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#ifndef _RULE_H_
#define _RULE_H_
#include <algorithm>
#include <vector>
#include <cassert>
#include <iostream>
#include <boost/shared_ptr.hpp>
#include "sparse_vector.h"
#include "wordid.h"
class TRule;
typedef boost::shared_ptr<TRule> TRulePtr;
struct AlignmentPoint {
AlignmentPoint() : s_(), t_() {}
AlignmentPoint(int s, int t) : s_(s), t_(t) {}
AlignmentPoint Inverted() const {
return AlignmentPoint(t_, s_);
}
short s_;
short t_;
};
inline std::ostream& operator<<(std::ostream& os, const AlignmentPoint& p) {
return os << '(' << static_cast<int>(p.s_) << '-' << static_cast<int>(p.t_) << ')';
}
// Translation rule
class TRule {
public:
TRule() : lhs_(0), prev_i(-1), prev_j(-1) { }
TRule(WordID lhs, const WordID* src, int src_size, const WordID* trg, int trg_size, const int* feat_ids, const double* feat_vals, int feat_size, int arity, const AlignmentPoint* als, int alsnum) :
e_(trg, trg + trg_size), f_(src, src + src_size), lhs_(lhs), arity_(arity), prev_i(-1), prev_j(-1),
a_(als, als + alsnum) {
for (int i = 0; i < feat_size; ++i)
scores_.set_value(feat_ids[i], feat_vals[i]);
}
bool IsGoal() const;
explicit TRule(const std::vector<WordID>& e) : e_(e), lhs_(0), prev_i(-1), prev_j(-1) {}
TRule(const std::vector<WordID>& e, const std::vector<WordID>& f, const WordID& lhs) :
e_(e), f_(f), lhs_(lhs), prev_i(-1), prev_j(-1) {}
TRule(const TRule& other) :
e_(other.e_), f_(other.f_), lhs_(other.lhs_), scores_(other.scores_), arity_(other.arity_), prev_i(-1), prev_j(-1) {}
// if mono or strict is true, then lexer won't be used, and //FIXME: > 9 variables won't work
explicit TRule(const std::string& text, bool strict = false, bool mono = false) : prev_i(-1), prev_j(-1) {
ReadFromString(text, strict, mono);
}
// deprecated, use lexer
// make a rule from a hiero-like rule table, e.g.
// [X] ||| [X,1] DE [X,2] ||| [X,2] of the [X,1]
// if misformatted, returns NULL
static TRule* CreateRuleSynchronous(const std::string& rule);
// deprecated, use lexer
// make a rule from a phrasetable entry (i.e., one that has no LHS type), e.g:
// el gato ||| the cat ||| Feature_2=0.34
static TRule* CreateRulePhrasetable(const std::string& rule);
// deprecated, use lexer
// make a rule from a non-synchrnous CFG representation, e.g.:
// [LHS] ||| term1 [NT] term2 [OTHER_NT] [YET_ANOTHER_NT]
static TRule* CreateRuleMonolingual(const std::string& rule);
static TRule* CreateLexicalRule(const WordID& src, const WordID& trg) {
return new TRule(src, trg);
}
void ESubstitute(const std::vector<const std::vector<WordID>* >& var_values,
std::vector<WordID>* result) const {
int vc = 0;
result->clear();
for (std::vector<WordID>::const_iterator i = e_.begin(); i != e_.end(); ++i) {
const WordID& c = *i;
if (c < 1) {
++vc;
const std::vector<WordID>& var_value = *var_values[-c];
std::copy(var_value.begin(),
var_value.end(),
std::back_inserter(*result));
} else {
result->push_back(c);
}
}
assert(vc == var_values.size());
}
void FSubstitute(const std::vector<const std::vector<WordID>* >& var_values,
std::vector<WordID>* result) const {
int vc = 0;
result->clear();
for (std::vector<WordID>::const_iterator i = f_.begin(); i != f_.end(); ++i) {
const WordID& c = *i;
if (c < 1) {
const std::vector<WordID>& var_value = *var_values[vc++];
std::copy(var_value.begin(),
var_value.end(),
std::back_inserter(*result));
} else {
result->push_back(c);
}
}
assert(vc == var_values.size());
}
bool ReadFromString(const std::string& line, bool strict = false, bool monolingual = false);
bool Initialized() const { return e_.size(); }
std::string AsString(bool verbose = true) const;
friend std::ostream &operator<<(std::ostream &o,TRule const& r);
static TRule DummyRule() {
TRule res;
res.e_.resize(1, 0);
return res;
}
const std::vector<WordID>& f() const { return f_; }
const std::vector<WordID>& e() const { return e_; }
const std::vector<AlignmentPoint>& als() const { return a_; }
int EWords() const { return ELength() - Arity(); }
int FWords() const { return FLength() - Arity(); }
int FLength() const { return f_.size(); }
int ELength() const { return e_.size(); }
int Arity() const { return arity_; }
bool IsUnary() const { return (Arity() == 1) && (f_.size() == 1); }
const SparseVector<double>& GetFeatureValues() const { return scores_; }
double Score(int i) const { return scores_.get(i); }
WordID GetLHS() const { return lhs_; }
void ComputeArity();
// 0 = first variable, -1 = second variable, -2 = third ..., i.e. tail_nodes_[-w] if w<=0, TD::Convert(w) otherwise
std::vector<WordID> e_;
// < 0: *-1 = encoding of category of variable
std::vector<WordID> f_;
WordID lhs_;
SparseVector<double> scores_;
char arity_;
// these attributes are application-specific and should probably be refactored
TRulePtr parent_rule_; // usually NULL, except when doing constrained decoding
// this is only used when doing synchronous parsing
short int prev_i;
short int prev_j;
std::vector<AlignmentPoint> a_; // alignment points, may be empty
// only for coarse-to-fine decoding
boost::shared_ptr<std::vector<TRulePtr> > fine_rules_;
private:
TRule(const WordID& src, const WordID& trg) : e_(1, trg), f_(1, src), lhs_(), arity_(), prev_i(), prev_j() {}
bool SanityCheck() const;
};
#endif
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