---
title: Why do scientists put camera traps in the forest instead of catching… — The tiger: the biggest and strongest c… · tree and pragmatics
description: Why do scientists put camera traps in the forest instead of catching tigers? Test 12 · ★ of lesson 19 «The tiger: the biggest and strongest cat, a solitary and cunning hunter» 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 12 · ★ · The tiger: the biggest and strongest cat, a solitary and c…

<!-- .ven lang=en -->
Why do scientists put camera traps in the forest instead of catching tigers?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** scientists · **What happens:** put, catch · **To what, where:** camera traps, forest, tigers

<!-- .vabout -->
This is test 12 · ★ of lesson 19 «The tiger: the biggest and strongest cat, a solitary and cunning hunter» 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/19-the-tiger/#t12).

## The question {#question}

```conllu
# sent_id = question:biology:19-the-tiger:t12:1
# text = Why do scientists put camera traps in the forest instead of catching tigers?
1	Why	why	ADV	WRB	PronType=Int	4	advmod	_	_
2	do	do	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	aux	_	_
3	scientists	scientist	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	put	put	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	camera	camera	NOUN	NN	Number=Sing	6	compound	_	_
6	traps	trap	NOUN	NNS	Number=Plur	4	obj	_	_
7	in	in	ADP	IN	_	9	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	forest	forest	NOUN	NN	Number=Sing	4	obl	_	_
10	instead	instead	ADV	RB	ExtPos=SCONJ	12	mark	_	_
11	of	of	ADP	IN	_	10	fixed	_	_
12	catching	catch	VERB	VBG	Tense=Pres|VerbForm=Part	4	advcl	_	_
13	tigers	tiger	NOUN	NNS	Number=Plur	12	obj	_	SpaceAfter=No
14	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **put** | present · do-support | scientists | camera traps |  | the forest |  |  | vn put-9.1-2 «NP V NP PP.destination»: agent=Agent trap=Theme in forest=Destination |
| 2 | **catch** | gerund | scientists *not said here* | tigers |  |  |  |  | vn get-13.5.1 «NP V NP»: agent=Agent tiger=Theme |

<!-- .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 -->
Catching tigers is easy but boring

```conllu
# sent_id = question:biology:19-the-tiger:t12:o1:1
# text = Catching tigers is easy but boring
1	Catching	catch	VERB	VBG	VerbForm=Ger	4	csubj	_	_
2	tigers	tiger	NOUN	NNS	Number=Plur	1	obj	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	easy	easy	ADJ	JJ	Degree=Pos	0	root	_	_
5	but	but	CCONJ	CC	_	6	cc	_	_
6	boring	boring	ADJ	JJ	Degree=Pos	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **catch** | gerund |  | tigers |  |  |  |  | vn get-13.5.1 «NP V NP»: agent=Agent tiger=Theme |
| 2 | **is** | present | Catching |  |  |  |  | easy *property* | tree rules |
| 3 | **be** |  | Catching *not said here* |  |  |  |  |  | tree rules |

### Option 2 {#o2}

<!-- .ven lang=en -->
Tigers like having their photos taken

```conllu
# sent_id = question:biology:19-the-tiger:t12:o2:1
# text = Tigers like having their photos taken
1	Tigers	tiger	NOUN	NNS	Number=Plur	6	nsubj	_	_
2	like	like	SCONJ	IN	_	3	mark	_	_
3	having	have	VERB	VBG	VerbForm=Ger	1	acl	_	_
4	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	5	nmod:poss	_	_
5	photos	photo	NOUN	NNS	Number=Plur	3	obj	_	_
6	taken	take	VERB	VBN	Tense=Past|VerbForm=Part	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **have** | gerund | Tigers *not said here* | Tigers's photos |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent photo=Patient |
| 2 | **take** | participle | Tigers |  |  |  |  |  | vn bring-11.3 «NP V NP»: agent=Agent |

### Option 3 · ✓ the right answer {#o3}

<!-- .ven lang=en -->
Each tiger's stripes are unique, so photos are enough to count them

```conllu
# sent_id = question:biology:19-the-tiger:t12:o3:1
# text = Each tiger's stripes are unique, so photos are enough to count them
1	Each	each	DET	DT	PronType=Tot	2	det	_	_
2	tiger	tiger	NOUN	NN	Number=Sing	4	nmod:poss	_	SpaceAfter=No
3	's	's	PART	POS	_	2	case	_	_
4	stripes	stripe	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	unique	unique	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
7	,	,	PUNCT	,	_	11	punct	_	_
8	so	so	ADV	RB	_	11	advmod	_	_
9	photos	photo	NOUN	NNS	Number=Plur	11	nsubj	_	_
10	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	11	cop	_	_
11	enough	enough	ADJ	JJ	Degree=Pos	6	conj	_	_
12	to	to	PART	TO	_	13	mark	_	_
13	count	count	VERB	VB	VerbForm=Inf	11	advcl	_	_
14	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	13	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | each tiger's stripes |  |  |  |  | unique *property* | tree rules |
| 2 | **is** | present | photos |  |  |  |  | enough *property* | tree rules |
| 3 | **count** | to-infinitive | photos *not said here* | photos *= photo* |  |  |  |  | vn multiply-108 «NP V NP»: agent=Agent they=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
Cameras keep tigers away from villages, so the forest stays safe for people

```conllu
# sent_id = question:biology:19-the-tiger:t12:o4:1
# text = Cameras keep tigers away from villages, so the forest stays safe for people
1	Cameras	camera	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	keep	keep	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	tigers	tiger	NOUN	NNS	Number=Plur	2	obj	_	_
4	away	away	ADV	RB	_	2	advmod	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	villages	village	NOUN	NNS	Number=Plur	4	obl	_	SpaceAfter=No
7	,	,	PUNCT	,	_	11	punct	_	_
8	so	so	ADV	RB	_	11	advmod	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	forest	forest	NOUN	NN	Number=Sing	11	nsubj	_	_
11	stays	stay	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
12	safe	safe	ADJ	JJ	Degree=Pos	11	xcomp	_	_
13	for	for	ADP	IN	_	14	case	_	_
14	people	people	NOUN	NNS	Number=Plur	11	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **keep** | present | Cameras | tigers |  |  |  | away *property* | vn keep-15.2 «NP V NP»: agent=Agent tiger=Theme |
| 2 | **stay** | present | the forest |  |  |  |  | for people; safe *property* | vn exist-47.1 «NP V»: agent=Theme |

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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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