const std::vector<double>&, std::vector<double>&) const = 0;
virtual void createSmoothing(const std::vector<double>&, double, std::vector<double>&) const = 0;
virtual void createConstSmoothing(double, std::vector<double>&) const = 0;
};
class ScorerMSLR : public Scorer
{
public:
virtual void score(const std::vector<double>&, std::vector<double>&) const;
virtual void createSmoothing(const std::vector<double>&, double, std::vector<double>&) const;
virtual void createConstSmoothing(double, std::vector<double>&) const;
};
class ScorerMSD : public Scorer
{
public:
virtual void score(const std::vector<double>&, std::vector<double>&) const;
virtual void createSmoothing(const std::vector<double>&, double, std::vector<double>&) const;
virtual void createConstSmoothing(double, std::vector<double>&) const;
};
class ScorerMonotonicity : public Scorer
{
public:
virtual void score(const std::vector<double>&, std::vector<double>&) const;
virtual void createSmoothing(const std::vector<double>&, double, std::vector<double>&) const;
virtual void createConstSmoothing(double, std::vector<double>&) const;
};
class ScorerLR : public Scorer
{
public:
virtual void score(const std::vector<double>&, std::vector<double>&) const;
virtual void createSmoothing(const std::vector<double>&, double, std::vector<double>&) const;
virtual void createConstSmoothing(double, std::vector<double>&) const;
};
//Class for representing each model
//Contains a modelscore and scorer (which can be of different model types (mslr, msd...)),
//and file handling.
//This class also keeps track of bidirectionality, and which language to condition on
class Model
{
private:
ModelScore* modelscore;
Scorer* scorer;
std::FILE* file;
std::string filename;
bool fe;
bool previous;
bool next;
std::vector<double> smoothing_prev;
std::vector<double> smoothing_next;
static void split_config(const std::string& config, std::string& dir,
std::string& lang, std::string& orient);
public:
Model(ModelScore* ms, Scorer* sc, const std::string& dir,
const std::string& lang, const std::string& fn);
~Model();
static Model* createModel(ModelScore*, const std::string&, const std::string&);
void createSmoothing(double w);
void createConstSmoothing(double w);
void score_fe(const std::string& f, const std::string& e);
void score_f(const std::string& f);
void zipFile();
};
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