---
title: Two snow leopards were picked by the computer, but they snarl at eac… — Breeding programmes for rare animals:… · tree and pragmatics
description: Two snow leopards were picked by the computer, but they snarl at each other every day. What should the keepers do? Test 7 of lesson 113 «Breeding programmes for rare animals: studbooks and frozen zoos» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the que
---

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# Test 7 · Breeding programmes for rare animals: studbooks and frozen…

<!-- .ven lang=en -->
Two snow leopards were picked by the computer, but they snarl at each other every day. What should the keepers do?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 4 · wrong ✗ · **Who acts:** computer, leopards, keepers · **What happens:** pick, snarl, do · **To what, where:** Two snow leopards

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This is test 7 of lesson 113 «Breeding programmes for rare animals: studbooks and frozen zoos» 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/113-breeding-programmes-for-rare-animals/#t7).

## The question {#question}

<!-- .note -->
*Sentence 1:* Two snow leopards were picked by the computer, but they snarl at each other every day.

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t7:1
# text = Two snow leopards were picked by the computer, but they snarl at each other every day.
1	Two	two	NUM	CD	NumForm=Word|NumType=Card	3	nummod	_	_
2	snow	snow	NOUN	NN	Number=Sing	3	compound	_	_
3	leopards	leopard	NOUN	NNS	Number=Plur	5	nsubj:pass	_	_
4	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	5	aux:pass	_	_
5	picked	pick	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	by	by	ADP	IN	_	8	case	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	computer	computer	NOUN	NN	Number=Sing	5	obl	_	SpaceAfter=No
9	,	,	PUNCT	,	_	12	punct	_	_
10	but	but	CCONJ	CC	_	12	cc	_	_
11	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	12	nsubj	_	_
12	snarl	snarl	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	conj	_	_
13	at	at	ADP	IN	_	14	case	_	_
14	each	each	DET	DT	ExtPos=PRON|PronType=Rcp	12	obl	_	_
15	other	other	ADJ	JJ	Degree=Pos	14	fixed	_	_
16	every	every	DET	DT	PronType=Tot	17	det	_	_
17	day	day	NOUN	NN	Number=Sing	12	obl:unmarked	_	SpaceAfter=No
18	.	.	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **pick** | past · passive | the computer | Two snow leopards |  |  |  |  | vn chew-39.2 «NP V NP»: agent=Agent subject=Patient |
| 2 | **snarl** | present | leopards *= leopard* |  |  |  | day | at each | vn animal\_sounds-38 «NP V PP.stimulus»: agent=Agent at each=Stimulus |

<!-- .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.

<!-- .note -->
*Sentence 2:* What should the keepers do?

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t7:2
# text = What should the keepers do?
1	What	what	PRON	WP	PronType=Int	0	root	_	_
2	should	should	AUX	MD	VerbForm=Fin	5	aux	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	keepers	keeper	NOUN	NNS	Number=Plur	5	nsubj	_	_
5	do	do	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	acl:relcl	_	SpaceAfter=No
6	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | should | the keepers |  |  |  |  |  | vn act-114-1 «NP V»: agent=Agent |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Stop breeding snow leopards forever

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t7:o1:1
# text = Stop breeding snow leopards forever
1	Stop	stop	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	breeding	breed	VERB	VBG	VerbForm=Ger	1	xcomp	_	_
3	snow	snow	NOUN	NN	Number=Sing	4	compound	_	_
4	leopards	leopard	NOUN	NNS	Number=Plur	2	obj	_	_
5	forever	forever	ADV	RB	_	2	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **stop** | imperative | you *not said here* |  |  |  |  |  | vn stop-55.4-1-1 «NP V S\_ING»: agent=Affector clause=Eventuality |
| 2 | **breed** | gerund | you *not said here* | snow leopards |  |  |  | forever *property* | tree rules |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
Paint them to look like other leopards

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t7:o2:1
# text = Paint them to look like other leopards
1	Paint	paint	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	1	obj	_	_
3	to	to	PART	TO	_	4	mark	_	_
4	look	look	VERB	VB	VerbForm=Inf	1	advcl	_	_
5	like	like	ADP	IN	_	7	case	_	_
6	other	other	ADJ	JJ	Degree=Pos	7	amod	_	_
7	leopards	leopard	NOUN	NNS	Number=Plur	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **paint** | imperative | you *not said here* | them *= they* |  |  |  |  | vn image\_impression-25.1 «NP V NP.destination»: agent=Agent they=Destination |
| 2 | **look** | to-infinitive | you *not said here* |  |  |  |  | like other leopards | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |

### Option 3 {#o3}

<!-- .ven lang=en -->
Keep them together until they like each other

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t7:o3:1
# text = Keep them together until they like each other
1	Keep	keep	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	1	obj	_	_
3	together	together	ADV	RB	_	1	advmod	_	_
4	until	until	SCONJ	IN	_	6	mark	_	_
5	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	6	nsubj	_	_
6	like	like	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	advcl	_	_
7	each	each	DET	DT	ExtPos=PRON|PronType=Rcp	6	obj	_	_
8	other	other	ADJ	JJ	Degree=Pos	7	fixed	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **keep** | imperative | you *not said here* | them *= they* |  |  |  | together *property* | vn keep-15.2 «NP V NP»: agent=Agent they=Theme |
| 2 | **like** | present | they | each |  |  |  |  | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot each=Theme |

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

<!-- .ven lang=en -->
Try another pair from the studbook

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t7:o4:1
# text = Try another pair from the studbook
1	Try	try	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	another	another	DET	DT	PronType=Ind	3	det	_	_
3	pair	pair	NOUN	NN	Number=Sing	1	obj	_	_
4	from	from	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	studbook	studbook	NOUN	NN	Number=Sing	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **try** | imperative | you *not said here* | another pair |  | the studbook |  |  | vn try-61.1 «NP V NP»: agent=Agent pair=Eventuality |

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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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