1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
|
/*
Copyright (C) 2000,2001 Franz Josef Och (RWTH Aachen - Lehrstuhl fuer Informatik VI)
This file is part of GIZA++ ( extension of GIZA ).
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
USA.
*/
#ifndef transpair_model5_h_fjo_defined
#define transpair_model5_h_fjo_defined
#include "Array2.h"
#include "defs.h"
#include "Vector.h"
#include "NTables.h"
#include "ATables.h"
#include "TTables.h"
#include "alignment.h"
#include "D5Tables.h"
#include "transpair_model4.h"
extern double factorial(int n);
inline int vacancies(const Vector<char>&vac,int u)
{
int n=0;
const char *i=&(vac[0])+1;
const char *end=&(vac[0])+u+1;
while(i<end)
n+= ((*i++)==0);
return n;
}
class transpair_model5 : public transpair_model4
{
private:
const d5model&d5m;
bool doModel4Scoring;
public:
typedef transpair_model3 simpler_transpair_model;
mutable map<Vector<PositionIndex>,LogProb> scores[4];
transpair_model5(const Vector<WordIndex>&es, const Vector<WordIndex>&fs, tmodel<COUNT, PROB>&tTable,
amodel<PROB>&aTable, amodel<PROB>&dTable, nmodel<PROB>&nTable, double _p1, double _p0,
const d5model*_d5m)
: transpair_model4(es, fs, tTable, aTable, dTable, nTable, _p1, _p0,&_d5m->d4m),d5m(*_d5m),doModel4Scoring(0) {}
LogProb scoreOfAlignmentForChange(const alignment&a)const
{
if( doModel4Scoring )
return transpair_model4::prob_of_target_and_alignment_given_source(a,2);
else
return prob_of_target_and_alignment_given_source(a,2);
}
LogProb scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const;
LogProb scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const ;
LogProb _scoreOfMove(const alignment&a, WordIndex new_i, WordIndex j,double thisValue=-1.0)const;
LogProb _scoreOfSwap(const alignment&a, WordIndex j1, WordIndex j2,double thisValue=-1.0)const ;
int modelnr()const{return 5;}
LogProb prob_of_target_and_alignment_given_source(const alignment&al, short distortionType=3,bool verb=0)const;
void computeScores(const alignment&al,vector<double>&d)const;
};
#endif
|
