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#include "ter.h"
#include <cstdio>
#include <cassert>
#include <iostream>
#include <limits>
#include <sstream>
#include <tr1/unordered_map>
#include <set>
#include <valarray>
#include <boost/functional/hash.hpp>
#include "tdict.h"
const bool ter_use_average_ref_len = true;
const int ter_short_circuit_long_sentences = -1;
using namespace std;
using namespace std::tr1;
struct COSTS {
static const float substitution;
static const float deletion;
static const float insertion;
static const float shift;
};
const float COSTS::substitution = 1.0f;
const float COSTS::deletion = 1.0f;
const float COSTS::insertion = 1.0f;
const float COSTS::shift = 1.0f;
static const int MAX_SHIFT_SIZE = 10;
static const int MAX_SHIFT_DIST = 50;
struct Shift {
unsigned int d_;
Shift() : d_() {}
Shift(int b, int e, int m) : d_() {
begin(b);
end(e);
moveto(m);
}
inline int begin() const {
return d_ & 0x3ff;
}
inline int end() const {
return (d_ >> 10) & 0x3ff;
}
inline int moveto() const {
int m = (d_ >> 20) & 0x7ff;
if (m > 1024) { m -= 1024; m *= -1; }
return m;
}
inline void begin(int b) {
d_ &= 0xfffffc00u;
d_ |= (b & 0x3ff);
}
inline void end(int e) {
d_ &= 0xfff003ffu;
d_ |= (e & 0x3ff) << 10;
}
inline void moveto(int m) {
bool neg = (m < 0);
if (neg) { m *= -1; m += 1024; }
d_ &= 0xfffff;
d_ |= (m & 0x7ff) << 20;
}
};
class TERScorerImpl {
public:
enum TransType { MATCH, SUBSTITUTION, INSERTION, DELETION };
explicit TERScorerImpl(const vector<WordID>& ref) : ref_(ref) {
for (int i = 0; i < ref.size(); ++i)
rwexists_.insert(ref[i]);
}
float Calculate(const vector<WordID>& hyp, int* subs, int* ins, int* dels, int* shifts) const {
return CalculateAllShifts(hyp, subs, ins, dels, shifts);
}
inline int GetRefLength() const {
return ref_.size();
}
private:
vector<WordID> ref_;
set<WordID> rwexists_;
typedef unordered_map<vector<WordID>, set<int>, boost::hash<vector<WordID> > > NgramToIntsMap;
mutable NgramToIntsMap nmap_;
static float MinimumEditDistance(
const vector<WordID>& hyp,
const vector<WordID>& ref,
vector<TransType>* path) {
vector<vector<TransType> > bmat(hyp.size() + 1, vector<TransType>(ref.size() + 1, MATCH));
vector<vector<float> > cmat(hyp.size() + 1, vector<float>(ref.size() + 1, 0));
for (int i = 0; i <= hyp.size(); ++i)
cmat[i][0] = i;
for (int j = 0; j <= ref.size(); ++j)
cmat[0][j] = j;
for (int i = 1; i <= hyp.size(); ++i) {
const WordID& hw = hyp[i-1];
for (int j = 1; j <= ref.size(); ++j) {
const WordID& rw = ref[j-1];
float& cur_c = cmat[i][j];
TransType& cur_b = bmat[i][j];
if (rw == hw) {
cur_c = cmat[i-1][j-1];
cur_b = MATCH;
} else {
cur_c = cmat[i-1][j-1] + COSTS::substitution;
cur_b = SUBSTITUTION;
}
float cwoi = cmat[i-1][j];
if (cur_c > cwoi + COSTS::insertion) {
cur_c = cwoi + COSTS::insertion;
cur_b = INSERTION;
}
float cwod = cmat[i][j-1];
if (cur_c > cwod + COSTS::deletion) {
cur_c = cwod + COSTS::deletion;
cur_b = DELETION;
}
}
}
// trace back along the best path and record the transition types
path->clear();
int i = hyp.size();
int j = ref.size();
while (i > 0 || j > 0) {
if (j == 0) {
--i;
path->push_back(INSERTION);
} else if (i == 0) {
--j;
path->push_back(DELETION);
} else {
TransType t = bmat[i][j];
path->push_back(t);
switch (t) {
case SUBSTITUTION:
case MATCH:
--i; --j; break;
case INSERTION:
--i; break;
case DELETION:
--j; break;
}
}
}
reverse(path->begin(), path->end());
return cmat[hyp.size()][ref.size()];
}
void BuildWordMatches(const vector<WordID>& hyp, NgramToIntsMap* nmap) const {
nmap->clear();
set<WordID> exists_both;
for (int i = 0; i < hyp.size(); ++i)
if (rwexists_.find(hyp[i]) != rwexists_.end())
exists_both.insert(hyp[i]);
for (int start=0; start<ref_.size(); ++start) {
if (exists_both.find(ref_[start]) == exists_both.end()) continue;
vector<WordID> cp;
int mlen = min(MAX_SHIFT_SIZE, static_cast<int>(ref_.size() - start));
for (int len=0; len<mlen; ++len) {
if (len && exists_both.find(ref_[start + len]) == exists_both.end()) break;
cp.push_back(ref_[start + len]);
(*nmap)[cp].insert(start);
}
}
}
static void PerformShift(const vector<WordID>& in,
int start, int end, int moveto, vector<WordID>* out) {
// cerr << "ps: " << start << " " << end << " " << moveto << endl;
out->clear();
if (moveto == -1) {
for (int i = start; i <= end; ++i)
out->push_back(in[i]);
for (int i = 0; i < start; ++i)
out->push_back(in[i]);
for (int i = end+1; i < in.size(); ++i)
out->push_back(in[i]);
} else if (moveto < start) {
for (int i = 0; i <= moveto; ++i)
out->push_back(in[i]);
for (int i = start; i <= end; ++i)
out->push_back(in[i]);
for (int i = moveto+1; i < start; ++i)
out->push_back(in[i]);
for (int i = end+1; i < in.size(); ++i)
out->push_back(in[i]);
} else if (moveto > end) {
for (int i = 0; i < start; ++i)
out->push_back(in[i]);
for (int i = end+1; i <= moveto; ++i)
out->push_back(in[i]);
for (int i = start; i <= end; ++i)
out->push_back(in[i]);
for (int i = moveto+1; i < in.size(); ++i)
out->push_back(in[i]);
} else {
for (int i = 0; i < start; ++i)
out->push_back(in[i]);
for (int i = end+1; (i < in.size()) && (i <= end + (moveto - start)); ++i)
out->push_back(in[i]);
for (int i = start; i <= end; ++i)
out->push_back(in[i]);
for (int i = (end + (moveto - start))+1; i < in.size(); ++i)
out->push_back(in[i]);
}
if (out->size() != in.size()) {
cerr << "ps: " << start << " " << end << " " << moveto << endl;
cerr << "in=" << TD::GetString(in) << endl;
cerr << "out=" << TD::GetString(*out) << endl;
}
assert(out->size() == in.size());
// cerr << "ps: " << TD::GetString(*out) << endl;
}
void GetAllPossibleShifts(const vector<WordID>& hyp,
const vector<int>& ralign,
const vector<bool>& herr,
const vector<bool>& rerr,
const int min_size,
vector<vector<Shift> >* shifts) const {
for (int start = 0; start < hyp.size(); ++start) {
vector<WordID> cp(1, hyp[start]);
NgramToIntsMap::iterator niter = nmap_.find(cp);
if (niter == nmap_.end()) continue;
bool ok = false;
int moveto;
for (set<int>::iterator i = niter->second.begin(); i != niter->second.end(); ++i) {
moveto = *i;
int rm = ralign[moveto];
ok = (start != rm &&
(rm - start) < MAX_SHIFT_DIST &&
(start - rm - 1) < MAX_SHIFT_DIST);
if (ok) break;
}
if (!ok) continue;
cp.clear();
for (int end = start + min_size - 1;
ok && end < hyp.size() && end < (start + MAX_SHIFT_SIZE); ++end) {
cp.push_back(hyp[end]);
vector<Shift>& sshifts = (*shifts)[end - start];
ok = false;
NgramToIntsMap::iterator niter = nmap_.find(cp);
if (niter == nmap_.end()) break;
bool any_herr = false;
for (int i = start; i <= end && !any_herr; ++i)
any_herr = herr[i];
if (!any_herr) {
ok = true;
continue;
}
for (set<int>::iterator mi = niter->second.begin();
mi != niter->second.end(); ++mi) {
int moveto = *mi;
int rm = ralign[moveto];
if (! ((rm != start) &&
((rm < start) || (rm > end)) &&
(rm - start <= MAX_SHIFT_DIST) &&
((start - rm - 1) <= MAX_SHIFT_DIST))) continue;
ok = true;
bool any_rerr = false;
for (int i = 0; (i <= end - start) && (!any_rerr); ++i)
any_rerr = rerr[moveto+i];
if (!any_rerr) continue;
for (int roff = 0; roff <= (end - start); ++roff) {
int rmr = ralign[moveto+roff];
if ((start != rmr) && ((roff == 0) || (rmr != ralign[moveto])))
sshifts.push_back(Shift(start, end, moveto + roff));
}
}
}
}
}
bool CalculateBestShift(const vector<WordID>& cur,
const vector<WordID>& hyp,
float curerr,
const vector<TransType>& path,
vector<WordID>* new_hyp,
float* newerr,
vector<TransType>* new_path) const {
vector<bool> herr, rerr;
vector<int> ralign;
int hpos = -1;
for (int i = 0; i < path.size(); ++i) {
switch (path[i]) {
case MATCH:
++hpos;
herr.push_back(false);
rerr.push_back(false);
ralign.push_back(hpos);
break;
case SUBSTITUTION:
++hpos;
herr.push_back(true);
rerr.push_back(true);
ralign.push_back(hpos);
break;
case INSERTION:
++hpos;
herr.push_back(true);
break;
case DELETION:
rerr.push_back(true);
ralign.push_back(hpos);
break;
}
}
#if 0
cerr << "RALIGN: ";
for (int i = 0; i < rerr.size(); ++i)
cerr << ralign[i] << " ";
cerr << endl;
cerr << "RERR: ";
for (int i = 0; i < rerr.size(); ++i)
cerr << (bool)rerr[i] << " ";
cerr << endl;
cerr << "HERR: ";
for (int i = 0; i < herr.size(); ++i)
cerr << (bool)herr[i] << " ";
cerr << endl;
#endif
vector<vector<Shift> > shifts(MAX_SHIFT_SIZE + 1);
GetAllPossibleShifts(cur, ralign, herr, rerr, 1, &shifts);
float cur_best_shift_cost = 0;
*newerr = curerr;
vector<TransType> cur_best_path;
vector<WordID> cur_best_hyp;
bool res = false;
for (int i = shifts.size() - 1; i >=0; --i) {
float curfix = curerr - (cur_best_shift_cost + *newerr);
float maxfix = 2.0f * (1 + i) - COSTS::shift;
if ((curfix > maxfix) || ((cur_best_shift_cost == 0) && (curfix == maxfix))) break;
for (int j = 0; j < shifts[i].size(); ++j) {
const Shift& s = shifts[i][j];
curfix = curerr - (cur_best_shift_cost + *newerr);
maxfix = 2.0f * (1 + i) - COSTS::shift; // TODO remove?
if ((curfix > maxfix) || ((cur_best_shift_cost == 0) && (curfix == maxfix))) continue;
vector<WordID> shifted(cur.size());
PerformShift(cur, s.begin(), s.end(), ralign[s.moveto()], &shifted);
vector<TransType> try_path;
float try_cost = MinimumEditDistance(shifted, ref_, &try_path);
float gain = (*newerr + cur_best_shift_cost) - (try_cost + COSTS::shift);
if (gain > 0.0f || ((cur_best_shift_cost == 0.0f) && (gain == 0.0f))) {
*newerr = try_cost;
cur_best_shift_cost = COSTS::shift;
new_path->swap(try_path);
new_hyp->swap(shifted);
res = true;
// cerr << "Found better shift " << s.begin() << "..." << s.end() << " moveto " << s.moveto() << endl;
}
}
}
return res;
}
static void GetPathStats(const vector<TransType>& path, int* subs, int* ins, int* dels) {
*subs = *ins = *dels = 0;
for (int i = 0; i < path.size(); ++i) {
switch (path[i]) {
case SUBSTITUTION:
++(*subs);
case MATCH:
break;
case INSERTION:
++(*ins); break;
case DELETION:
++(*dels); break;
}
}
}
float CalculateAllShifts(const vector<WordID>& hyp,
int* subs, int* ins, int* dels, int* shifts) const {
BuildWordMatches(hyp, &nmap_);
vector<TransType> path;
float med_cost = MinimumEditDistance(hyp, ref_, &path);
float edits = 0;
vector<WordID> cur = hyp;
*shifts = 0;
if (ter_short_circuit_long_sentences < 0 ||
ref_.size() < ter_short_circuit_long_sentences) {
while (true) {
vector<WordID> new_hyp;
vector<TransType> new_path;
float new_med_cost;
if (!CalculateBestShift(cur, hyp, med_cost, path, &new_hyp, &new_med_cost, &new_path))
break;
edits += COSTS::shift;
++(*shifts);
med_cost = new_med_cost;
path.swap(new_path);
cur.swap(new_hyp);
}
}
GetPathStats(path, subs, ins, dels);
return med_cost + edits;
}
};
class TERScore : public Score {
friend class TERScorer;
public:
static const unsigned kINSERTIONS = 0;
static const unsigned kDELETIONS = 1;
static const unsigned kSUBSTITUTIONS = 2;
static const unsigned kSHIFTS = 3;
static const unsigned kREF_WORDCOUNT = 4;
static const unsigned kDUMMY_LAST_ENTRY = 5;
TERScore() : stats(0,kDUMMY_LAST_ENTRY) {}
float ComputeScore() const {
float edits = static_cast<float>(stats[kINSERTIONS] + stats[kDELETIONS] + stats[kSUBSTITUTIONS] + stats[kSHIFTS]);
return edits / static_cast<float>(stats[kREF_WORDCOUNT]);
}
void ScoreDetails(string* details) const;
void PlusEquals(const Score& delta) {
stats += static_cast<const TERScore&>(delta).stats;
}
Score* GetZero() const {
return new TERScore;
}
void Subtract(const Score& rhs, Score* res) const {
static_cast<TERScore*>(res)->stats = stats - static_cast<const TERScore&>(rhs).stats;
}
void Encode(std::string* out) const {
ostringstream os;
os << stats[kINSERTIONS] << ' '
<< stats[kDELETIONS] << ' '
<< stats[kSUBSTITUTIONS] << ' '
<< stats[kSHIFTS] << ' '
<< stats[kREF_WORDCOUNT];
*out = os.str();
}
bool IsAdditiveIdentity() const {
for (int i = 0; i < kDUMMY_LAST_ENTRY; ++i)
if (stats[i] != 0) return false;
return true;
}
private:
valarray<int> stats;
};
Score* TERScorer::ScoreFromString(const std::string& data) {
istringstream is(data);
TERScore* r = new TERScore;
is >> r->stats[TERScore::kINSERTIONS]
>> r->stats[TERScore::kDELETIONS]
>> r->stats[TERScore::kSUBSTITUTIONS]
>> r->stats[TERScore::kSHIFTS]
>> r->stats[TERScore::kREF_WORDCOUNT];
return r;
}
void TERScore::ScoreDetails(std::string* details) const {
char buf[200];
sprintf(buf, "TER = %.2f, %3d|%3d|%3d|%3d (len=%d)",
ComputeScore() * 100.0f,
stats[kINSERTIONS],
stats[kDELETIONS],
stats[kSUBSTITUTIONS],
stats[kSHIFTS],
stats[kREF_WORDCOUNT]);
*details = buf;
}
TERScorer::~TERScorer() {
for (vector<TERScorerImpl*>::iterator i = impl_.begin(); i != impl_.end(); ++i)
delete *i;
}
TERScorer::TERScorer(const vector<vector<WordID> >& refs) : impl_(refs.size()) {
for (int i = 0; i < refs.size(); ++i)
impl_[i] = new TERScorerImpl(refs[i]);
}
Score* TERScorer::ScoreCandidate(const std::vector<WordID>& hyp) const {
float best_score = numeric_limits<float>::max();
TERScore* res = new TERScore;
int avg_len = 0;
for (int i = 0; i < impl_.size(); ++i)
avg_len += impl_[i]->GetRefLength();
avg_len /= impl_.size();
for (int i = 0; i < impl_.size(); ++i) {
int subs, ins, dels, shifts;
float score = impl_[i]->Calculate(hyp, &subs, &ins, &dels, &shifts);
// cerr << "Component TER cost: " << score << endl;
if (score < best_score) {
res->stats[TERScore::kINSERTIONS] = ins;
res->stats[TERScore::kDELETIONS] = dels;
res->stats[TERScore::kSUBSTITUTIONS] = subs;
res->stats[TERScore::kSHIFTS] = shifts;
if (ter_use_average_ref_len) {
res->stats[TERScore::kREF_WORDCOUNT] = avg_len;
} else {
res->stats[TERScore::kREF_WORDCOUNT] = impl_[i]->GetRefLength();
}
best_score = score;
}
}
return res;
}
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