Treebank Statistics: UD_Afrikaans: POS Tags: ADV
There are 343 ADV
lemmas (6%), 359 ADV
types (6%) and 2034 ADV
tokens (4%).
Out of 16 observed tags, the rank of ADV
is: 4 in number of lemmas, 4 in number of types and 9 in number of tokens.
The 10 most frequent ADV
lemmas: nie ook in saam nog uit aan egter reeds slegs
The 10 most frequent ADV
types: nie ook in saam nog uit aan egter reeds slegs
The 10 most frequent ambiguous lemmas: nie (PART 267, ADV 210), in (ADP 818, ADV 86), uit (ADV 45, ADP 35), aan (ADP 295, ADV 43), nou (ADV 28, ADJ 1), op (ADP 354, ADV 26, NOUN 1), goed (ADJ 26, ADV 20, NOUN 16), so (SCONJ 20, ADV 19, PRON 1), af (ADV 18, ADP 10), lank (ADV 18, ADJ 10)
The 10 most frequent ambiguous types: nie (PART 267, ADV 208), in (ADP 743, ADV 86), uit (ADV 45, ADP 34), aan (ADP 291, ADV 43), op (ADP 342, ADV 26, NOUN 1), so (ADV 16, SCONJ 16), af (ADV 18, ADP 10), doeltreffend (ADV 15, ADJ 1), nodig (ADJ 32, ADV 15), duidelik (ADV 13, ADJ 5)
- nie
- in
- uit
- aan
- op
- ADP 342: Ons bou ‘n staat wat op effektiewe werkverrigting fokus .
- ADV 26: Kom ons hou op om gesteelde goedere te koop .
- NOUN 1: As ‘n individu ‘n belasbare inkomste verdien wat nie onderworpe is aan aftrekkings vir standaard inkomstebelasting op werknemers ( SIBW ) of die lopende betaalstelsel ( LBS ) , ( bv. rente , huur of besigheidsinkomste ) nie , moet hy of sy voorlopige belasting op hierdie inkomste betaal .
- so
- af
- doeltreffend
- ADV 15: Jou aansoek sal so gou en doeltreffend as moontlik hanteer word .
- ADJ 1: Soos wat die agbare lede weet , is sommige van hierdie inisiatiewe alreeds van stapel gestuur ; maar ons is seker dat indien dit op ‘n geïntegreerde en aanvullende wyse uitgevoer word , die uitwerking daarvan baie meer doeltreffend sal wees in die bekamping van misdaad .
- nodig
- duidelik
Morphology
The form / lemma ratio of ADV
is 1.046647 (the average of all parts of speech is 1.122045).
The 1st highest number of forms (3) was observed with the lemma “baie”: meer, mees, meeste.
The 2nd highest number of forms (3) was observed with the lemma “ver”: ver, verder, verre.
The 3rd highest number of forms (3) was observed with the lemma “vroeg”: vroeg, vroeër, vroeër.
ADV
occurs with 1 features: Degree (2034; 100% instances)
ADV
occurs with 3 feature-value pairs: Degree=Cmp
, Degree=Pos
, Degree=Sup
ADV
occurs with 3 feature combinations.
The most frequent feature combination is Degree=Pos
(1950 tokens).
Examples: nie ook in saam nog uit aan egter reeds slegs
Relations
ADV
nodes are attached to their parents using 10 different relations: advmod (1573; 77% instances), compound:prt (324; 16% instances), dep (67; 3% instances), conj (33; 2% instances), obl (24; 1% instances), mark (4; 0% instances), nmod (4; 0% instances), nummod (3; 0% instances), case (1; 0% instances), root (1; 0% instances)
Parents of ADV
nodes belong to 14 different parts of speech: VERB (1433; 70% instances), AUX (304; 15% instances), NOUN (137; 7% instances), ADV (59; 3% instances), ADJ (41; 2% instances), SCONJ (13; 1% instances), ADP (12; 1% instances), CCONJ (12; 1% instances), PRON (7; 0% instances), SYM (7; 0% instances), NUM (4; 0% instances), DET (3; 0% instances), PROPN (1; 0% instances), (1; 0% instances)
1789 (88%) ADV
nodes are leaves.
176 (9%) ADV
nodes have one child.
60 (3%) ADV
nodes have two children.
9 (0%) ADV
nodes have three or more children.
The highest child degree of a ADV
node is 3.
Children of ADV
nodes are attached using 12 different relations: dep (71; 22% instances), punct (63; 20% instances), cc (38; 12% instances), obl (38; 12% instances), conj (32; 10% instances), case (28; 9% instances), amod (22; 7% instances), advmod (16; 5% instances), det (5; 2% instances), ccomp (4; 1% instances), nmod (4; 1% instances), obj (2; 1% instances)
Children of ADV
nodes belong to 14 different parts of speech: PUNCT (63; 20% instances), ADV (59; 18% instances), NOUN (49; 15% instances), CCONJ (40; 12% instances), ADP (35; 11% instances), SCONJ (14; 4% instances), DET (13; 4% instances), SYM (12; 4% instances), ADJ (9; 3% instances), VERB (9; 3% instances), PROPN (8; 2% instances), PRON (6; 2% instances), NUM (3; 1% instances), X (3; 1% instances)