---
title: Measures include the expanded use of digital tools, such as CCTV cam… — Cape Town · tree and pragmatics
description: Measures include the expanded use of digital tools, such as CCTV cameras and UAVs; increased Highway Patrol presence; substantially increased numbers of Law Enforcement officers; dispatching specialized teams of officers to areas based on the types of localized crimes there; targeting areas of speci
---

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# Cape Town, sentence 328

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From Wikipedia, [«Cape Town»](https://en.wikipedia.org/wiki/Cape_Town), revision of the 2026-09-01 dump, [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). The trees and pragmatics of these pages, Mova's parse of that text, are CC BY-SA 4.0 too.

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Measures include the expanded use of digital tools, such as CCTV cameras and UAVs; increased Highway Patrol presence; substantially increased numbers of Law Enforcement officers; dispatching specialized teams of officers to areas based on the types of localized crimes there; targeting areas of specifically high crime; and lobbying the national government for more control (via the devolution of powers) over local policing.

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**Who acts:** Measures · **What happens:** include, expand, increase, dispatch, specialize, base · **To what, where:** expanded use, Highway presence, numbers, specialized teams, areas, types

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This is a sentence of the English Wikipedia article «Cape Town». The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Measures), what happens, when and where, as Mova's frames read it from the tree.

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**Mova's own parse.** This tree may be wrong. The article's note marks are left out of the parse.

## The tree {#tree}

```conllu
# sent_id = wikipedia:Cape_Town:328
# text = Measures include the expanded use of digital tools, such as CCTV cameras and UAVs; increased Highway Patrol presence; substantially increased numbers of Law Enforcement officers; dispatching specialized teams of officers to areas based on the types of localized crimes there; targeting areas of specifically high crime; and lobbying the national government for more control (via the devolution of powers) over local policing.
1	Measures	measure	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	include	include	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	expanded	expand	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	amod	_	_
5	use	use	NOUN	NN	Number=Sing	2	obj	_	_
6	of	of	ADP	IN	_	8	case	_	_
7	digital	digital	ADJ	JJ	Degree=Pos	8	amod	_	_
8	tools	tool	NOUN	NNS	Number=Plur	5	nmod	_	SpaceAfter=No
9	,	,	PUNCT	,	_	13	punct	_	_
10	such	such	ADJ	JJ	Degree=Pos|ExtPos=ADP	13	case	_	_
11	as	as	ADP	IN	_	10	fixed	_	_
12	CCTV	cctv	NOUN	NN	Number=Sing	13	compound	_	_
13	cameras	camera	NOUN	NNS	Number=Plur	8	nmod	_	_
14	and	and	CCONJ	CC	_	15	cc	_	_
15	UAVs	Uav	PROPN	NNPS	Number=Plur	13	conj	_	SpaceAfter=No
16	;	;	PUNCT	:	_	17	punct	_	_
17	increased	increase	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	conj	_	_
18	Highway	Highway	PROPN	NNP	Number=Sing	20	compound	_	_
19	Patrol	Patrol	PROPN	NNP	Number=Sing	18	flat	_	_
20	presence	presence	NOUN	NN	Number=Sing	17	obj	_	SpaceAfter=No
21	;	;	PUNCT	,	_	23	punct	_	_
22	substantially	substantially	ADV	RB	_	23	advmod	_	_
23	increased	increase	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	2	conj	_	_
24	numbers	number	NOUN	NNS	Number=Plur	23	obj	_	_
25	of	of	ADP	IN	_	28	case	_	_
26	Law	law	ADJ	JJ	Degree=Pos	28	amod	_	_
27	Enforcement	enforcement	NOUN	NN	Number=Sing	28	compound	_	_
28	officers	officer	NOUN	NNS	Number=Plur	24	nmod	_	SpaceAfter=No
29	;	;	PUNCT	:	_	30	punct	_	_
30	dispatching	dispatch	VERB	VBG	Tense=Pres|VerbForm=Part	2	conj	_	_
31	specialized	specialize	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	32	amod	_	_
32	teams	team	NOUN	NNS	Number=Plur	30	obj	_	_
33	of	of	ADP	IN	_	34	case	_	_
34	officers	officer	NOUN	NNS	Number=Plur	32	nmod	_	_
35	to	to	ADP	IN	_	36	case	_	_
36	areas	area	NOUN	NNS	Number=Plur	30	obl	_	_
37	based	base	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	36	acl	_	_
38	on	on	ADP	IN	_	40	case	_	_
39	the	the	DET	DT	Definite=Def|PronType=Art	40	det	_	_
40	types	type	NOUN	NNS	Number=Plur	37	obl	_	_
41	of	of	ADP	IN	_	43	case	_	_
42	localized	localize	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	43	amod	_	_
43	crimes	crime	NOUN	NNS	Number=Plur	40	nmod	_	_
44	there	there	ADV	RB	PronType=Dem	43	advmod	_	SpaceAfter=No
45	;	;	PUNCT	:	_	46	punct	_	_
46	targeting	target	VERB	VBG	Tense=Pres|VerbForm=Part	2	advcl	_	_
47	areas	area	NOUN	NNS	Number=Plur	46	obj	_	_
48	of	of	ADP	IN	_	51	case	_	_
49	specifically	specifically	ADV	RB	_	50	advmod	_	_
50	high	high	ADJ	JJ	Degree=Pos	51	amod	_	_
51	crime	crime	NOUN	NN	Number=Sing	47	nmod	_	SpaceAfter=No
52	;	;	PUNCT	:	_	54	punct	_	_
53	and	and	CCONJ	CC	_	54	cc	_	_
54	lobbying	lobby	VERB	VBG	Tense=Pres|VerbForm=Part	2	advcl	_	_
55	the	the	DET	DT	Definite=Def|PronType=Art	57	det	_	_
56	national	national	ADJ	JJ	Degree=Pos	57	amod	_	_
57	government	government	NOUN	NN	Number=Sing	54	obj	_	_
58	for	for	ADP	IN	_	60	case	_	_
59	more	more	ADJ	JJR	Degree=Cmp	60	amod	_	_
60	control	control	NOUN	NN	Number=Sing	54	obl	_	_
61	(	(	PUNCT	-LRB-	_	64	punct	_	SpaceAfter=No
62	via	via	ADP	IN	_	64	case	_	_
63	the	the	DET	DT	Definite=Def|PronType=Art	64	det	_	_
64	devolution	devolution	NOUN	NN	Number=Sing	60	appos	_	_
65	of	of	ADP	IN	_	66	case	_	_
66	powers	power	NOUN	NNS	Number=Plur	64	nmod	_	SpaceAfter=No
67	)	)	PUNCT	-RRB-	_	64	punct	_	_
68	over	over	ADV	RB	_	69	advmod	_	_
69	local	local	ADJ	JJ	Degree=Pos	64	parataxis	_	_
70	policing	police	VERB	VBG	Tense=Pres|VerbForm=Part	69	advcl	_	SpaceAfter=No
71	.	.	PUNCT	.	_	2	punct	_	_
```

## Pragmatics {#pragmatics}

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **include** | present | Measures | the expanded use of digital tools such CCTV cameras and UAVs |  |  |  |  | vn involve-107.1 «NP V NP»: agent=Agent use=Theme |
| 2 | **expand** | participle |  |  |  |  |  |  | vn other\_cos-45.4 «NP.patient V»: agent=Patient |
| 3 | **increase** | participle | Measures *not said here* | Highway presence |  |  |  |  | vn caused\_calibratable\_cos-45.6.2-1 «NP V NP.patient»: agent=Causer presence=Patient |
| 4 | **increase** | past | Measures *not said here* | numbers of Law Enforcement officers |  |  |  | substantially *property* | vn caused\_calibratable\_cos-45.6.2-1 «NP V NP.patient»: agent=Causer number=Patient |
| 5 | **dispatch** | gerund | Measures *not said here* | specialized teams of officers |  | areas |  |  | vn send-11.1 «NP V NP PP.destination»: agent=Agent team=Theme to area=Destination |
| 6 | **specialize** | participle |  |  |  |  |  |  | tree rules |
| 7 | **base** | participle |  | areas *not said here* |  | the types of localized crimes |  |  | vn base-97.1 «NP V NP PP.source»: agent=Agent on type=Source |
| 8 | **localize** | participle |  |  |  |  |  |  | tree rules |
| 9 | **target** | gerund | Measures *not said here* | areas of high crime |  |  |  |  | vn confront-98 «NP V NP»: agent=Agent area=Theme |
| 10 | **lobby** | gerund | Measures *not said here* | the national government |  |  |  | for more control | vn urge-58.1-1-1 «NP V NP»: agent=Agent government=Recipient |
| 11 | **police** | gerund | Measures *not said here* |  |  |  |  |  | vn captain-29.8-1 «NP V PP.beneficiary»: agent=Agent |
| 12 | **use** |  |  | digital tools such CCTV cameras and UAVs |  |  |  |  | nom use «act transitive»: of=patient |
| 13 | **type** |  |  | localized crimes |  |  |  |  | nom type «cognition transitive»: of=patient |
| 14 | **devolve** |  |  | powers |  |  |  |  | nom devolution «process transitive»: of=patient |

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One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

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**Text:** the English Wikipedia, «Cape Town», revision of the 2026-09-01 dump, CC BY-SA 4.0. **Tree:** Mova's own parse, CC BY-SA 4.0 as the text is. **Frames:** Mova's frames reader (`prag`), the article read in order, CC BY-SA 4.0.

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