---
title: «why would anyone want wolves back, they just eat stuff» What is the… — Wolves in Yellowstone, beavers in Brit… · tree and pragmatics
description: «why would anyone want wolves back, they just eat stuff» What is the best answer? Test 6 · ★ of lesson 283 «Wolves in Yellowstone, beavers in Britain and bringing nature back» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; 
---

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# Test 6 · ★ · Wolves in Yellowstone, beavers in Britain and bringing nat…

<!-- .ven lang=en -->
«why would anyone want wolves back, they just eat stuff» What is the best answer?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** anyone, wolves, best answer · **What happens:** want back, eat, be · **To what, where:** wolves, stuff · **Speech:** someone speaks here

<!-- .vabout -->
This is test 6 · ★ of lesson 283 «Wolves in Yellowstone, beavers in Britain and bringing nature back» of the biology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/biology/283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back/#t6).

## The question {#question}

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t6:1
# text = «why would anyone want wolves back, they just eat stuff» What is the best answer?
1	«	«	PUNCT	``	_	5	punct	_	SpaceAfter=No
2	why	why	ADV	WRB	PronType=Int	5	advmod	_	_
3	would	would	AUX	MD	VerbForm=Fin	5	aux	_	_
4	anyone	anyone	PRON	NN	Number=Sing|PronType=Ind	5	nsubj	_	_
5	want	want	VERB	VB	VerbForm=Inf	0	root	_	_
6	wolves	wolf	NOUN	NNS	Number=Plur	5	obj	_	_
7	back	back	ADV	RB	_	5	advmod	_	SpaceAfter=No
8	,	,	PUNCT	,	_	11	punct	_	_
9	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	11	nsubj	_	_
10	just	just	ADV	RB	_	11	advmod	_	_
11	eat	eat	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	parataxis	_	_
12	stuff	stuff	NOUN	NN	Number=Sing	11	obj	_	SpaceAfter=No
13	»	»	PUNCT	''	_	11	punct	_	_
14	What	what	PRON	WP	PronType=Int	11	parataxis	_	_
15	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	14	cop	_	_
16	the	the	DET	DT	Definite=Def|PronType=Art	18	det	_	_
17	best	good	ADJ	JJS	Degree=Sup	18	amod	_	_
18	answer	answer	NOUN	NN	Number=Sing	14	nsubj	_	SpaceAfter=No
19	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want back** *in a quote* | would | anyone | wolves |  |  |  |  | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot wolf=Theme |
| 2 | **eat** *in a quote* | present | wolves *= wolf* | stuff |  |  |  |  | tree rules |
| 3 | **is a** | present | the best answer |  |  |  |  |  | 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.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Wolves eat only grass

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t6:o1:1
# text = Wolves eat only grass
1	Wolves	wolf	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	eat	eat	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	only	only	ADV	RB	_	4	advmod	_	_
4	grass	grass	NOUN	NN	Number=Sing	2	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **eat** | present | Wolves | grass |  |  |  |  | vn eat-39.1-1 «NP V NP»: agent=Agent grass=Patient |

### Option 2 {#o2}

<!-- .ven lang=en -->
Wolves are only wanted so that tourists can take photos of them for their friends

<!-- fold The tree, 15 words -->
```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t6:o2:1
# text = Wolves are only wanted so that tourists can take photos of them for their friends
1	Wolves	wolf	NOUN	NNS	Number=Plur	4	nsubj:pass	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
3	only	only	ADV	RB	_	4	advmod	_	_
4	wanted	want	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	so	so	SCONJ	IN	ExtPos=SCONJ	9	mark	_	_
6	that	that	SCONJ	IN	_	5	fixed	_	_
7	tourists	tourist	NOUN	NNS	Number=Plur	9	nsubj	_	_
8	can	can	AUX	MD	VerbForm=Fin	9	aux	_	_
9	take	take	VERB	VB	VerbForm=Inf	4	xcomp	_	_
10	photos	photo	NOUN	NNS	Number=Plur	9	obj	_	_
11	of	of	ADP	IN	_	12	case	_	_
12	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	10	nmod	_	_
13	for	for	ADP	IN	_	15	case	_	_
14	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	15	nmod:poss	_	_
15	friends	friend	NOUN	NNS	Number=Plur	9	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | present · passive |  | Wolves |  |  |  |  | tree rules |
| 2 | **take** *not said to happen* | can | tourists | photos of Wolves |  |  |  | for Wolves's friends | vn get-13.5.1 «NP V NP PP.beneficiary»: agent=Agent photo=Theme for friend=Beneficiary |

### Option 3 {#o3}

<!-- .ven lang=en -->
They do not matter at all

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t6:o3:1
# text = They do not matter at all
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	_
2	do	do	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	aux	_	_
3	not	not	PART	RB	Polarity=Neg	4	advmod	_	_
4	matter	matter	VERB	VB	VerbForm=Inf	0	root	_	_
5	at	at	ADP	IN	_	6	case	_	_
6	all	all	DET	DT	PronType=Tot	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **matter** | present · do-support | They |  |  | all |  |  | vn matter-91 «NP V»: agent=Stimulus |

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Top predators shape the whole food web, helping trees, beavers and birds

```conllu
# sent_id = question:biology:283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back:t6:o4:1
# text = Top predators shape the whole food web, helping trees, beavers and birds
1	Top	top	ADJ	JJ	Degree=Pos	2	amod	_	_
2	predators	predator	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	shape	shape	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
5	whole	whole	ADJ	JJ	Degree=Pos	7	amod	_	_
6	food	food	NOUN	NN	Number=Sing	7	compound	_	_
7	web	web	NOUN	NN	Number=Sing	3	obj	_	SpaceAfter=No
8	,	,	PUNCT	,	_	9	punct	_	_
9	helping	help	VERB	VBG	Tense=Pres|VerbForm=Part	3	advcl	_	_
10	trees	tree	NOUN	NNS	Number=Plur	9	obj	_	SpaceAfter=No
11	,	,	PUNCT	,	_	12	punct	_	_
12	beavers	beaver	NOUN	NNS	Number=Plur	10	conj	_	_
13	and	and	CCONJ	CC	_	14	cc	_	_
14	birds	bird	NOUN	NNS	Number=Plur	10	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **shape** | present | Top predators | the whole food web |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset web=Product |
| 2 | **help** | gerund | Top predators *not said here* | trees and beavers and birds |  |  |  |  | vn help-72.1-1-1 «NP V NP»: agent=Agent tree=Beneficiary |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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