/// <summary> Runs viterbi to get the final morphological analysis result which has the highest probability.</summary>
/// <param name="sos">- all the candidates of morphological analysis
/// </param>
/// <returns> the final morphological analysis result which has the highest probability
/// </returns>
private Sentence end_sentence(SetOfSentences sos)
{
int i, j, k;
/* Ceartes the last node */
i = new_wp(" ");
wp[i].MNode = new_mnode(null, "SF", 0);
/* Runs viterbi */
for (i = 1; i < wp_end - 1; i++)
{
for (j = wp[i].MNode; j != 0; j = mn[j].Sibling)
{
for (k = wp[i + 1].MNode; k != 0; k = mn[k].Sibling)
{
update_prob_score(j, k);
}
}
}
i = sos.length;
Eojeol[] eojeols = new Eojeol[i];
for (k = wp[i].MNode; k != 0; k = mn[k].Backptr)
{
eojeols[--i] = mn[k].Eojeol;
}
return(new Sentence(sos.DocumentID, sos.SentenceID, sos.EndOfDocument, sos.getPlainEojeolArray().ToArray(), eojeols));
}
/// <summary> Adds a new node for the markov model.</summary>
/// <param name="eojeol">- the eojeol to add
/// </param>
/// <param name="wp_tag">- the eojeol tag
/// </param>
/// <param name="prob">- the probability P(w|t)
/// </param>
/// <returns> the index of the new node
/// </returns>
private int new_mnode(Eojeol eojeol, System.String wp_tag, double prob)
{
mn[mn_end].Eojeol = eojeol;
mn[mn_end].Wp_Tag = wp_tag;
mn[mn_end].Prob_Wt = prob;
mn[mn_end].Backptr = 0;
mn[mn_end].Sibling = 0;
return(mn_end++);
}
/// <summary> It changes the POS tagging result with 69 KAIST tags to the simplified result with 9 tags.</summary>
/// <param name="st">- the result of morphological analysis where each eojeol has more than analysis result
/// </param>
/// <returns> the simplified POS tagging result
/// </returns>
public virtual Sentence doProcess(Sentence st)
{
System.String prevTag = null;
bool changed = false;
Eojeol[] eojeolSet = st.Eojeols;
for (int i = 0; i < eojeolSet.Length; i++)
{
System.String[] tags = eojeolSet[i].Tags;
prevTag = "";
changed = false;
for (int j = 0; j < tags.Length; j++)
{
tags[j] = TagMapper.getKaistTagOnLevel(tags[j], TAG_LEVEL);
if (tags[j].Equals(prevTag))
{
changed = true;
}
prevTag = tags[j];
}
if (changed)
{
tagList.Clear();
morphemeList.Clear();
System.String[] morphemes = eojeolSet[i].Morphemes;
for (int j = 0; j < tags.Length - 1; j++)
{
if (tags[j].Equals(tags[j + 1]))
{
morphemes[j + 1] = morphemes[j] + morphemes[j + 1];
}
else
{
tagList.Add(tags[j]);
morphemeList.Add(morphemes[j]);
}
}
tagList.Add(tags[tags.Length - 1]);
morphemeList.Add(morphemes[morphemes.Length - 1]);
eojeolSet[i] = new Eojeol(morphemeList.ToArray(), tagList.ToArray());
}
}
st.Eojeols = eojeolSet;
return(st);
}
public virtual SetOfSentences doProcess(SetOfSentences sos)
{
List <Eojeol []> eojeolSetArray = sos.getEojeolSetArray();
LinkedList <Eojeol> eojeolArray = new LinkedList <Eojeol>();
for (int i = 0; i < eojeolSetArray.Count; i++)
{
Eojeol[] eojeolSet = eojeolSetArray[i];
eojeolArray.Clear();
for (int j = 0; j < eojeolSet.Length; j++)
{
eojeolArray.AddLast(eojeolSet[j]);
}
int unkCount = 0;
for (int j = 0; j < eojeolArray.Count; j++)
{
Eojeol eojeol = eojeolArray.Get_Renamed(j);
System.String[] tags = eojeol.Tags;
System.String[] morphemes = eojeol.Morphemes;
for (int k = 0; k < tags.Length; k++)
{
if (tags[k].Equals("unk"))
{
tags[k] = "nqq";
Eojeol newEojeol = new Eojeol(morphemes.Clone() as string[], tags.Clone() as string[]);
eojeolArray.AddLast(newEojeol);
tags[k] = "ncn";
unkCount++;
}
}
}
if (unkCount > 0)
{
eojeolSetArray[i] = eojeolArray.ToArray(eojeolSet);
}
}
return(sos);
}
public virtual SetOfSentences doProcess(SetOfSentences sos)
{
List< Eojeol [] > eojeolSetArray = sos.getEojeolSetArray();
LinkedList < Eojeol > eojeolArray = new LinkedList < Eojeol >();
for (int i = 0; i < eojeolSetArray.Count; i++)
{
Eojeol[] eojeolSet = eojeolSetArray[i];
eojeolArray.Clear();
for (int j = 0; j < eojeolSet.Length; j++)
{
eojeolArray.AddLast(eojeolSet[j]);
}
int unkCount = 0;
for (int j = 0; j < eojeolArray.Count; j++)
{
Eojeol eojeol = eojeolArray.Get_Renamed(j);
System.String[] tags = eojeol.Tags;
System.String[] morphemes = eojeol.Morphemes;
for (int k = 0; k < tags.Length; k++)
{
if (tags[k].Equals("unk"))
{
tags[k] = "nqq";
Eojeol newEojeol = new Eojeol(morphemes.Clone() as string[], tags.Clone() as string[]);
eojeolArray.AddLast(newEojeol);
tags[k] = "ncn";
unkCount++;
}
}
}
if (unkCount > 0)
{
eojeolSetArray[i] = eojeolArray.ToArray(eojeolSet);
}
}
return sos;
}
/// <summary> It processes the input plain eojeol by analyzing it or searching the pre-analyzed dictionary.</summary>
/// <param name="plainEojeol">- plain eojeol to analyze
/// </param>
/// <returns> the morphologically analyzed eojeol list
/// </returns>
private Eojeol[] processEojeol(System.String plainEojeol)
{
System.String analysis = analyzedDic.get_Renamed(plainEojeol);
eojeolList.Clear();
if (analysis != null)
{
// the eojeol was registered in the pre-analyzed dictionary
StringTokenizer st = new StringTokenizer(analysis, "^");
while (st.HasMoreTokens)
{
System.String analyzed = st.NextToken;
System.String[] tokens = analyzed.Split("\\+|/");
System.String[] morphemes = new System.String[tokens.Length / 2];
System.String[] tags = new System.String[tokens.Length / 2];
for (int i = 0, j = 0; i < morphemes.Length; i++)
{
morphemes[i] = tokens[j++];
tags[i] = tokens[j++];
}
Eojeol eojeol = new Eojeol(morphemes, tags);
eojeolList.AddLast(eojeol);
}
}
else
{
// analyze the input plain eojeol
chart.init(plainEojeol);
chart.analyze();
chart.getResult();
}
return(eojeolList.ToArray());
}
/// <summary> It changes the POS tagging result with 69 KAIST tags to the simplified result with 9 tags.</summary>
/// <param name="st">- the result of morphological analysis where each eojeol has more than analysis result
/// </param>
/// <returns> the simplified POS tagging result
/// </returns>
public virtual Sentence doProcess(Sentence st)
{
System.String prevTag = null;
bool changed = false;
Eojeol[] eojeolSet = st.Eojeols;
for (int i = 0; i < eojeolSet.Length; i++)
{
System.String[] tags = eojeolSet[i].Tags;
prevTag = "";
changed = false;
for (int j = 0; j < tags.Length; j++)
{
tags[j] = TagMapper.getKaistTagOnLevel(tags[j], TAG_LEVEL);
if (tags[j].Equals(prevTag))
{
changed = true;
}
prevTag = tags[j];
}
if (changed)
{
tagList.Clear();
morphemeList.Clear();
System.String[] morphemes = eojeolSet[i].Morphemes;
for (int j = 0; j < tags.Length - 1; j++)
{
if (tags[j].Equals(tags[j + 1]))
{
morphemes[j + 1] = morphemes[j] + morphemes[j + 1];
}
else
{
tagList.Add(tags[j]);
morphemeList.Add(morphemes[j]);
}
}
tagList.Add(tags[tags.Length - 1]);
morphemeList.Add(morphemes[morphemes.Length - 1]);
eojeolSet[i] = new Eojeol(morphemeList.ToArray(), tagList.ToArray());
}
}
st.Eojeols = eojeolSet;
return st;
}
/// <summary> It changes the morphological analysis result with 69 KAIST tags to the simplified result with 22 tags.</summary>
/// <param name="sos">- the result of morphological analysis where each eojeol has more than analysis result
/// </param>
/// <returns> the simplified morphological analysis result
/// </returns>
public virtual SetOfSentences doProcess(SetOfSentences sos)
{
List< Eojeol [] > eojeolSetArray = sos.getEojeolSetArray();
List< Eojeol [] > resultSetArray = new List< Eojeol [] >();
int len = eojeolSetArray.Count;
System.String prevTag = null;
bool changed = false;
for (int pos = 0; pos < len; pos++)
{
Eojeol[] eojeolSet = eojeolSetArray[pos];
dupFilterMap.Clear();
for (int i = 0; i < eojeolSet.Length; i++)
{
System.String[] tags = eojeolSet[i].Tags;
prevTag = "";
changed = false;
for (int j = 0; j < tags.Length; j++)
{
tags[j] = TagMapper.getKaistTagOnLevel(tags[j], TAG_LEVEL);
if (tags[j].Equals(prevTag))
{
changed = true;
}
prevTag = tags[j];
}
if (changed)
{
tagList.Clear();
morphemeList.Clear();
System.String[] morphemes = eojeolSet[i].Morphemes;
for (int j = 0; j < tags.Length - 1; j++)
{
if (tags[j].Equals(tags[j + 1]))
{
morphemes[j + 1] = morphemes[j] + morphemes[j + 1];
}
else
{
tagList.Add(tags[j]);
morphemeList.Add(morphemes[j]);
}
}
tagList.Add(tags[tags.Length - 1]);
morphemeList.Add(morphemes[morphemes.Length - 1]);
eojeolSet[i] = new Eojeol(morphemeList.ToArray(), tagList.ToArray());
}
System.String key = eojeolSet[i].ToString();
if (!dupFilterMap.ContainsKey(key))
{
dupFilterMap[key] = eojeolSet[i];
}
}
if (eojeolSet.Length != dupFilterMap.Count)
{
resultSetArray.Add(dupFilterMap.Values.ToArray());
}
else
{
resultSetArray.Add(eojeolSet);
}
}
sos.setEojeolSetArray(resultSetArray);
return sos;
}
/// <summary> It changes the morphological analysis result with 69 KAIST tags to the simplified result with 22 tags.</summary>
/// <param name="sos">- the result of morphological analysis where each eojeol has more than analysis result
/// </param>
/// <returns> the simplified morphological analysis result
/// </returns>
public virtual SetOfSentences doProcess(SetOfSentences sos)
{
List <Eojeol []> eojeolSetArray = sos.getEojeolSetArray();
List <Eojeol []> resultSetArray = new List <Eojeol []>();
int len = eojeolSetArray.Count;
System.String prevTag = null;
bool changed = false;
for (int pos = 0; pos < len; pos++)
{
Eojeol[] eojeolSet = eojeolSetArray[pos];
dupFilterMap.Clear();
for (int i = 0; i < eojeolSet.Length; i++)
{
System.String[] tags = eojeolSet[i].Tags;
prevTag = "";
changed = false;
for (int j = 0; j < tags.Length; j++)
{
tags[j] = TagMapper.getKaistTagOnLevel(tags[j], TAG_LEVEL);
if (tags[j].Equals(prevTag))
{
changed = true;
}
prevTag = tags[j];
}
if (changed)
{
tagList.Clear();
morphemeList.Clear();
System.String[] morphemes = eojeolSet[i].Morphemes;
for (int j = 0; j < tags.Length - 1; j++)
{
if (tags[j].Equals(tags[j + 1]))
{
morphemes[j + 1] = morphemes[j] + morphemes[j + 1];
}
else
{
tagList.Add(tags[j]);
morphemeList.Add(morphemes[j]);
}
}
tagList.Add(tags[tags.Length - 1]);
morphemeList.Add(morphemes[morphemes.Length - 1]);
eojeolSet[i] = new Eojeol(morphemeList.ToArray(), tagList.ToArray());
}
System.String key = eojeolSet[i].ToString();
if (!dupFilterMap.ContainsKey(key))
{
dupFilterMap[key] = eojeolSet[i];
}
}
if (eojeolSet.Length != dupFilterMap.Count)
{
resultSetArray.Add(dupFilterMap.Values.ToArray());
}
else
{
resultSetArray.Add(eojeolSet);
}
}
sos.setEojeolSetArray(resultSetArray);
return(sos);
}
/// <summary> It processes the input plain eojeol by analyzing it or searching the pre-analyzed dictionary.</summary>
/// <param name="plainEojeol">- plain eojeol to analyze
/// </param>
/// <returns> the morphologically analyzed eojeol list
/// </returns>
private Eojeol[] processEojeol(System.String plainEojeol)
{
System.String analysis = analyzedDic.get_Renamed(plainEojeol);
eojeolList.Clear();
if (analysis != null)
{
// the eojeol was registered in the pre-analyzed dictionary
StringTokenizer st = new StringTokenizer(analysis, "^");
while (st.HasMoreTokens)
{
System.String analyzed = st.NextToken;
System.String[] tokens = analyzed.Split("\\+|/");
System.String[] morphemes = new System.String[tokens.Length / 2];
System.String[] tags = new System.String[tokens.Length / 2];
for (int i = 0, j = 0; i < morphemes.Length; i++)
{
morphemes[i] = tokens[j++];
tags[i] = tokens[j++];
}
Eojeol eojeol = new Eojeol(morphemes, tags);
eojeolList.AddLast(eojeol);
}
}
else
{
// analyze the input plain eojeol
chart.init(plainEojeol);
chart.analyze();
chart.getResult();
}
return eojeolList.ToArray();
}
/// <summary> Adds a new node for the markov model.</summary>
/// <param name="eojeol">- the eojeol to add
/// </param>
/// <param name="wp_tag">- the eojeol tag
/// </param>
/// <param name="prob">- the probability P(w|t)
/// </param>
/// <returns> the index of the new node
/// </returns>
private int new_mnode(Eojeol eojeol, System.String wp_tag, double prob)
{
mn[mn_end].Eojeol = eojeol;
mn[mn_end].Wp_Tag = wp_tag;
mn[mn_end].Prob_Wt = prob;
mn[mn_end].Backptr = 0;
mn[mn_end].Sibling = 0;
return mn_end++;
}
/// <summary> Runs viterbi to get the final morphological analysis result which has the highest probability.</summary>
/// <param name="sos">- all the candidates of morphological analysis
/// </param>
/// <returns> the final morphological analysis result which has the highest probability
/// </returns>
private Sentence end_sentence(SetOfSentences sos)
{
int i, j, k;
/* Ceartes the last node */
i = new_wp(" ");
wp[i].MNode = new_mnode(null, "SF", 0);
/* Runs viterbi */
for (i = 1; i < wp_end - 1; i++)
{
for (j = wp[i].MNode; j != 0; j = mn[j].Sibling)
{
for (k = wp[i + 1].MNode; k != 0; k = mn[k].Sibling)
{
update_prob_score(j, k);
}
}
}
i = sos.length;
Eojeol[] eojeols = new Eojeol[i];
for (k = wp[i].MNode; k != 0; k = mn[k].Backptr)
{
eojeols[--i] = mn[k].Eojeol;
}
return new Sentence(sos.DocumentID, sos.SentenceID, sos.EndOfDocument, sos.getPlainEojeolArray().ToArray(), eojeols);
}
/// <summary> Computes P(T_i, W_i) of the specified eojeol.</summary>
/// <param name="eojeol">- the eojeol to compute the probability
/// </param>
/// <returns> P(T_i, W_i) of the specified eojeol
/// </returns>
private double compute_wt(Eojeol eojeol)
{
double current = 0.0, tbigram, tunigram, lexicon;
System.String tag;
System.String bitag;
System.String oldtag;
tag = eojeol.getTag(0);
/* the probability of P(t1|t0) */
bitag = "bnk-" + tag;
double[] prob = null;
if ((prob = ptt_pos_tf.get_Renamed(bitag)) != null)
{
/* current = P(t1|t0) */
tbigram = prob[0];
}
else
{
/* current = P(t1|t0) = 0.01 */
tbigram = PCONSTANT;
}
/* the probability of P(t1) */
if ((prob = ptt_pos_tf.get_Renamed(tag)) != null)
{
/* current = P(t1) */
tunigram = prob[0];
}
else
{
/* current = P(t1) = 0.01 */
tunigram = PCONSTANT;
}
/* the probability of P(w|t) */
if ((prob = pwt_pos_tf.get_Renamed(eojeol.getMorpheme(0) + "/" + tag)) != null)
{
/* current *= P(w|t1) */
lexicon = prob[0];
}
else
{
/* current = P(w|t1) = 0.01 */
lexicon = PCONSTANT;
}
/*
* current = P(w|t1) * P(t1|t0) ~= P(w|t1) * (P(t1|t0))^Lambda1 * (P(t1))^Lambda2 (Lambda1 + Lambda2 = 1)
*/
// current = lexicon + Lambda1*tbigram + Lambda2*tunigram;
/*
* current = P(w|t1)/P(t1) * P(t1|t0)/P(t1)
*/
// current = lexicon - tunigram + tbigram - tunigram;
/*
* current = P(w|t1) * P(t1|t0)
*/
// current = lexicon + tbigram ;
/*
* current = P(w|t1) * P(t1|t0) / P(t1)
*/
current = lexicon + tbigram - tunigram;
oldtag = tag;
for (int i = 1; i < eojeol.length; i++)
{
tag = eojeol.getTag(i);
/* P(t_i|t_i-1) */
bitag = oldtag + "-" + tag;
if ((prob = ptt_pos_tf.get_Renamed(bitag)) != null)
{
tbigram = prob[0];
}
else
{
tbigram = PCONSTANT;
}
/* P(w|t) */
if ((prob = pwt_pos_tf.get_Renamed(eojeol.getMorpheme(i) + "/" + tag)) != null)
{
/* current *= P(w|t) */
lexicon = prob[0];
}
else
{
lexicon = PCONSTANT;
}
/* P(t) */
if ((prob = ptt_pos_tf.get_Renamed(tag)) != null)
{
/* current = P(t) */
tunigram = prob[0];
}
else
{
/* current = P(t)=0.01 */
tunigram = PCONSTANT;
}
// current += lexicon - tunigram + tbigram - tunigram;
// current += lexicon + tbigram;
current += lexicon + tbigram - tunigram;
oldtag = tag;
}
/* the blank at the end of eojeol */
bitag = tag + "-bnk";
/* P(bnk|t_last) */
if ((prob = ptt_pos_tf.get_Renamed(bitag)) != null)
{
tbigram = prob[0];
}
else
{
tbigram = PCONSTANT;
}
/* P(bnk) */
if ((prob = ptt_pos_tf.get_Renamed("bnk")) != null)
{
tunigram = prob[0];
}
else
{
tunigram = PCONSTANT;
}
/* P(w|bnk) = 1, and ln(1) = 0 */
// current += 0 - tunigram + tbigram - tunigram;
// current += 0 + tbigram;
current += 0 + tbigram - tunigram;
return current;
}
/// <summary> Computes P(T_i, W_i) of the specified eojeol.</summary>
/// <param name="eojeol">- the eojeol to compute the probability
/// </param>
/// <returns> P(T_i, W_i) of the specified eojeol
/// </returns>
private double compute_wt(Eojeol eojeol)
{
double current = 0.0, tbigram, tunigram, lexicon;
System.String tag;
System.String bitag;
System.String oldtag;
tag = eojeol.getTag(0);
/* the probability of P(t1|t0) */
bitag = "bnk-" + tag;
double[] prob = null;
if ((prob = ptt_pos_tf.get_Renamed(bitag)) != null)
{
/* current = P(t1|t0) */
tbigram = prob[0];
}
else
{
/* current = P(t1|t0) = 0.01 */
tbigram = PCONSTANT;
}
/* the probability of P(t1) */
if ((prob = ptt_pos_tf.get_Renamed(tag)) != null)
{
/* current = P(t1) */
tunigram = prob[0];
}
else
{
/* current = P(t1) = 0.01 */
tunigram = PCONSTANT;
}
/* the probability of P(w|t) */
if ((prob = pwt_pos_tf.get_Renamed(eojeol.getMorpheme(0) + "/" + tag)) != null)
{
/* current *= P(w|t1) */
lexicon = prob[0];
}
else
{
/* current = P(w|t1) = 0.01 */
lexicon = PCONSTANT;
}
/*
* current = P(w|t1) * P(t1|t0) ~= P(w|t1) * (P(t1|t0))^Lambda1 * (P(t1))^Lambda2 (Lambda1 + Lambda2 = 1)
*/
// current = lexicon + Lambda1*tbigram + Lambda2*tunigram;
/*
* current = P(w|t1)/P(t1) * P(t1|t0)/P(t1)
*/
// current = lexicon - tunigram + tbigram - tunigram;
/*
* current = P(w|t1) * P(t1|t0)
*/
// current = lexicon + tbigram ;
/*
* current = P(w|t1) * P(t1|t0) / P(t1)
*/
current = lexicon + tbigram - tunigram;
oldtag = tag;
for (int i = 1; i < eojeol.length; i++)
{
tag = eojeol.getTag(i);
/* P(t_i|t_i-1) */
bitag = oldtag + "-" + tag;
if ((prob = ptt_pos_tf.get_Renamed(bitag)) != null)
{
tbigram = prob[0];
}
else
{
tbigram = PCONSTANT;
}
/* P(w|t) */
if ((prob = pwt_pos_tf.get_Renamed(eojeol.getMorpheme(i) + "/" + tag)) != null)
{
/* current *= P(w|t) */
lexicon = prob[0];
}
else
{
lexicon = PCONSTANT;
}
/* P(t) */
if ((prob = ptt_pos_tf.get_Renamed(tag)) != null)
{
/* current = P(t) */
tunigram = prob[0];
}
else
{
/* current = P(t)=0.01 */
tunigram = PCONSTANT;
}
// current += lexicon - tunigram + tbigram - tunigram;
// current += lexicon + tbigram;
current += lexicon + tbigram - tunigram;
oldtag = tag;
}
/* the blank at the end of eojeol */
bitag = tag + "-bnk";
/* P(bnk|t_last) */
if ((prob = ptt_pos_tf.get_Renamed(bitag)) != null)
{
tbigram = prob[0];
}
else
{
tbigram = PCONSTANT;
}
/* P(bnk) */
if ((prob = ptt_pos_tf.get_Renamed("bnk")) != null)
{
tunigram = prob[0];
}
else
{
tunigram = PCONSTANT;
}
/* P(w|bnk) = 1, and ln(1) = 0 */
// current += 0 - tunigram + tbigram - tunigram;
// current += 0 + tbigram;
current += 0 + tbigram - tunigram;
return(current);
}
/// <summary> It does post processing of morphological analysis to deal with some exceptions.</summary>
/// <param name="sos">- the result of morphological analysis
/// </param>
/// <returns> the result of morphological analysis with post processing
/// </returns>
public virtual SetOfSentences doPostProcessing(SetOfSentences sos)
{
List <Eojeol[]> eojeolSetArray = sos.getEojeolSetArray();
IEnumerator <Eojeol[]> iter = eojeolSetArray.GetEnumerator();
while (iter.MoveNext())
{
Eojeol[] eojeolSet = iter.Current;
System.String prevMorph = "";
for (int i = 0; i < eojeolSet.Length; i++)
{
Eojeol eojeol = eojeolSet[i];
System.String[] morphemes = eojeol.Morphemes;
System.String[] tags = eojeol.Tags;
for (int j = 0; j < eojeol.length; j++)
{
System.String tri = Code.toTripleString(morphemes[j]);
if (tags[j].StartsWith("e"))
{
int prevLen = prevMorph.Length;
if (tri.StartsWith(A_))
{
/* 어 -> 아 */
if (prevLen >= 4 && prevMorph[prevLen - 1] == EU[1] && !isXEU(prevMorph[prevLen - 2]) && ((Code.isJungseong(prevMorph[prevLen - 3]) && isPV(prevMorph[prevLen - 3])) || (Code.isJongseong(prevMorph[prevLen - 3]) && isPV(prevMorph[prevLen - 4]))))
{
morphemes[j] = Code.toString(AR.ToCharArray());
}
else if (prevLen >= 3 && prevMorph[prevLen - 1] == DOB[2] && (prevMorph.Substring(prevLen - 3).Equals(DOB) == false || prevMorph.Substring(prevLen - 3).Equals(GOB) == false))
{
/* for 'ㅂ' irregular */
}
else if (prevLen >= 2 && prevMorph.Substring(prevLen - 2).Equals(HA))
{
}
else if (prevLen >= 2 && ((Code.isJungseong(prevMorph[prevLen - 1]) && isPV(prevMorph[prevLen - 1])) || (Code.isJongseong(prevMorph[prevLen - 1]) && isPV(prevMorph[prevLen - 2]))))
{
// final consonant or not
morphemes[j] = Code.toString(AR.ToCharArray());
}
}
else if (tri.StartsWith(EU.Substring(0, (2) - (0))) || tri.StartsWith(SU.Substring(0, (4) - (0))) || tri.StartsWith(NU.Substring(0, (4) - (0))))
{
/* elision of '으', '스', '느' */
if (prevLen >= 2 && (Code.isJungseong(prevMorph[prevLen - 1]) || prevMorph[prevLen - 1] == 0x11AF))
{
morphemes[j] = Code.toString(tri.Substring(2).ToCharArray());
}
}
}
prevMorph = Code.toTripleString(morphemes[j]);
}
}
}
return(sos);
}
