/// <summary>
/// returns a verbbasedsentence
/// You need to have a POS tagger and a lemmatizer
/// The tagset is similar to Bijankhan corpus
/// </summary>
/// <param name="sentence">sentence words</param>
/// <param name="posSentence">POS tags</param>
/// <param name="lemmas">lemmas</param>
/// <param name="morphoSyntacticFeatureses">set of morphosyntactic features</param>
/// <returns></returns>
public static VerbBasedSentence MakeVerbBasedSentence(string[] sentence, string[] posSentence, string[] lemmas, MorphoSyntacticFeatures[] morphoSyntacticFeatureses)
{
return new VerbBasedSentence(MakePartialDependencyTree(sentence, posSentence,lemmas,morphoSyntacticFeatureses));
}
/// <summary>
/// makes a partial dependency tree in where only verb parts are tagged
/// </summary>
/// <param name="sentence"></param>
/// <returns></returns>
private static List<DependencyBasedToken> MakePartialDependencyTree(string[] sentence)
{
var tree = new List<DependencyBasedToken>();
var dic = VerbPartTagger.MakePartialTree(sentence,verbDicPath);
foreach (KeyValuePair<int, KeyValuePair<string, KeyValuePair<int, object>>> keyValuePair in dic)
{
int position = keyValuePair.Key + 1;
string wordForm = keyValuePair.Value.Key;
int head = keyValuePair.Value.Value.Key;
string deprel = "_";
object obj = keyValuePair.Value.Value.Value;
string lemma = "_";
int wordCount = wordForm.Split(" ".ToCharArray(), StringSplitOptions.RemoveEmptyEntries).Length;
PersonType person = PersonType.PERSON_NONE;
NumberType number = NumberType.INVALID;
TenseFormationType tma = TenseFormationType.TenseFormationType_NONE;
var CPOSTag = "_";
if (obj is VerbInflection)
{
var newObj = (VerbInflection)obj;
tma = newObj.TenseForm;
var personType = newObj.Person;
person = personType;
number = NumberType.SINGULAR;
if (personType == PersonType.FIRST_PERSON_PLURAL || personType == PersonType.SECOND_PERSON_PLURAL || personType == PersonType.THIRD_PERSON_PLURAL)
{
number = NumberType.PLURAL;
}
lemma = newObj.VerbRoot.SimpleToString();
CPOSTag = "V";
}
if (obj is string)
{
var newObj = (string)obj;
if (newObj == "POSDEP")
{
deprel = newObj;
}
else if (newObj == "VERBAL-PREPOSIOTION")
{
deprel = "VPRT";
}
else if (newObj == "NON-VERBAL-ELEMENT")
{
deprel = "NVE";
}
else if (newObj == "MOSTAMAR_SAAZ_HAAL" || newObj == "MOSTAMAR_SAAZ_GOZASHTEH")
{
deprel = "PROG";
lemma = "داشت#دار";
var headObj = (VerbInflection)dic.ElementAt(head).Value.Value.Value;
person = headObj.Person;
number = NumberType.SINGULAR;
var personType = headObj.Person;
if (personType == PersonType.FIRST_PERSON_PLURAL || personType == PersonType.SECOND_PERSON_PLURAL || personType == PersonType.THIRD_PERSON_PLURAL)
{
number = NumberType.PLURAL;
}
tma = TenseFormationType.HAAL_SAADEH;
if (newObj == "MOSTAMAR_SAAZ_GOZASHTEH")
tma = TenseFormationType.GOZASHTEH_SADEH;
CPOSTag = "V";
}
}
var mfeat = new MorphoSyntacticFeatures(number, person, tma);
var dependencyToken = new DependencyBasedToken(position, wordForm, lemma, CPOSTag, "_", head, deprel, wordCount,
mfeat,Chasbidegi.TANHA);
tree.Add(dependencyToken);
}
return tree;
}
/// <summary>
/// makes a partial dependency tree in where only verb parts are tagged
/// You need to have a POS tagger and a lemmatizer
/// The tagset is similar to Bijankhan corpus
/// </summary>
/// <param name="sentence">sentence words</param>
/// <param name="posSentence">POS tags</param>
/// <param name="lemmas">lemmas</param>
/// <param name="morphoSyntacticFeatureses">set of morphosyntactic features</param>
/// <returns></returns>
private static List<DependencyBasedToken> MakePartialDependencyTree(string[] sentence, string[] posSentence, string[] lemmas, MorphoSyntacticFeatures[] morphoSyntacticFeatureses)
{
var tree = new List<DependencyBasedToken>();
string[] outpos;
var dic = VerbPartTagger.MakePartialTree(sentence, posSentence, out outpos,lemmas,verbDicPath);
int indexOfOriginalWords = 0;
bool addZamir = false;
string zamirString = "";
NumberType ZamirNumberType = NumberType.INVALID;
PersonType ZamirShakhsType = PersonType.PERSON_NONE;
string zamirLemma = "";
int offset = 0;
int realPosition = 0;
foreach (KeyValuePair<int, KeyValuePair<string, KeyValuePair<int, object>>> keyValuePair in dic)
{
addZamir = false;
zamirString = "";
ZamirShakhsType = PersonType.PERSON_NONE;
ZamirNumberType = NumberType.INVALID;
zamirLemma = "";
realPosition = keyValuePair.Key + 1;
int position = keyValuePair.Key + 1 + offset;
string wordForm = keyValuePair.Value.Key;
int head = keyValuePair.Value.Value.Key;
string deprel = "_";
object obj = keyValuePair.Value.Value.Value;
string lemma = "_";
string FPOS = "_";
int wordCount = wordForm.Split(" ".ToCharArray(), StringSplitOptions.RemoveEmptyEntries).Length;
PersonType person = PersonType.PERSON_NONE;
NumberType number = NumberType.INVALID;
TenseFormationType tma = TenseFormationType.TenseFormationType_NONE;
if (wordCount == 1)
{
lemma = lemmas[indexOfOriginalWords];
person = morphoSyntacticFeatureses[indexOfOriginalWords].Person;
number = morphoSyntacticFeatureses[indexOfOriginalWords].Number;
tma = morphoSyntacticFeatureses[indexOfOriginalWords].TenseMoodAspect;
}
indexOfOriginalWords += wordCount;
if (obj is VerbInflection)
{
var newObj = (VerbInflection)obj;
tma = newObj.TenseForm;
person = newObj.Person;
if(newObj.Passivity==TensePassivity.ACTIVE)
{
FPOS = "ACT";
}
else
{
FPOS = "PASS";
}
if(newObj.ZamirPeyvasteh!=AttachedPronounType.AttachedPronoun_NONE)
{
addZamir = true;
zamirString = newObj.AttachedPronounString;
offset++;
switch (newObj.ZamirPeyvasteh)
{
case AttachedPronounType.FIRST_PERSON_PLURAL:
ZamirNumberType = NumberType.PLURAL;
ZamirShakhsType = PersonType.FIRST_PERSON_PLURAL;
zamirLemma = "مان";
break;
case AttachedPronounType.FIRST_PERSON_SINGULAR:
ZamirNumberType = NumberType.SINGULAR;
ZamirShakhsType = PersonType.FIRST_PERSON_SINGULAR;
zamirLemma = "م";
break;
case AttachedPronounType.SECOND_PERSON_PLURAL:
ZamirNumberType = NumberType.PLURAL;
ZamirShakhsType = PersonType.SECOND_PERSON_PLURAL;
zamirLemma = "تان";
break;
case AttachedPronounType.SECOND_PERSON_SINGULAR:
ZamirNumberType = NumberType.SINGULAR;
ZamirShakhsType = PersonType.SECOND_PERSON_SINGULAR;
zamirLemma = "ت";
break;
case AttachedPronounType.THIRD_PERSON_PLURAL:
ZamirNumberType = NumberType.PLURAL;
ZamirShakhsType = PersonType.THIRD_PERSON_PLURAL;
zamirLemma = "شان";
break;
case AttachedPronounType.THIRD_PERSON_SINGULAR:
ZamirNumberType = NumberType.SINGULAR;
ZamirShakhsType = PersonType.THIRD_PERSON_SINGULAR;
zamirLemma = "ش";
break;
}
}
number = NumberType.SINGULAR;
if (person == PersonType.PERSON_NONE)
{
number = NumberType.INVALID;
}
if (person == PersonType.FIRST_PERSON_PLURAL || person == PersonType.SECOND_PERSON_PLURAL || person == PersonType.THIRD_PERSON_PLURAL)
{
number = NumberType.PLURAL;
}
lemma = newObj.VerbRoot.SimpleToString();
}
if (obj is string)
{
var newObj = (string)obj;
if (newObj == "POSDEP")
{
deprel = newObj;
}
else if (newObj == "VERBAL-PREPOSIOTION")
{
deprel = "VPRT";
}
else if (newObj == "NON-VERBAL-ELEMENT")
{
deprel = "NVE";
}
else if(newObj == "MOSTAMAR_SAAZ_HAAL" || newObj == "MOSTAMAR_SAAZ_GOZASHTEH")
{
deprel = "PROG";
lemma = "داشت#دار";
var headObj = (VerbInflection)dic.ElementAt(head).Value.Value.Value;
person = headObj.Person;
number = NumberType.SINGULAR;
var personType = headObj.Person;
if (personType == PersonType.FIRST_PERSON_PLURAL || personType == PersonType.SECOND_PERSON_PLURAL || personType == PersonType.THIRD_PERSON_PLURAL)
{
number = NumberType.PLURAL;
}
tma = TenseFormationType.HAAL_SAADEH;
if(newObj == "MOSTAMAR_SAAZ_GOZASHTEH")
tma = TenseFormationType.GOZASHTEH_SADEH;
}
}
if (!addZamir)
{
var mfeat = new MorphoSyntacticFeatures(number, person, tma);
var dependencyToken = new DependencyBasedToken(position, wordForm, lemma, outpos[realPosition - 1], FPOS,
head, deprel, wordCount,
mfeat,Chasbidegi.TANHA);
tree.Add(dependencyToken);
}
else
{
var mfeat1 = new MorphoSyntacticFeatures(number, person, tma);
var mfeat2 = new MorphoSyntacticFeatures(ZamirNumberType, ZamirShakhsType, TenseFormationType.TenseFormationType_NONE);
var dependencyToken1 = new DependencyBasedToken(position, wordForm.Substring(0, wordForm.Length - zamirString.Length), lemma, outpos[realPosition - 1], FPOS,
head, deprel, wordCount,
mfeat1,Chasbidegi.NEXT);
var dependencyToken2 = new DependencyBasedToken(position + 1, zamirString, zamirLemma, "CPR", "CPR",
position, "OBJ", 1,
mfeat2,Chasbidegi.PREV);
tree.Add(dependencyToken1);
tree.Add(dependencyToken2);
}
}
return tree;
}