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Treebank Statistics: UD_Serbian-SET: POS Tags: PROPN

There are 2123 PROPN lemmas (21%), 2745 PROPN types (15%) and 7412 PROPN tokens (8%). Out of 17 observed tags, the rank of PROPN is: 3 in number of lemmas, 4 in number of types and 6 in number of tokens.

The 10 most frequent PROPN lemmas: Kosovo, EU, Srbija, BiH, Makedonija, Turska, Bugarska, NATO, Beograd, Hrvatska

The 10 most frequent PROPN types: EU, BiH, Kosova, Srbije, Kosovo, Srbija, Kosovu, Srbiji, UN, Beogradu

The 10 most frequent ambiguous lemmas: SETimes (X 71, PROPN 37), Atina (PROPN 30, NOUN 1), Burkaj (PROPN 18, NOUN 1), MKSJ (PROPN 16, NOUN 3), Ešdaun (PROPN 11, NOUN 1), Basesku (PROPN 10, NOUN 1), Pasi (PROPN 9, NOUN 1), Akropolj (PROPN 8, NOUN 3), Vlada (PROPN 7, NOUN 1), Kaida (PROPN 6, NOUN 1)

The 10 most frequent ambiguous types: Turska (PROPN 42, ADJ 2), Turske (PROPN 42, ADJ 1), Bugarska (PROPN 38, ADJ 2), Hrvatska (PROPN 36, ADJ 8), SETimes (X 70, PROPN 35), Hrvatske (PROPN 29, ADJ 4), Bugarske (PROPN 27, ADJ 1), Grčka (PROPN 23, ADJ 2), Turskoj (PROPN 23, ADJ 1), Kipar (PROPN 15, NOUN 1)

• Turska
  • PROPN 42: Nauka i tehnologija : Turska domaćin konferencije o NLO
  • ADJ 2: Turska manekenka hoda po pisti prvog dana Istanbulske nedelje mode .
• Turske
  • PROPN 42: On je takođe čvrsto podržao kandidaturu Turske za prijem u EU .
  • ADJ 1: ” Nama treba novac od MMF-a , ali ovo je ozbiljno pitanje i ne može se raditi preko kolena “ , izjavio je Mehmet Bujukekši , predsednik Turske skupštine izvoznika ( TIM ) .
• Bugarska
  • PROPN 38: Bugarska konačno prodala državni monopol na duvan
  • ADJ 2: Bugarska vojska pomaže u raščišćavanju štete izazvane poplavama
• Hrvatska
  • PROPN 36: Hrvatska pozvana da ubrza reforme potrebne za ulazak u EU
  • ADJ 8: Kultura i sport : Hrvatska atletičarka Vlašić pobedila u skoku u vis na svetskom prvenstvu u dvorani
• SETimes
  • X 70: SETimes : Da li ste kontaktirali vlasti u Tirani ?
  • PROPN 35: KFOR uopšte nije bio umešan “ , izjavio je Novicki za SETimes .
• Hrvatske
  • PROPN 29: Dvostruka prekretnica Hrvatske
  • ADJ 4: Čovek prolazi pored izbornog plakata Hrvatske narodne stranke u Zagrebu .
• Bugarske
  • PROPN 27: Težnja Bugarske za smanjenjem energetske zavisnosti zabrinjava eko-aktiviste
  • ADJ 1: Petkov , inače visoki funkcioner Bugarske socijalističke partije ( BSP ) , imenovan je za ministra unutrašnjih poslova u tročlanoj koaliciji socijalističke vlade koja je preuzela vlast u zemlji posle parlamentarnih izbora u junu 2005 , kada nije bilo ubedljivog pobednika .
• Grčka
  • PROPN 23: Takođe u vestima : Grčka pokrenula Helenski nacionalni katastar .
  • ADJ 2: Poslovne vesti : Grčka kompanija proširiće svoje investicije u jugoistočnoj Evropi
• Turskoj
  • PROPN 23: ” Turskoj je kao evropskoj sili mesto u Uniji “ , rekao je Buš .
  • ADJ 1: Jermensko-turski novinar i direktor Programa demokratizacije u Turskoj fondaciji za ekonomske i socijalne studije ( TESEV ) Etjen Mahčupjan kaže da je važan trenutak donošenja ove uredbe .
• Kipar
  • PROPN 15: Diplomatski dnevnik : Papa posetio Kipar
  • NOUN 1: Tursku Republiku Severni Kipar priznaje samo Ankara .

Morphology

The form / lemma ratio of PROPN is 1.292982 (the average of all parts of speech is 1.845258).

The 1st highest number of forms (5) was observed with the lemma “Albanac”: Albanac, Albanaca, Albance, Albanci, Albancima.

The 2nd highest number of forms (5) was observed with the lemma “Albanija”: Albanija, Albanije, Albaniji, Albanijom, Albaniju.

The 3rd highest number of forms (5) was observed with the lemma “Beograd”: BEOGRAD, Beograd, Beograda, Beogradom, Beogradu.

PROPN occurs with 4 features: Case (7408; 100% instances), Gender (7408; 100% instances), Number (7408; 100% instances), Animacy (224; 3% instances)

PROPN occurs with 13 feature-value pairs: Animacy=Anim, Animacy=Inan, Case=Acc, Case=Dat, Case=Gen, Case=Ins, Case=Loc, Case=Nom, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing

PROPN occurs with 29 feature combinations. The most frequent feature combination is Case=Nom|Gender=Masc|Number=Sing (3127 tokens). Examples: EU, BiH, UN, EBRD, NATO, SETimes, EK, Crvenkovski, Erdogan, Ren

Relations

PROPN nodes are attached to their parents using 17 different relations: flat (2201; 30% instances), nmod (1996; 27% instances), nsubj (1364; 18% instances), obl (705; 10% instances), conj (533; 7% instances), appos (351; 5% instances), obj (125; 2% instances), parataxis (61; 1% instances), amod (35; 0% instances), root (18; 0% instances), acl (6; 0% instances), list (5; 0% instances), xcomp (5; 0% instances), orphan (4; 0% instances), advcl (1; 0% instances), ccomp (1; 0% instances), iobj (1; 0% instances)

Parents of PROPN nodes belong to 11 different parts of speech: NOUN (3405; 46% instances), PROPN (1904; 26% instances), VERB (1726; 23% instances), ADJ (275; 4% instances), ADV (38; 1% instances), AUX (20; 0% instances), (18; 0% instances), X (15; 0% instances), PRON (5; 0% instances), DET (4; 0% instances), PART (2; 0% instances)

3717 (50%) PROPN nodes are leaves.

2610 (35%) PROPN nodes have one child.

768 (10%) PROPN nodes have two children.

317 (4%) PROPN nodes have three or more children.

The highest child degree of a PROPN node is 11.

Children of PROPN nodes are attached using 24 different relations: flat (1464; 27% instances), case (1391; 26% instances), punct (772; 14% instances), conj (633; 12% instances), cc (313; 6% instances), amod (270; 5% instances), appos (140; 3% instances), nmod (118; 2% instances), acl (106; 2% instances), parataxis (54; 1% instances), advmod (28; 1% instances), cop (13; 0% instances), nsubj (13; 0% instances), nummod:gov (10; 0% instances), orphan (10; 0% instances), list (5; 0% instances), aux (4; 0% instances), det (4; 0% instances), mark (4; 0% instances), obl (4; 0% instances), discourse (3; 0% instances), nummod (3; 0% instances), advcl (2; 0% instances), det:numgov (1; 0% instances)

Children of PROPN nodes belong to 16 different parts of speech: PROPN (1904; 35% instances), ADP (1372; 26% instances), PUNCT (772; 14% instances), NOUN (386; 7% instances), CCONJ (383; 7% instances), ADJ (322; 6% instances), VERB (69; 1% instances), X (54; 1% instances), NUM (28; 1% instances), ADV (26; 0% instances), AUX (18; 0% instances), PART (10; 0% instances), SCONJ (10; 0% instances), DET (8; 0% instances), PRON (2; 0% instances), SYM (1; 0% instances)

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