public PosBeamSearch(MaximumEntropyPosTagger posTagger, int size, IPosContextGenerator contextGenerator, SharpEntropy.IMaximumEntropyModel model, int cacheSize)
: base(size, contextGenerator, model, cacheSize)
{
mMaxentPosTagger = posTagger;
}
public PosBeamSearch(MaximumEntropyPosTagger posTagger, int size, IPosContextGenerator contextGenerator, SharpEntropy.IMaximumEntropyModel model, int cacheSize) :
base(size, contextGenerator, model, cacheSize)
{
_maxentPosTagger = posTagger;
}
public Ranker(string query)
{
if (tagger == null)
tagger = new MaximumEntropyPosTagger(new GisModel(new SharpEntropy.IO.BinaryGisModelReader(ModelLocation)), new DefaultPosContextGenerator(), new PosLookupList(dictionaryLocation));
Regex r = new Regex("[\\[\\]\\(\\)\\{\\}'\"\\?\\*\\+\\.\\|\\^,]", RegexOptions.IgnoreCase);
// retaining the case for tagging
this.queryTags = tagger.Tag(query.Split(' ')).ToList<string>();
this.query = query.ToLower();
queryWords = r.Replace(this.query, "").Split(' ').ToList<string>();
this.relevantQueryTerms = this.queryWords.Where((s, i) => !Ranker.irrelevantTags.Contains(this.queryTags[i])).ToList<string>();
// setting the
Wnlib.WNCommon.path = WordNetPath;
}
