/// <summary>
///
/// </summary>
/// <param name="pos"></param>
/// <returns>Return list of option for searching relatedness correspond to pos
/// E.g hypo, hyper of noun
/// tropo of verb.
/// </returns>
public static Opt[] GetRelatedness(PartsOfSpeech pos)
{
switch (pos)
{
case Wnlib.PartsOfSpeech.Noun:
{
Opt[] NOUN_RELATEDNESS = new Opt[] { Opt.at(8), //hyper
Opt.at(14), //holo
Opt.at(19), //mero
Opt.at(12) //hypo
};
return NOUN_RELATEDNESS;
}
case Wnlib.PartsOfSpeech.Verb:
{
Opt[] VERB_RELATEDNESS = new Opt[] {
Opt.at(31),//hyper
Opt.at(36)//tropo // may be 38
};
return VERB_RELATEDNESS;
}
case Wnlib.PartsOfSpeech.Adj:
{
Opt[] ADJECTIVE_RELATEDNESS = new Opt[] {
Opt.at(0)
};
return ADJECTIVE_RELATEDNESS;
}
case Wnlib.PartsOfSpeech.Adv:
{
Opt[] ADVEB_RELATEDNESS = new Opt[] {
Opt.at(48)
};
return ADVEB_RELATEDNESS;
}
};
return null;
}
/// <summary>
///
/// </summary>
/// <param name="word"></param>
/// <param name="senseIndex"></param>
/// <param name="relatenessSearchTypes"></param>
/// <returns></returns>
public static string[][] GetRelatednessGlosses(string word, int senseNumber, Opt[] relatednessTypes)
{
string[][] relations = new string[relatednessTypes.Length + 1][];
for (int i = 0; i < relatednessTypes.Length; i++)
{
Opt relateness = relatednessTypes[i];
Search se = new Search(word, true, relateness.pos, relateness.sch, senseNumber);//
if (se.senses != null && se.senses.Count > 0)
{
if (relations[0] == null)
relations[0] = GetSynsetDefinition(se.senses[0]);
if (se.senses[0].senses != null)
relations[i + 1] = GetAllDefinitionTokens(se);
}
else relations[i + 1] = null;
}
return relations;
}
/// <summary>
/// This function is to retrieve all relatedness information of given word, which
/// will be used for the WSD task or a lesk relatedness measurement.
/// </summary>
/// <param name="word"> entry word</param>
/// <param name="senseCount"> total sense of this word</param>
/// <param name="relatednessTypes"> searching for relatedness that is specific partOfSpeech of given word</param>
/// <returns>Return a three dimensions array:
/// 1. SenseIndex.
/// 2. Kind of relatedness. e.g : Hypernymy, Holonymy
/// 3. Tokens list.
/// </returns>
public static string[][][] GetAllRelatednessData(string word, int senseCount, Opt[] relatednessTypes)
{
if (relatednessTypes == null) return null;
string[][][] matrix = new string[senseCount][][];
for (int i = 0; i < senseCount; i++)
{
matrix[i] = GetRelatednessGlosses(word, i + 1, relatednessTypes);
}
return matrix;
}