home edit page issue tracker

Treebank Statistics: UD_Afrikaans-AfriBooms: POS Tags: VERB

There are 779 VERB lemmas (14%), 949 VERB types (15%) and 4446 VERB tokens (9%). Out of 16 observed tags, the rank of VERB is: 2 in number of lemmas, 2 in number of types and 5 in number of tokens.

The 10 most frequent VERB lemmas: doen, maak, het, stel, gebruik, verbeter, verseker, betaal, verskaf, neem

The 10 most frequent VERB types: doen, maak, gebruik, verbeter, het, verseker, stel, betaal, verskaf, gaan

The 10 most frequent ambiguous lemmas: doen (VERB 138, NOUN 1), het (AUX 416, VERB 99), stel (VERB 79, NOUN 1), gebruik (VERB 78, NOUN 31), verbeter (VERB 68, ADJ 2), neem (VERB 45, NOUN 1), gee (VERB 43, ADJ 4), skep (VERB 37, NOUN 4, ADJ 3, ADV 1), werk (NOUN 42, VERB 37, ADJ 3), ontwikkel (VERB 31, ADJ 5)

The 10 most frequent ambiguous types: doen (VERB 100, NOUN 1), gebruik (VERB 72, NOUN 30), het (AUX 415, VERB 67), stel (VERB 52, NOUN 1), werk (NOUN 36, VERB 36), neem (VERB 28, NOUN 1), laat (VERB 21, ADJ 5, ADV 1), skep (VERB 27, NOUN 4), sorg (VERB 25, NOUN 2), vind (VERB 18, NOUN 2)

• doen
  • VERB 100: Deur saam te werk kan ons meer doen .
  • NOUN 1: Die doen en late van hierdie 30 000 individue sal oor ‘n lang tydperk gevolg word om ons begrip van sake soos migrasie , skuiwe in die arbeidsmark , mobiliteit tussen generasies onderling en huishoudelike inligting en ontbinding te verhoog .
• gebruik
  • VERB 72: Die kodes wat gebruik word , moet duidelik en verstaanbaar vir leerders en ouers wees .
  • NOUN 30: Die gebruik van ‘n tema laat die leerder toe om woordeskat wat by die onderwerp aansluit , op te bou .
• het
  • AUX 415: Dit het tot ‘n verenigde staat gelei .
  • VERB 67: Ons het almal ‘n rol om te speel .
• stel
  • VERB 52: Die agent by die oproepsentrum sal sekere vrae aan jou stel .
  • NOUN 1: Begryp dat die wêreld ‘n stel verwante stelsels is waarin probleme nie in isolasie opgelos word nie .
• werk
  • NOUN 36: Ons vereis uitnemendheid en harde werk .
  • VERB 36: Deur saam te werk , kan ons meer bereik .
• neem
  • VERB 28: Soms neem dit lank om PDF-dokumente oop te maak .
  • NOUN 1: Die Blou Sertifikaat word uitgereik wanneer die neem van die monster nie ‘n geakkrediteerde laboratorium se verantwoordelikheid is nie , en die geakkrediteerde laboratorium slegs vir die toets van die monster verantwoordelik is .
• laat
  • VERB 21: Stel in die eerste plek vas watter dokument jy wil laat attesteer .
  • ADJ 5: Versuim om dit te doen , sal lei tot rente en boetes op laat betalings en bykomende belasting op opgawes wat laat ingedien is .
  • ADV 1: Versuim om dit te doen , sal lei tot rente en boetes op laat betalings en bykomende belasting op opgawes wat laat ingedien is .
• skep
  • VERB 27: Beleidsverandering moet fokus op ingrypings om werksgeleenthede vir jongmense te skep .
  • NOUN 4: Die integrasie van hierdie taalaspekte deur die skep en interpretasie van tekste is dus ‘n sentrale beginsel van die Tale-leerareaverklaring .
• sorg
  • VERB 25: Maar niemand behalwe onsself kan sorg dat hierdie droom verwesenlik word nie .
  • NOUN 2: Hierdie poste is in areas soos konstruksie , tuis- en gemeenskapsgebaseerde sorg en omgewingsprojekte .
• vind
  • VERB 18: Dit vind deur rapportering plaas .
  • NOUN 2: Die uitdaging wat ons in die vind van oplossings vir hierdie kwessie in die gesig staar , het min met beleid te make .

Morphology

The form / lemma ratio of VERB is 1.218228 (the average of all parts of speech is 1.120642).

The 1st highest number of forms (3) was observed with the lemma “het”: gehad, het, hê.

The 2nd highest number of forms (3) was observed with the lemma “maak”: gemaak, maak, make.

The 3rd highest number of forms (2) was observed with the lemma “aanbied”: aanbied, aangebied.

VERB occurs with 3 features: Tense (4446; 100% instances), VerbForm (4446; 100% instances), Subcat (4442; 100% instances)

VERB occurs with 8 feature-value pairs: Subcat=Intr, Subcat=Prep, Subcat=Tran, Tense=Past, Tense=Pres, VerbForm=Fin, VerbForm=Fin,Inf, VerbForm=Part

VERB occurs with 8 feature combinations. The most frequent feature combination is Subcat=Tran|Tense=Pres|VerbForm=Fin,Inf (2873 tokens). Examples: doen, gebruik, maak, verbeter, verseker, stel, het, verskaf, betaal, bereik

Relations

VERB nodes are attached to their parents using 10 different relations: root (1506; 34% instances), ccomp (908; 20% instances), dep (666; 15% instances), obl (611; 14% instances), conj (385; 9% instances), xcomp (313; 7% instances), obj (37; 1% instances), amod (12; 0% instances), nmod (7; 0% instances), csubj (1; 0% instances)

Parents of VERB nodes belong to 16 different parts of speech: VERB (1605; 36% instances), (1506; 34% instances), NOUN (968; 22% instances), ADJ (137; 3% instances), SCONJ (71; 2% instances), PRON (70; 2% instances), AUX (30; 1% instances), ADP (21; 0% instances), ADV (12; 0% instances), PROPN (11; 0% instances), DET (5; 0% instances), SYM (3; 0% instances), X (3; 0% instances), NUM (2; 0% instances), CCONJ (1; 0% instances), PART (1; 0% instances)

61 (1%) VERB nodes are leaves.

91 (2%) VERB nodes have one child.

336 (8%) VERB nodes have two children.

3958 (89%) VERB nodes have three or more children.

The highest child degree of a VERB node is 14.

Children of VERB nodes are attached using 22 different relations: obl (2680; 14% instances), obj (2615; 13% instances), punct (2458; 13% instances), nsubj (2282; 12% instances), aux (1490; 8% instances), advmod (1390; 7% instances), mark (1008; 5% instances), amod (952; 5% instances), aux:pass (855; 4% instances), case (832; 4% instances), dep (713; 4% instances), nsubj:pass (496; 3% instances), cc (424; 2% instances), conj (357; 2% instances), compound:prt (324; 2% instances), ccomp (180; 1% instances), xcomp (167; 1% instances), nmod (70; 0% instances), iobj (59; 0% instances), cop (44; 0% instances), det (6; 0% instances), csubj (1; 0% instances)

Children of VERB nodes belong to 16 different parts of speech: NOUN (5365; 28% instances), PUNCT (2458; 13% instances), AUX (2404; 12% instances), PRON (2310; 12% instances), VERB (1605; 8% instances), ADV (1590; 8% instances), PART (1159; 6% instances), ADP (897; 5% instances), SCONJ (657; 3% instances), CCONJ (479; 2% instances), ADJ (118; 1% instances), PROPN (109; 1% instances), X (102; 1% instances), SYM (97; 0% instances), DET (43; 0% instances), NUM (10; 0% instances)

© 2014–2024 Universal Dependencies contributors. Site powered by Annodoc and brat

.