private string[] PosTagTokens(string[] tokens)
{
if (mPosTagger == null)
{
mPosTagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger(mModelPath + @"\EnglishPOS.nbin", mModelPath + @"\Parser\tagdict");
}
return(mPosTagger.Tag(tokens));
}
/// <summary>
/// Tag each word with a part of speech
/// </summary>
/// <param name="tokens"></param>
/// <returns></returns>
public string[] PosTagTokens(string[] tokens)
{
if (posTagger == null)
{
posTagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger(modelPath + "EnglishPOS.nbin", modelPath + @"\Parser\tagdict");
}
return posTagger.Tag(tokens);
}
public IEnumerable <Tuple <string, string> > Tag(string input)
{
var tokens = Tokenize(input).Distinct().ToArray();
var tagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger("Resources/EnglishPOS.nbin", "Resources/tagdict");
var tags = tagger.Tag(tokens);
return(tokens.Zip(tags, (s, s1) => new Tuple <string, string>(s, s1)));
}
private List <Word> PosTagTokens(string[] tokens)
{
if (mPosTagger == null)
{
mPosTagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger(mModelPath + "EnglishPOS.nbin", mModelPath + @"\Parser\tagdict");
}
string[] Tags = mPosTagger.Tag(tokens);
List <Word> lstWords = new List <Word>();
for (int i = 0; i < tokens.Length; i++)
{
Word wd = new Word();
wd.Key = tokens[i];
wd.Tag = Tags[i];
lstWords.Add(wd);
}
return(lstWords);
}
private string[] PosTagTokens(string[] tokens)
{
if (mPosTagger == null)
{
mPosTagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger(Path.Combine(mModelPath, "EnglishPOS.nbin"), Path.Combine(mParserPath, "tagdict"));
}
return mPosTagger.Tag(tokens);
}
private string[] PosTagTokens(string[] tokens)
{
if (_posTagger == null)
{
_posTagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger(_modelPath + "EnglishPOS.nbin", _modelPath + @"\Parser\tagdict");
}
return _posTagger.Tag(tokens);
}
