blob: 800a3caf1611d1dd224ca2599bef4a529b611082 (
plain)
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
|
#ifndef __PERSCORER_H__
#define __PERSCORER_H__
#include <iostream>
#include <set>
#include <sstream>
#include <string>
#include <vector>
#include "Types.h"
#include "Scorer.h"
using namespace std;
class ScoreStats;
/**
* An implementation of position-independent word error rate.
* This is defined as
* 1 - (correct - max(0,output_length - ref_length)) / ref_length
* In fact, we ignore the " 1 - " so that it can be maximised.
*/
class PerScorer: public StatisticsBasedScorer
{
public:
explicit PerScorer(const string& config = "");
~PerScorer();
virtual void setReferenceFiles(const vector<string>& referenceFiles);
virtual void prepareStats(size_t sid, const string& text, ScoreStats& entry);
virtual void whoami() const {
cerr << "I AM PerScorer" << std::endl;
}
virtual size_t NumberOfScores() const {
// cerr << "PerScorer: 3" << endl;
return 3;
}
virtual float calculateScore(const vector<int>& comps) const;
private:
// no copying allowed
PerScorer(const PerScorer&);
PerScorer& operator=(const PerScorer&);
// data extracted from reference files
vector<size_t> _reflengths;
vector<multiset<int> > _reftokens;
};
#endif // __PERSCORER_H__
|