private int compareByEnsemble(CSpellScore o1, CSpellScore o2)
{
int @out = 0;
OrthographicScore oScore1 = ((CSpellScore)o1).GetOScore();
OrthographicScore oScore2 = ((CSpellScore)o2).GetOScore();
FrequencyScore fScore1 = ((CSpellScore)o1).GetFScore();
FrequencyScore fScore2 = ((CSpellScore)o2).GetFScore();
ContextScore cScore1 = ((CSpellScore)o1).GetCScore();
ContextScore cScore2 = ((CSpellScore)o2).GetCScore();
double score1 = 0.6 * oScore1.GetScore() + 0.25 * fScore1.GetScore() + 0.15 * cScore1.GetScore();
double score2 = 0.6 * oScore2.GetScore() + 0.25 * fScore2.GetScore() + 0.15 * cScore2.GetScore();
// 1. compared by orthographic score, best
// SCR-2: use a fixed number to ensure result is not 0.
if (score2 > score1)
{
// from high to low
@out = 1;
}
else if (score2 < score1)
{
@out = -1;
}
// 2. alphabetic order
else
{
string cand1 = ((CSpellScore)o1).GetCandStr();
string cand2 = ((CSpellScore)o2).GetCandStr();
@out = cand2.CompareTo(cand1);
}
return(@out);
}
// private methods
private static bool IsTopCandValidByScores(ContextScore orgContextScore, FrequencyScore orgFreqScore, ContextScore topContextScore, CSpellScore topCSpellScore, CSpellApi cSpellApi)
{
// init
bool flag = false;
double rw1To1CandCsFactor = cSpellApi.GetRankRw1To1CandCsFac();
double rw1To1WordMinCs = cSpellApi.GetRankRw1To1WordMinCs();
double rw1To1CandMinCs = cSpellApi.GetRankRw1To1CandMinCs();
double rw1To1CandCsDist = cSpellApi.GetRankRw1To1CandCsDist();
double rw1To1CandFsFactor = cSpellApi.GetRankRw1To1CandFsFac();
double rw1To1CandMinFs = cSpellApi.GetRankRw1To1CandMinFs();
double rw1To1CandFsDist = cSpellApi.GetRankRw1To1CandFsDist();
double orgScore = orgContextScore.GetScore();
double topScore = topContextScore.GetScore();
// another rule for word2Vec on real-word
// check contect score:
// 1. the topScore is bigger enough to cover the orgScore
// 2. the distance is > a value for confidence
if (((topScore / -orgScore) > rw1To1CandCsFactor) && (orgScore > rw1To1WordMinCs) && (topScore > rw1To1CandMinCs) && ((topScore - orgScore) > rw1To1CandCsDist)) //609|796|0.6920
// check frequency, all positive:
// 1. cand has better frequency
// 2. the difference is withint a range
{
double orgFScore = orgFreqScore.GetScore();
double topFScore = topCSpellScore.GetFScore().GetScore();
if (((topFScore / orgFScore) > rw1To1CandFsFactor) && (topFScore > rw1To1CandMinFs) && ((topFScore > orgFScore) || ((orgFScore - topFScore) < rw1To1CandFsDist))) // within freq range
{
flag = true;
}
}
return(flag);
}
/// <summary>
/// Compare two object o1 and o2. Both objects o1 and o2 are
/// NoisyChannelScore. The compare algorithm:
/// </summary>
/// <param name="o1"> first object to be compared </param>
/// <param name="o2"> second object to be compared
/// </param>
/// <returns> a negative integer, 0, or positive integer to represent the
/// object o1 is less, equals, or greater than object 02. </returns>
public virtual int Compare(NoisyChannelScore o1, NoisyChannelScore o2)
{
// 1. compare how many words for the candidates
// for now, we assume less word is better,
// i.e. whatever is better than "what ever"
int @out = 0;
string cand1 = ((NoisyChannelScore)o1).GetCandStr();
string cand2 = ((NoisyChannelScore)o2).GetCandStr();
int wordNo1 = TermUtil.GetWordNo(cand1);
int wordNo2 = TermUtil.GetWordNo(cand2);
if (wordNo1 != wordNo2)
{
@out = wordNo1 - wordNo2; // less wordNo has higher rank
}
else
{
// 2. compare noisy Channel score
double score1 = ((NoisyChannelScore)o1).GetScore();
double score2 = ((NoisyChannelScore)o2).GetScore();
// SCR-2: use a fixed number to ensure result is not 0.
if (score2 > score1)
{
// from high to low
@out = 1;
}
else if (score2 < score1)
{
@out = -1;
}
else
{
// 3. compare by orthographic score
OrthographicScore oScore1 = ((NoisyChannelScore)o1).GetOScore();
OrthographicScore oScore2 = ((NoisyChannelScore)o2).GetOScore();
if (oScore1.GetScore() != oScore2.GetScore())
{
OrthographicScoreComparator <OrthographicScore> osc = new OrthographicScoreComparator <OrthographicScore>();
@out = osc.Compare(oScore1, oScore2);
}
else // 4. hannelScore
{
FrequencyScore fScore1 = ((NoisyChannelScore)o1).GetFScore();
FrequencyScore fScore2 = ((NoisyChannelScore)o2).GetFScore();
if (fScore1.GetScore() != fScore2.GetScore())
{
FrequencyScoreComparator <FrequencyScore> fsc = new FrequencyScoreComparator <FrequencyScore>();
@out = fsc.Compare(fScore1, fScore2);
}
else // 4. alphabetic order
{
@out = cand2.CompareTo(cand1);
}
}
}
}
return(@out);
}
// private constructor
public NoisyChannelScore(string wordStr, string candStr, WordWcMap wordWcMap, double wf1, double wf2, double wf3)
{
wordStr_ = wordStr;
candStr_ = candStr;
// calculate score
oScore_ = new OrthographicScore(wordStr_, candStr_, wf1, wf2, wf3);
fScore_ = new FrequencyScore(candStr_, wordWcMap);
score_ = oScore_.GetScore() * fScore_.GetScore();
}
// return the best ranked str from candidates using frequency score
public static string GetTopRankStrByScore(HashSet <string> candidates, WordWcMap wordWcMap)
{
string topRankStr = "";
double maxScore = 0.0;
foreach (string cand in candidates)
{
FrequencyScore fs = new FrequencyScore(cand, wordWcMap);
double score = fs.GetScore();
if (score > maxScore)
{
topRankStr = cand;
maxScore = score;
}
}
return(topRankStr);
}
// by combination, O, N, F, C
private int compareByCombo(CSpellScore o1, CSpellScore o2)
{
int @out = 0;
OrthographicScore oScore1 = ((CSpellScore)o1).GetOScore();
OrthographicScore oScore2 = ((CSpellScore)o2).GetOScore();
NoisyChannelScore nScore1 = ((CSpellScore)o1).GetNScore();
NoisyChannelScore nScore2 = ((CSpellScore)o2).GetNScore();
FrequencyScore fScore1 = ((CSpellScore)o1).GetFScore();
FrequencyScore fScore2 = ((CSpellScore)o2).GetFScore();
ContextScore cScore1 = ((CSpellScore)o1).GetCScore();
ContextScore cScore2 = ((CSpellScore)o2).GetCScore();
// 1. compared by orthographic score, best
if (oScore1.GetScore() != oScore2.GetScore())
{
OrthographicScoreComparator <OrthographicScore> osc = new OrthographicScoreComparator <OrthographicScore>();
@out = osc.Compare(oScore1, oScore2);
}
// 2. compared by noise channel score, 2nd best
else if (nScore1.GetScore() != nScore2.GetScore())
{
NoisyChannelScoreComparator <NoisyChannelScore> nsc = new NoisyChannelScoreComparator <NoisyChannelScore>();
@out = nsc.Compare(nScore1, nScore2);
}
// 3. compared by pure frequency score, 3rd best
else if (fScore1.GetScore() != fScore2.GetScore())
{
FrequencyScoreComparator <FrequencyScore> fsc = new FrequencyScoreComparator <FrequencyScore>();
@out = fsc.Compare(fScore1, fScore2);
}
// 4. compared by context score, 4 last
else if (cScore1.GetScore() != cScore2.GetScore())
{
ContextScoreComparator <ContextScore> csc = new ContextScoreComparator <ContextScore>();
@out = csc.Compare(cScore1, cScore2);
}
// 5. alphabetic order
else
{
string cand1 = ((CSpellScore)o1).GetCandStr();
string cand2 = ((CSpellScore)o2).GetCandStr();
@out = cand2.CompareTo(cand1);
}
return(@out);
}
private int compareByFrequency(CSpellScore o1, CSpellScore o2)
{
int @out = 0;
FrequencyScore fScore1 = ((CSpellScore)o1).GetFScore();
FrequencyScore fScore2 = ((CSpellScore)o2).GetFScore();
// 1. compared by context score, 4 last
if (fScore1.GetScore() != fScore2.GetScore())
{
FrequencyScoreComparator <FrequencyScore> fsc = new FrequencyScoreComparator <FrequencyScore>();
@out = fsc.Compare(fScore1, fScore2);
}
// 2. alphabetic order
else
{
string cand1 = ((CSpellScore)o1).GetCandStr();
string cand2 = ((CSpellScore)o2).GetCandStr();
@out = cand2.CompareTo(cand1);
}
return(@out);
}