// Try to determine if this is any kind of given name
public ProbableStrength IsGivenName(IWordLookup informer, string word)
{
word = word.ToLower();
// Try to look it up in me
string nametype = null;
if (TryGetValue(word, out nametype))
{
return(ProbableStrength.Full);
}
double weight = informer.GetWeight(word, false);
return(new ProbableStrength(weight * weight, 0.5));
}
public static ProbableStrength SeemsReferee(InformedPhrase phrase, IWordLookup informer, ProbableStrength anaphora)
{
List <string> words = phrase.Generate();
double weight = 0;
foreach (string word in words)
{
weight += informer.GetWeight(word, false);
}
/* words weight result
* 1 0 0
* 1 1 1
* 2 0 0
* 2 .5 .4
* 2 1 2/3
* 2 1.5 .86
* 2 2 1
* 3 .5 .3
* 3 1 .5
* 3 2 .8
*/
double myweight = 2.0 * weight / (words.Count + weight);
if (words.Count == 1)
{
myweight /= 2.0; // down-score 1-word answers
}
if (words.Count > 2)
{
myweight /= Math.Log(words.Count);
}
ProbableStrength notanaphora = anaphora.InverseProbability();
return(new ProbableStrength(Math.Sqrt(myweight * notanaphora.strength), notanaphora.weight + .5 - notanaphora.weight * .5));
}
// 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);
}
}
public static ProbableStrength SeemsReferee(InformedPhrase phrase, IWordLookup informer, ProbableStrength anaphora)
{
List<string> words = phrase.Generate();
double weight = 0;
foreach (string word in words)
weight += informer.GetWeight(word, false);
/* words weight result
* 1 0 0
* 1 1 1
* 2 0 0
* 2 .5 .4
* 2 1 2/3
* 2 1.5 .86
* 2 2 1
* 3 .5 .3
* 3 1 .5
* 3 2 .8
*/
double myweight = 2.0 * weight / (words.Count + weight);
if (words.Count == 1)
myweight /= 2.0; // down-score 1-word answers
if (words.Count > 2)
myweight /= Math.Log(words.Count);
ProbableStrength notanaphora = anaphora.InverseProbability();
return new ProbableStrength(Math.Sqrt(myweight * notanaphora.strength), notanaphora.weight + .5 - notanaphora.weight * .5);
}
