---
title: The hot savanna of Africa, with scattered trees, feeds zebras, wilde… — Deserts, rainforests and grasslands · tree and pragmatics
description: The hot savanna of Africa, with scattered trees, feeds zebras, wildebeest and lions; the cooler steppes of Ukraine and Asia and the prairies of North America have very rich black soil, built from grass roots over thousands of years, and are now great farmlands for wheat. Who acts: hot savanna, coole
---

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# Deserts, rainforests and grasslands, sentence 8

<!-- .ven lang=en -->
The hot savanna of Africa, with scattered trees, feeds zebras, wildebeest and lions; the cooler steppes of Ukraine and Asia and the prairies of North America have very rich black soil, built from grass roots over thousands of years, and are now great farmlands for wheat.

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**Who acts:** hot savanna, cooler steppes · **What happens:** feed, have, build, be · **To what, where:** zebras, rich black soil, grass roots, great farmlands

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This is a sentence of the lesson «Deserts, rainforests and grasslands» of the world course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (hot savanna, cooler steppes), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:world:066-deserts-rainforests-grasslands.lesson:8
# text = The hot savanna of Africa, with scattered trees, feeds zebras, wildebeest and lions; the cooler steppes of Ukraine and Asia and the prairies of North America have very rich black soil, built from grass roots over thousands of years, and are now great farmlands for wheat.
# source = school lesson (ours)
# course = world
# lesson = 066-deserts-rainforests-grasslands.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×1
1	The	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
2	hot	hot	ADJ	JJ	Degree=Pos	3	amod	_	_
3	savanna	savanna	NOUN	NN	Number=Sing	11	nsubj	_	_
4	of	of	ADP	IN	_	5	case	_	_
5	Africa	Africa	PROPN	NNP	Number=Sing	3	nmod	_	_
6	,	,	PUNCT	,	_	9	punct	_	_
7	with	with	ADP	IN	_	9	case	_	_
8	scattered	scatter	ADJ	VBN	_	9	amod	_	_
9	trees	tree	NOUN	NNS	Number=Plur	3	nmod	_	_
10	,	,	PUNCT	,	_	12	punct	_	_
11	feeds	feed	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	31	parataxis	_	_
12	zebras	zebra	NOUN	NNS	Number=Plur	11	obj	_	_
13	,	,	PUNCT	,	_	14	punct	_	_
14	wildebeest	wildebeest	NOUN	NNS	Number=Plur	12	conj	_	Agree=R7-rel-agree|Haiku=12:appos|HaikuPos=NOUN:NN:Number=Sing
15	and	and	CCONJ	CC	_	16	cc	_	_
16	lions	lion	NOUN	NNS	Number=Plur	14	conj	_	_
17	;	;	PUNCT	,	_	20	punct	_	_
18	the	the	DET	DT	Definite=Def|PronType=Art	20	det	_	_
19	cooler	cool	ADJ	JJR	Degree=Cmp	20	amod	_	_
20	steppes	steppe	NOUN	NNS	Number=Plur	31	nsubj	_	_
21	of	of	ADP	IN	_	22	case	_	_
22	Ukraine	Ukraine	PROPN	NNP	Number=Sing	20	nmod	_	_
23	and	and	CCONJ	CC	_	24	cc	_	_
24	Asia	Asia	PROPN	NNP	Number=Sing	22	conj	_	_
25	and	and	CCONJ	CC	_	27	cc	_	_
26	the	the	DET	DT	Definite=Def|PronType=Art	27	det	_	_
27	prairies	prairie	NOUN	NNS	Number=Plur	22	conj	_	_
28	of	of	ADP	IN	_	30	case	_	_
29	North	North	PROPN	NNP	Number=Sing	30	compound	_	_
30	America	America	PROPN	NNP	Number=Sing	27	nmod	_	_
31	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
32	very	very	ADV	RB	_	33	advmod	_	_
33	rich	rich	ADJ	JJ	Degree=Pos	35	amod	_	_
34	black	black	ADJ	JJ	Degree=Pos	35	amod	_	_
35	soil	soil	NOUN	NN	Number=Sing	31	obj	_	_
36	,	,	PUNCT	,	_	37	punct	_	_
37	built	build	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	35	acl	_	_
38	from	from	ADP	IN	_	40	case	_	_
39	grass	grass	NOUN	NN	Number=Sing	40	compound	_	_
40	roots	root	NOUN	NNS	Number=Plur	37	obl	_	_
41	over	over	ADP	IN	_	42	case	_	_
42	thousands	thousand	NOUN	NNS	Number=Plur	37	obl	_	Agree=R5-strong|Haiku=40:nmod
43	of	of	ADP	IN	_	44	case	_	_
44	years	year	NOUN	NNS	Number=Plur	42	nmod	_	_
45	,	,	PUNCT	,	_	50	punct	_	_
46	and	and	CCONJ	CC	_	50	cc	_	_
47	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	50	cop	_	_
48	now	now	ADV	RB	_	50	advmod	_	_
49	great	great	ADJ	JJ	Degree=Pos	50	amod	_	_
50	farmlands	farmland	NOUN	NNS	Number=Plur	31	conj	_	_
51	for	for	ADP	IN	_	52	case	_	_
52	wheat	wheat	NOUN	NN	Number=Sing	50	nmod	_	_
53	.	.	PUNCT	.	_	31	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **feed** | present | the hot savanna of Africa with scattered trees |  | zebras and wildebeest and lions |  |  |  | vn feeding-39.7 «NP V NP»: agent=Agent zebra=Recipient |
| 2 | **have** | present | the cooler steppes of Ukraine and Asia and the prairies of North America | rich black soil |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent soil=Patient |
| 3 | **build** | participle |  | rich black soil *not said here* |  | grass roots |  | over thousands of years | vn build-26.1-1 «NP.asset V PP»: agent=Asset from root=Material |
| 4 | **is a** | present | the cooler steppes of Ukraine and Asia and the prairies of North America *not said here* | great farmlands |  |  | now | for wheat | tree rules |

<!-- .note -->
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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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:world:066-deserts-rainforests-grasslands.lesson:8`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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