public static Edu.Stanford.Nlp.Patterns.CandidatePhrase CreateOrGet(string phrase, string phraseLemma, ICounter <string> features)
{
phrase = phrase.Trim();
if (candidatePhraseMap.Contains(phrase))
{
Edu.Stanford.Nlp.Patterns.CandidatePhrase p = candidatePhraseMap[phrase];
p.phraseLemma = phraseLemma;
//If features are non-empty, add to the current set
if (features != null && features.Size() > 0)
{
if (p.features == null)
{
p.features = new ClassicCounter <string>();
}
p.features.AddAll(features);
}
return(p);
}
else
{
Edu.Stanford.Nlp.Patterns.CandidatePhrase p = new Edu.Stanford.Nlp.Patterns.CandidatePhrase(phrase, phraseLemma, features);
candidatePhraseMap[phrase] = p;
return(p);
}
}
// static void setCandidatePhraseMap(ConcurrentHashMap<String, CandidatePhrase> candmap){
// candidatePhraseMap = candmap;
// }
public static Edu.Stanford.Nlp.Patterns.CandidatePhrase CreateOrGet(string phrase)
{
phrase = phrase.Trim();
if (candidatePhraseMap.Contains(phrase))
{
return(candidatePhraseMap[phrase]);
}
else
{
Edu.Stanford.Nlp.Patterns.CandidatePhrase p = new Edu.Stanford.Nlp.Patterns.CandidatePhrase(phrase);
candidatePhraseMap[phrase] = p;
return(p);
}
}
public static void DeletePhrase(Edu.Stanford.Nlp.Patterns.CandidatePhrase p)
{
Sharpen.Collections.Remove(candidatePhraseMap, p);
}
