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Treebank Statistics: UD_Afrikaans-AfriBooms: POS Tags: NOUN

There are 2779 NOUN lemmas (48%), 3168 NOUN types (49%) and 10458 NOUN tokens (21%). Out of 16 observed tags, the rank of NOUN is: 1 in number of lemmas, 1 in number of types and 1 in number of tokens.

The 10 most frequent NOUN lemmas: jaar, land, aansoek, leerder, regering, mens, inligting, diens, departement, gebruiker

The 10 most frequent NOUN types: jaar, regering, mense, aansoek, inligting, land, leerders, departement, staat, dienste

The 10 most frequent ambiguous lemmas: staat (NOUN 56, ADV 1), vorm (NOUN 50, VERB 9), werk (NOUN 42, VERB 37, ADJ 3), groei (NOUN 32, VERB 5, ADJ 1), deel (NOUN 31, VERB 9, ADV 5, ADJ 2), gebruik (VERB 78, NOUN 31), party (NOUN 27, DET 2), lewe (NOUN 26, VERB 2), reg (NOUN 26, ADJ 2), grond (NOUN 25, VERB 3, ADJ 1)

The 10 most frequent ambiguous types: staat (NOUN 50, ADV 1), werk (NOUN 36, VERB 36), vorm (NOUN 31, VERB 8), groei (NOUN 28, VERB 4), gebruik (VERB 72, NOUN 30), deel (NOUN 24, VERB 6, ADV 5), lewe (NOUN 21, VERB 2), leer (NOUN 18, VERB 12), rol (NOUN 17, VERB 1), handel (NOUN 5, VERB 4)

• staat
  • NOUN 50: Dit het tot ‘n verenigde staat gelei .
  • ADV 1: Ten opsigte van energie sal ons ook die werk bespoedig wat ons in staat sal stel om in ‘n groter mate op die opwekking van kernkrag , aardgas en verskeie vorme van hernubare energiebronne staat te maak .
• werk
  • NOUN 36: Ons vereis uitnemendheid en harde werk .
  • VERB 36: Deur saam te werk , kan ons meer bereik .
• vorm
  • NOUN 31: Vul die toepaslike vorm in en stuur dit aan die onderhoudsbeampte .
  • VERB 8: Taal vorm dus ons identiteit en ons kennis .
• groei
  • NOUN 28: Daarom is ons gedwing om ons vooruitsigte met betrekking tot groei en werkskepping af te skaal .
  • VERB 4: Ons langtermyn-infrastruktuurprogram sal ons help om vinniger te groei .
• 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 .
• deel
  • NOUN 24: Gaan na die Korting-blokkie in die deel Kliënttipes ( A ) van die Registrasie-gedeelte .
  • VERB 6: Dit beteken dat die man en vrou ‘n gelyke aandeel het in bates , geld en eiendom en dit beteken ook dat albei die skuld deel .
  • ADV 5: Neem as verantwoordelike burgers aan die lewe van die plaaslike , nasionale en wêreldgemeenskap deel .
• lewe
  • NOUN 21: Daarom plaas ek die oorblywende jare van my lewe in julle hande .
  • VERB 2: Dit is ‘n ideaal waarvoor ek hoop om te lewe en te bereik .
• leer
  • NOUN 18: Dit verskaf ‘n sterk kurrikulum om die taal van onderrig en leer ( TOL ) te ondersteun .
  • VERB 12: Hulle kan byvoorbeeld van ander lande en kulture leer .
• rol
  • NOUN 17: Laat ek spesifiek die rol van voormalige President PW Botha hier noem .
  • VERB 1: Dit was hy wat die bal aan die rol gesit het met gesprekke oor die moontlike vrylating van politieke gevangenes .
• handel
  • NOUN 5: Die aansoeker moet ‘n regspersoon wees , byvoorbeeld Johan Pieters Burger wat handel dryf as Diepsloot-stoetery .
  • VERB 4: Jy word aangeraai om voorlopige beskerming aan te vra vir gewasse waarvoor toetsing langer as ‘n jaar neem om af te handel .

Morphology

The form / lemma ratio of NOUN is 1.139978 (the average of all parts of speech is 1.120642).

The 1st highest number of forms (3) was observed with the lemma “belastingverpligting”: belastingverpligting, belastingverpligtinge, belastingverpligtings.

The 2nd highest number of forms (3) was observed with the lemma “bepaling”: bepaling, bepaling(s), bepalings.

The 3rd highest number of forms (3) was observed with the lemma “deel”: deel, deeltjie, dele.

NOUN occurs with 2 features: Number (10458; 100% instances), Degree (15; 0% instances)

NOUN occurs with 3 feature-value pairs: Degree=Dim, Number=Plur, Number=Sing

NOUN occurs with 4 feature combinations. The most frequent feature combination is Number=Sing (7518 tokens). Examples: jaar, regering, aansoek, inligting, land, departement, staat, toegang, webwerf, persoon

Relations

NOUN nodes are attached to their parents using 13 different relations: nmod (2647; 25% instances), obj (2304; 22% instances), obl (2189; 21% instances), conj (1375; 13% instances), nsubj (1064; 10% instances), dep (340; 3% instances), root (240; 2% instances), nsubj:pass (218; 2% instances), iobj (59; 1% instances), xcomp (12; 0% instances), appos (5; 0% instances), amod (4; 0% instances), flat (1; 0% instances)

Parents of NOUN nodes belong to 16 different parts of speech: VERB (5365; 51% instances), NOUN (4047; 39% instances), ADJ (296; 3% instances), (240; 2% instances), X (104; 1% instances), PRON (81; 1% instances), ADV (56; 1% instances), PROPN (50; 0% instances), AUX (45; 0% instances), SYM (44; 0% instances), NUM (42; 0% instances), ADP (36; 0% instances), DET (27; 0% instances), SCONJ (21; 0% instances), PART (3; 0% instances), CCONJ (1; 0% instances)

931 (9%) NOUN nodes are leaves.

2637 (25%) NOUN nodes have one child.

3340 (32%) NOUN nodes have two children.

3550 (34%) NOUN nodes have three or more children.

The highest child degree of a NOUN node is 11.

Children of NOUN nodes are attached using 19 different relations: det (5763; 26% instances), case (4733; 21% instances), amod (3156; 14% instances), nmod (2823; 13% instances), conj (1270; 6% instances), punct (1155; 5% instances), cc (1003; 5% instances), ccomp (651; 3% instances), dep (346; 2% instances), cop (275; 1% instances), advmod (248; 1% instances), nsubj (208; 1% instances), xcomp (189; 1% instances), nummod (151; 1% instances), obl (111; 0% instances), appos (51; 0% instances), aux (32; 0% instances), obj (27; 0% instances), mark (14; 0% instances)

Children of NOUN nodes belong to 16 different parts of speech: DET (5046; 23% instances), ADP (4653; 21% instances), NOUN (4047; 18% instances), ADJ (2544; 11% instances), PUNCT (1155; 5% instances), PRON (1072; 5% instances), CCONJ (992; 4% instances), VERB (968; 4% instances), AUX (308; 1% instances), ADV (257; 1% instances), SYM (213; 1% instances), X (212; 1% instances), PROPN (202; 1% instances), SCONJ (196; 1% instances), PART (175; 1% instances), NUM (166; 1% instances)

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