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Treebank Statistics: UD_Slovak-SNK: POS Tags: PRON

There are 29 PRON lemmas (0%), 94 PRON types (0%) and 6435 PRON tokens (6%). Out of 17 observed tags, the rank of PRON is: 13 in number of lemmas, 10 in number of types and 6 in number of tokens.

The 10 most frequent PRON lemmas: sa, ja, on, ona, si, čo, ty, my, niečo, nič

The 10 most frequent PRON types: sa, si, mi, ho, ma, mu, čo, ju, ja, jej

The 10 most frequent ambiguous lemmas: sa (PRON 2614, VERB 3), on (PRON 915, X 1), čo (PRON 227, SCONJ 29, PART 12, ADV 1), my (PRON 124, X 1), nič (PRON 102, PART 1), kto (PRON 52, SCONJ 6), mama (NOUN 96, PRON 1, PROPN 1), veselý (ADJ 3, PRON 1), za (ADP 304, PRON 1)

The 10 most frequent ambiguous types: si (PRON 385, AUX 61, VERB 12), ma (PRON 255, ADP 1), čo (PRON 152, SCONJ 29, PART 11), jej (PRON 136, DET 134), ich (PRON 119, DET 85), nič (PRON 78, PART 1), sebe (PRON 42, ADV 1), on (PRON 28, X 1), ne (PRON 10, X 1), čím (PRON 7, ADV 3)

• si
  • PRON 385: Potom sa obrátil na Fínsko , aby si podobné ústupky vynútil aj od neho .
  • AUX 61: “ Našla si ju ? “ spýtal sa Chris .
  • VERB 12: ” A vieš , ako dlho si tu ? “
• ma
  • PRON 255: Silný vietor ! “ ma posiela späť na “ vajíčko “ .
  • ADP 1: Štát tú časť pôdy , ktorá nebude potrebná ma výstavbu objektov a infraštruktúry celospoločenského významu , prevedie do vlastníctva obce .
• čo
  • PRON 152: Bol mimoriadne snaživým študentom , čo postrehli aj jeho učitelia .
  • SCONJ 29: Srdce mi bilo ako zvon , no odľahlo mi , len čo za sebou zavrela .
  • PART 11: Túžil som vypiť tú vodku čo najrýchlejšie .
• jej
  • PRON 136: Hoyle túto teóriu nepodporoval a plánoval sa jej vysmiať .
  • DET 134: Po útokoch z 11 . septembra 2001 nastúpil jej ďalší prudký rast .
• ich
  • PRON 119: V prípade , že nebudú ani dedičia , nahradia ich univerzity .
  • DET 85: Na cestách spoznával ľudí , ich zvyky a obyčaje .
• nič
  • PRON 78: Ale v loyolskom kaštieli nič také nebolo .
  • PART 1: “ To nič , “ odvetila som , ale pripúšťam , že som bola sklamaná .
• sebe
  • PRON 42: Pritúľte sa k sebe tantricky !
  • ADV 1: Jamky a plôšky samé o sebe nepredstavujú nuly a jednotky binárneho zápisu .
• on
  • PRON 28: Aj on sa medzitým prezliekol .
  • X 1: V roku 2004 mu vychádza zbierka celkom nových básni Danger on Peaks .
• ne
  • PRON 10: Prednáša Bohu prosby ľudí a prihovárá sa za ne .
  • X 1: Vo vláde je aj jeden ne ‐ republikán : minister dopravy Norman Mineta , prvý minister ázijského pôvodu .
• čím
  • PRON 7: S čím som mala súhlasiť ? “ nechápala som .
  • ADV 3: V Jene strávil P . J . Šafárik dva roky , čím skončil tri semestre .

Morphology

The form / lemma ratio of PRON is 3.241379 (the average of all parts of speech is 1.802472).

The 1st highest number of forms (20) was observed with the lemma “on”: Jeho, ho, ich, im, jej, jemu, ju, mu, ne, neho, nej, nemu, nich, nim, nimi, ním, on, oni, ňom, ňu.

The 2nd highest number of forms (13) was observed with the lemma “ona”: ich, im, je, jej, ju, ne, nej, nich, nimi, ona, ony, ňou, ňu.

The 3rd highest number of forms (13) was observed with the lemma “ono”: ho, ich, im, mu, ne, neho, nemu, nich, nim, nimi, ním, ono, ňom.

PRON occurs with 8 features: PronType (6435; 100% instances), Case (3477; 54% instances), Number (3477; 54% instances), Reflex (3066; 48% instances), Person (2698; 42% instances), Gender (2081; 32% instances), Animacy (1025; 16% instances), Typo (3; 0% instances)

PRON occurs with 23 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, Person=1, Person=2, Person=3, PronType=Ind, PronType=Int,Rel, PronType=Neg, PronType=Prs, PronType=Tot, Reflex=Yes, Typo=Yes

PRON occurs with 125 feature combinations. The most frequent feature combination is PronType=Prs|Reflex=Yes (2956 tokens). Examples: sa, si, se

Relations

PRON nodes are attached to their parents using 21 different relations: expl:pv (2623; 41% instances), obj (1208; 19% instances), obl:arg (1074; 17% instances), nsubj (548; 9% instances), obl (439; 7% instances), expl:pass (221; 3% instances), nmod (88; 1% instances), iobj (73; 1% instances), root (41; 1% instances), dep (36; 1% instances), conj (26; 0% instances), discourse (25; 0% instances), ccomp (12; 0% instances), nsubj:pass (8; 0% instances), appos (3; 0% instances), orphan (3; 0% instances), acl (2; 0% instances), fixed (2; 0% instances), advcl (1; 0% instances), parataxis (1; 0% instances), xcomp (1; 0% instances)

Parents of PRON nodes belong to 11 different parts of speech: VERB (6124; 95% instances), NOUN (99; 2% instances), ADJ (95; 1% instances), (41; 1% instances), DET (19; 0% instances), NUM (18; 0% instances), PRON (14; 0% instances), ADV (12; 0% instances), PROPN (7; 0% instances), PART (5; 0% instances), CCONJ (1; 0% instances)

5474 (85%) PRON nodes are leaves.

838 (13%) PRON nodes have one child.

75 (1%) PRON nodes have two children.

48 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 7.

Children of PRON nodes are attached using 23 different relations: case (713; 60% instances), punct (116; 10% instances), advmod:emph (68; 6% instances), amod (41; 3% instances), det (27; 2% instances), cop (25; 2% instances), nmod (25; 2% instances), cc (21; 2% instances), acl:relcl (20; 2% instances), nsubj (19; 2% instances), conj (16; 1% instances), dep (16; 1% instances), appos (13; 1% instances), mark (13; 1% instances), orphan (12; 1% instances), xcomp (12; 1% instances), nummod (8; 1% instances), advmod (6; 1% instances), discourse (3; 0% instances), obl (2; 0% instances), vocative (2; 0% instances), aux (1; 0% instances), flat (1; 0% instances)

Children of PRON nodes belong to 14 different parts of speech: ADP (710; 60% instances), PUNCT (116; 10% instances), PART (63; 5% instances), NOUN (56; 5% instances), ADJ (48; 4% instances), DET (47; 4% instances), CCONJ (36; 3% instances), AUX (26; 2% instances), VERB (24; 2% instances), PRON (14; 1% instances), SCONJ (12; 1% instances), NUM (10; 1% instances), PROPN (10; 1% instances), ADV (8; 1% instances)

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