public virtual ProbableStrength Describes(PhraseSense sense)
{
ProbableStrength total = new ProbableStrength(0, 0);
double strengthFactor = total.ImproveStrengthStart();
foreach (PhraseAttribute attribute in sense.Attributes)
{
total.ImproveStrength(Match(attribute), ref strengthFactor);
}
if (strengthFactor == 0)
{
// do we match subphrases then?
foreach (InformedPhrase subphrase in sense.Phrases)
{
total.ImproveStrength(Describes(subphrase).DownWeight(1.0 / sense.Phrases.Count), ref strengthFactor);
}
}
if (strengthFactor == 0)
{
// We never found an appropriate attribute-- so guess!
List <KeyValuePair <PhraseSense, double> > senses = new List <KeyValuePair <PhraseSense, double> >();
senses.Add(new KeyValuePair <PhraseSense, double>(sense, 1.0));
InformedPhrase dummy = new InformedPhrase(sense.Name(), senses);
ProbableStrength result = Match(Guess(dummy));
total.ImproveStrength(result, ref strengthFactor);
}
total.ImproveStrengthFinish(strengthFactor);
return(total);
}
public virtual ProbableStrength Describes(PhraseSense sense)
{
ProbableStrength total = new ProbableStrength(0, 0);
double strengthFactor = total.ImproveStrengthStart();
foreach (PhraseAttribute attribute in sense.Attributes)
total.ImproveStrength(Match(attribute), ref strengthFactor);
if (strengthFactor == 0)
{
// do we match subphrases then?
foreach (InformedPhrase subphrase in sense.Phrases)
total.ImproveStrength(Describes(subphrase).DownWeight(1.0 / sense.Phrases.Count), ref strengthFactor);
}
if (strengthFactor == 0)
{
// We never found an appropriate attribute-- so guess!
List<KeyValuePair<PhraseSense, double>> senses = new List<KeyValuePair<PhraseSense, double>>();
senses.Add(new KeyValuePair<PhraseSense,double>(sense, 1.0));
InformedPhrase dummy = new InformedPhrase(sense.Name(), senses);
ProbableStrength result = Match(Guess(dummy));
total.ImproveStrength(result, ref strengthFactor);
}
total.ImproveStrengthFinish(strengthFactor);
return total;
}
// Given a noun phrase sense
public void GenderInform(PhraseSense sense, IWordLookup informer)
{
// Drill down to the first noun word, looking for a current attribute
PhraseSense first = sense;
GenderAttribute bypart = (GenderAttribute)first.FindAttribute(typeof(GenderAttribute));
while (bypart == null)
{
// Find a noun sub-phrase
PhraseSense next = null;
foreach (InformedPhrase subfirst in first.Phrases)
{
foreach (KeyValuePair <PhraseSense, double> firstsense in subfirst.Senses)
{
if (nounparts.Contains(firstsense.Key.SpeechPart()))
{
next = firstsense.Key;
break;
}
}
if (next != null)
{
break;
}
}
if (next == null)
{
break;
}
bypart = (GenderAttribute)next.FindAttribute(typeof(GenderAttribute));
if (next.Phrases.Count == 0)
{
break;
}
first = next;
}
if (first.SpeechPart() != SpeechPart.ProperNoun)
{
if (bypart != null && bypart.Strength.weight > 0.5)
{
return; // we seem to know!
}
List <string> words;
if (first.Phrases.Count > 0)
{
words = first.Phrases[0].Generate();
}
else
{
words = new List <string>();
words.Add(first.Name());
}
if (informer.GetWeight(words[0], false) < 0.5)
{
return; // not worth the lookup
}
if (bypart == null)
{
GenderAttribute dummy = new GenderAttribute();
bypart = (GenderAttribute)dummy.Guess(sense.Phrases[0]);
}
}
// Now guess using the given name
InformedPhrase tocheck;
if (first.Phrases.Count > 0)
{
tocheck = first.Phrases[0];
}
else
{
List <KeyValuePair <PhraseSense, double> > senses = new List <KeyValuePair <PhraseSense, double> >();
senses.Add(new KeyValuePair <PhraseSense, double>(first, 1.0));
tocheck = new InformedPhrase(sense.Name(), senses);
}
GenderAttribute gender = GuessGender(tocheck, informer);
if (bypart != null)
{
gender = MergeGenderAttributes(gender, bypart);
}
// Update relevant gender attributes
sense.AddOrUpdateAttribute(gender);
if (sense != first)
{
first.AddOrUpdateAttribute(gender);
}
}