public List <SynResult> GetSynonym(string strQuery, int begin, int len)
{
List <SynResult> synRstList = new List <SynResult>();
//Get candidate synonym term
string strTerm = strQuery.Substring(begin, len);
//Word breaking strQuery
string strWBQuery = WordSegment(strQuery);
//Get sentence probability by language model
//Call RNN language model
RnnLMResult lmResult_rnn = lmDecoder_rnn.GetSentProb(strWBQuery);
//Call Ngram language model
LMDecoder.LMResult lmResult = lmDecoder.GetSentProb(strWBQuery, lmOrder);
SynResult synRst = new SynResult();
synRst.strTerm = strTerm;
synRst.lmScore = (int)(lmResult.perplexity / 1.0);
synRst.lmScore_rnn = (int)(lmResult_rnn.perplexity / 1.0);
synRst.llr = -1.0;
synRstList.Add(synRst);
if (synPair.ContainsKey(strTerm) == false)
{
return(synRstList);
}
string strLCtx = strQuery.Substring(0, begin);
string strRCtx = strQuery.Substring(begin + len);
foreach (SynContextSet ctx in synPair[strTerm])
{
//Replace the term with its synonym term
string strText = strLCtx + ctx.strTerm + strRCtx;
//Word breaking strQuery
strWBQuery = WordSegment(strText);
//Get sentence probability by language model
//Call RNN language model
lmResult_rnn = lmDecoder_rnn.GetSentProb(strWBQuery);
//Call ngram language model
lmResult = lmDecoder.GetSentProb(strWBQuery, lmOrder);
synRst = new SynResult();
synRst.strTerm = ctx.strTerm;
synRst.lmScore = (int)(lmResult.perplexity / 1.0);
synRst.lmScore_rnn = (int)(lmResult_rnn.perplexity / 1.0);
synRst.llr = ctx.llr;
synRstList.Add(synRst);
}
synRstList.Sort(CompareLMResult);
return(synRstList);
}
public static int CompareLMResult(SynResult l, SynResult r)
{
//return l.lmScore_rnn.CompareTo(r.lmScore_rnn);
return(l.lmScore.CompareTo(r.lmScore));
}