Treebank Statistics: UD_Spanish-AnCora: POS Tags: PRON
There are 60 PRON
lemmas (0%), 142 PRON
types (0%) and 25184 PRON
tokens (4%).
Out of 17 observed tags, the rank of PRON
is: 7 in number of lemmas, 8 in number of types and 8 in number of tokens.
The 10 most frequent PRON
lemmas: él, que, yo, uno, todo, quien, este, otro, ese, nada
The 10 most frequent PRON
types: que, se, lo, le, me, nos, uno, quien, la, les
The 10 most frequent ambiguous lemmas: él (PRON 11194, ADJ 1), que (PRON 8455, SCONJ 7855, CCONJ 2, VERB 1), uno (DET 9572, PRON 736, NOUN 12, NUM 8), todo (DET 881, PRON 414, NOUN 2), este (DET 1988, PRON 341, NOUN 12, ADJ 3, PROPN 1), otro (DET 741, PRON 316, ADJ 19), ese (DET 709, PRON 275, NOUN 2), nada (PRON 183, NOUN 23, ADV 16, PROPN 1), qué (PRON 162, DET 63, INTJ 3, PROPN 1), algo (PRON 155, ADV 20, NOUN 3, PROPN 1)
The 10 most frequent ambiguous types: que (PRON 8450, SCONJ 7818, CCONJ 2, VERB 1), le (PRON 1010, DET 2), uno (PRON 327, NOUN 11, NUM 6, DET 2), la (DET 18349, PRON 310), les (PRON 281, DET 7), todo (DET 263, PRON 263, NOUN 2), eso (PRON 199, NOUN 7), nada (PRON 163, NOUN 21, ADV 16, PROPN 1), una (DET 3727, PRON 149, NUM 2, VERB 2, NOUN 1), qué (PRON 122, DET 46, INTJ 3, PROPN 1)
- que
- PRON 8450: Rominger se llevó la etapa más bonita de lo que llevamos de carrera .
- SCONJ 7818: De ahí que Clifford Luyk presentase alineaciones clásicas .
- CCONJ 2: Resulta comprensible que , ante este fascinante programa , la gente anduviera nerviosa y expectante .
- VERB 1: El canciller informó , finalmente , de , pese a que últimamente no ha aparecido por el parlamento , y a que se siente acosado por los periodistas , que le hacen vivir una situación que no tiene nada que ver con los derechos humanos , no piensa renunciar a su mandato de diputado ni a la vida pública .
- le
- uno
- PRON 327: Ocupamos uno de los primeros lugares en cuanto a número de desempleados .
- NOUN 11: La federación , en un comunicado , recuerda que Colombia iniciará su retención el uno de octubre , fecha en la que comienza su cosecha de café .
- NUM 6: Tampoco parece decidido si jugará con uno o dos puntas , hecho que también condiciona la formación .
- DET 2: Cierto es que las grandes obras literarias de humor tienen siempre algo de desconcertante , de equívoco , que propicia su desvirtuamiento en uno u otro sentido .
- la
- les
- todo
- eso
- nada
- una
- DET 3727: Es una tragedia .
- PRON 149: - Ya sé qué ocurre - explicó una de mis hijas - .
- NUM 2: Hace poco más de una década , empleando la síntesis de Shirakawa de poliacetileno , se preparó por primera vez un polímero orgánico que presentaba una conductividad eléctrica comparable a la de los metales .
- VERB 2: Se lamenta de que España y Portugal vivan “ de espaldas “ , pero opina que el cine puede ser el eslabón que los una .
- NOUN 1: A la una de la tarde , hacía calor en este pueblo de poco más de 2.000 habitantes , pueblo famoso , como aquel de Zalamea donde también hubo un alcalde .
- qué
Morphology
The form / lemma ratio of PRON
is 2.366667 (the average of all parts of speech is 1.505808).
The 1st highest number of forms (15) was observed with the lemma “él”: consigo, ella, ellas, ello, ellos, la, las, le, les, lo, los, me, se, sí, él.
The 2nd highest number of forms (9) was observed with the lemma “ese”: esa, esas, ese, eso, esos, ésa, ésas, ése, ésos.
The 3rd highest number of forms (9) was observed with the lemma “este”: esta, estas, este, esto, estos, ésta, éstas, éste, éstos.
PRON
occurs with 13 features: PronType (25184; 100% instances), Person (12592; 50% instances), Case (12047; 48% instances), Number (10153; 40% instances), PrepCase (10080; 40% instances), Reflex (6689; 27% instances), Gender (5804; 23% instances), Definite (1151; 5% instances), NumType (178; 1% instances), Poss (72; 0% instances), Polite (56; 0% instances), Number[psor] (16; 0% instances), Degree (1; 0% instances)
PRON
occurs with 32 feature-value pairs: Case=Acc
, Case=Acc,Dat
, Case=Acc,Nom
, Case=Com
, Case=Dat
, Case=Nom
, Definite=Def
, Definite=Ind
, Degree=Abs
, Gender=Fem
, Gender=Masc
, NumType=Card
, Number=Plur
, Number=Sing
, Number[psor]=Plur
, Number[psor]=Sing
, Person=1
, Person=2
, Person=3
, Polite=Form
, Poss=Yes
, PrepCase=Npr
, PrepCase=Pre
, PronType=Dem
, PronType=Ind
, PronType=Int
, PronType=Int,Rel
, PronType=Neg
, PronType=Prs
, PronType=Rel
, PronType=Tot
, Reflex=Yes
PRON
occurs with 113 feature combinations.
The most frequent feature combination is PronType=Rel
(8453 tokens).
Examples: que, quien, quienes, cual, cuales
Relations
PRON
nodes are attached to their parents using 32 different relations: nsubj (7426; 29% instances), obj (4319; 17% instances), expl:pv (3212; 13% instances), obl:arg (2388; 9% instances), expl:pass (2233; 9% instances), obl (1914; 8% instances), det (1127; 4% instances), nmod (892; 4% instances), expl:impers (356; 1% instances), expl (294; 1% instances), fixed (245; 1% instances), conj (196; 1% instances), appos (165; 1% instances), root (159; 1% instances), ccomp (59; 0% instances), acl (45; 0% instances), advcl (38; 0% instances), obl:agent (23; 0% instances), xcomp (22; 0% instances), flat (15; 0% instances), dep (13; 0% instances), nsubj:pass (12; 0% instances), parataxis (7; 0% instances), advmod (6; 0% instances), compound (5; 0% instances), csubj (5; 0% instances), nsubj:outer (3; 0% instances), acl:relcl (1; 0% instances), case (1; 0% instances), cc (1; 0% instances), discourse (1; 0% instances), dislocated (1; 0% instances)
Parents of PRON
nodes belong to 17 different parts of speech: VERB (21694; 86% instances), NOUN (1189; 5% instances), ADJ (813; 3% instances), PRON (343; 1% instances), NUM (320; 1% instances), ADP (260; 1% instances), (159; 1% instances), AUX (136; 1% instances), PROPN (116; 0% instances), ADV (90; 0% instances), DET (41; 0% instances), SYM (15; 0% instances), INTJ (2; 0% instances), PART (2; 0% instances), SCONJ (2; 0% instances), CCONJ (1; 0% instances), PUNCT (1; 0% instances)
20840 (83%) PRON
nodes are leaves.
1846 (7%) PRON
nodes have one child.
1803 (7%) PRON
nodes have two children.
695 (3%) PRON
nodes have three or more children.
The highest child degree of a PRON
node is 12.
Children of PRON
nodes are attached using 33 different relations: case (2812; 34% instances), det (1517; 18% instances), punct (1009; 12% instances), nmod (766; 9% instances), acl (294; 4% instances), cop (290; 3% instances), advmod (250; 3% instances), amod (230; 3% instances), cc (214; 3% instances), nsubj (193; 2% instances), conj (172; 2% instances), mark (171; 2% instances), appos (98; 1% instances), advcl (54; 1% instances), obl (45; 1% instances), fixed (27; 0% instances), aux (24; 0% instances), nummod (24; 0% instances), acl:relcl (21; 0% instances), csubj (20; 0% instances), obj (13; 0% instances), compound (11; 0% instances), flat (11; 0% instances), dep (10; 0% instances), obl:arg (10; 0% instances), parataxis (6; 0% instances), expl:pass (4; 0% instances), xcomp (3; 0% instances), ccomp (2; 0% instances), discourse (1; 0% instances), expl:impers (1; 0% instances), expl:pv (1; 0% instances), nsubj:pass (1; 0% instances)
Children of PRON
nodes belong to 16 different parts of speech: ADP (2800; 34% instances), DET (1430; 17% instances), PUNCT (1009; 12% instances), NOUN (902; 11% instances), VERB (402; 5% instances), PRON (343; 4% instances), AUX (322; 4% instances), ADJ (292; 4% instances), ADV (248; 3% instances), CCONJ (204; 2% instances), SCONJ (161; 2% instances), PROPN (148; 2% instances), NUM (26; 0% instances), INTJ (16; 0% instances), PART (1; 0% instances), SYM (1; 0% instances)