---
title: Grey wolves hunt in family packs, chasing deer, elk or moose over lo… — How animals hunt · tree and pragmatics
description: Grey wolves hunt in family packs, chasing deer, elk or moose over long distances; they are built for stamina rather than speed, and they often pick out a young, old or sick animal that will tire first and is less likely to hurt them. Who acts: Grey wolves, wolves, young old animal. A sentence of the
---

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# How animals hunt, sentence 14

<!-- .ven lang=en -->
Grey wolves hunt in family packs, chasing deer, elk or moose over long distances; they are built for stamina rather than speed, and they often pick out a young, old or sick animal that will tire first and is less likely to hurt them.

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**Who acts:** Grey wolves, wolves, young old animal · **What happens:** hunt, chase, build, pick out, tire, be · **To what, where:** family packs, deer, wolves, young old animal

<!-- .vabout -->
This is a sentence of the lesson «How animals hunt» of the biology 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 (Grey wolves, wolves, young old animal), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:052-how-animals-hunt.lesson:14
# text = Grey wolves hunt in family packs, chasing deer, elk or moose over long distances; they are built for stamina rather than speed, and they often pick out a young, old or sick animal that will tire first and is less likely to hurt them.
# source = school lesson (ours)
# course = biology
# lesson = 052-how-animals-hunt.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): R2-punct-next ×1, R5-strong ×1, R7-rel-agree ×1, R8-pos-agree ×1
1	Grey	grey	ADJ	JJ	Degree=Pos	2	amod	_	_
2	wolves	wolf	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	hunt	hunt	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	in	in	ADP	IN	_	6	case	_	_
5	family	family	NOUN	NN	Number=Sing	6	compound	_	_
6	packs	pack	NOUN	NNS	Number=Plur	3	obl	_	_
7	,	,	PUNCT	,	_	9	punct	_	_
8	chasing	chase	VERB	VBG	VerbForm=Ger	3	advcl	_	Agree=R5-strong|Haiku=6:acl
9	deer	deer	NOUN	NNS	Number=Plur	8	obj	_	_
10	,	,	PUNCT	,	_	11	punct	_	_
11	elk	elk	NOUN	NNS	Number=Plur	9	conj	_	_
12	or	or	CCONJ	CC	_	13	cc	_	_
13	moose	moose	NOUN	NN	Number=Sing	11	conj	_	_
14	over	over	ADV	RB	_	15	advmod	_	_
15	long	long	ADJ	JJ	Degree=Pos	16	amod	_	_
16	distances	distance	NOUN	NNS	Number=Plur	8	obl	_	_
17	;	;	PUNCT	,	_	20	punct	_	Agree=R2-punct-next|Haiku=3:punct
18	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	20	nsubj:pass	_	_
19	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	20	aux:pass	_	_
20	built	build	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	parataxis	_	Agree=R7-rel-agree|Haiku=3:conj
21	for	for	ADP	IN	_	22	case	_	_
22	stamina	stamina	NOUN	NN	Number=Sing	20	obl	_	_
23	rather	rather	ADV	RB	ExtPos=CCONJ	25	cc	_	_
24	than	than	ADP	IN	_	23	fixed	_	_
25	speed	speed	NOUN	NN	Number=Sing	22	conj	_	_
26	,	,	PUNCT	,	_	30	punct	_	_
27	and	and	CCONJ	CC	_	30	cc	_	_
28	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	30	nsubj	_	_
29	often	often	ADV	RB	_	30	advmod	_	_
30	pick	pick	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
31	out	out	ADP	RP	_	30	compound:prt	_	Agree=R8-pos-agree|Haiku=30:compound:prt|HaikuPos=PART:RP:_
32	a	a	DET	DT	Definite=Ind|PronType=Art	38	det	_	_
33	young	young	ADJ	JJ	Degree=Pos	38	amod	_	_
34	,	,	PUNCT	,	_	35	punct	_	_
35	old	old	ADJ	JJ	Degree=Pos	38	amod	_	_
36	or	or	CCONJ	CC	_	37	cc	_	_
37	sick	sick	ADJ	JJ	Degree=Pos	35	conj	_	_
38	animal	animal	NOUN	NN	Number=Sing	30	obj	_	_
39	that	that	PRON	WDT	PronType=Rel	41	nsubj	_	_
40	will	will	AUX	MD	VerbForm=Fin	41	aux	_	_
41	tire	tire	VERB	VB	VerbForm=Inf	38	acl:relcl	_	_
42	first	first	ADV	RB	Degree=Pos|NumForm=Word|NumType=Ord	41	advmod	_	_
43	and	and	CCONJ	CC	_	46	cc	_	_
44	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	46	cop	_	_
45	less	less	ADV	RBR	Degree=Cmp	46	advmod	_	_
46	likely	likely	ADJ	JJ	Degree=Pos	41	conj	_	_
47	to	to	PART	TO	_	48	mark	_	_
48	hurt	hurt	VERB	VB	VerbForm=Inf	46	xcomp	_	_
49	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	48	obj	_	_
50	.	.	PUNCT	.	_	3	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 | **hunt** | present | Grey wolves |  |  | family packs |  |  | vn hunt-35.1 «NP V PP.theme PP.location»: agent=Agent in pack=Location |
| 2 | **chase** | gerund | Grey wolves *not said here* | deer and elk or moose |  |  |  | long distances *obl* | vn chase-51.6 «NP V NP»: agent=Agent deer=Theme |
| 3 | **build** | present · passive |  | wolves *= wolf* |  |  |  | for stamina rather speed | vn build-26.1-1 «NP V NP P.asset»: subject=Product for stamina=Asset |
| 4 | **pick out** | present | wolves *= wolf* | a young old animal |  |  |  | often *property* | vn chew-39.2 «NP V NP»: agent=Agent animal=Patient |
| 5 | **tire** | future | a young old animal |  |  |  |  | first *property* | vn amuse-31.1 «NP V ADV-Middle»: agent=Experiencer |
| 6 | **is** | present | a young old animal *not said here* |  |  |  |  | less, likely *property* | tree rules |
| 7 | **hurt** | to-infinitive | a young old animal *not said here* | wolves *= wolf* |  |  |  |  | vn hurt-40.8.3-2 «NP V NP»: agent=Experiencer they=Patient |

<!-- .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:biology:052-how-animals-hunt.lesson:14`.

**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): R2-punct-next ×1, R5-strong ×1, R7-rel-agree ×1, R8-pos-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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