---
title: «monkey's coming for my crisps, I'll just smile at it» What should y… — Big wild animals in cities: wild boar,… · tree and pragmatics
description: «monkey's coming for my crisps, I'll just smile at it» What should you do? Test 7 · ★★ of lesson 368 «Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards» 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 7 · ★★ · Big wild animals in cities: wild boar, deer, coyotes, monk…

<!-- .ven lang=en -->
«monkey's coming for my crisps, I'll just smile at it» What should you do?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** monkey, I, you · **What happens:** come, smile, do

<!-- .vabout -->
This is test 7 · ★★ of lesson 368 «Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards» 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/368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards/#t7).

## The question {#question}

```conllu
# sent_id = question:biology:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards:t7:1
# text = «monkey's coming for my crisps, I'll just smile at it» What should you do?
1	«	«	PUNCT	``	_	4	punct	_	SpaceAfter=No
2	monkey	monkey	NOUN	NN	Number=Sing	4	nsubj	_	SpaceAfter=No
3	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux	_	_
4	coming	come	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
5	for	for	ADP	IN	_	7	case	_	_
6	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
7	crisps	crisp	NOUN	NNS	Number=Plur	4	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	12	punct	_	_
9	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	12	nsubj	_	SpaceAfter=No
10	'll	will	AUX	MD	VerbForm=Fin	12	aux	_	_
11	just	just	ADV	RB	_	12	advmod	_	_
12	smile	smile	VERB	VB	VerbForm=Inf	4	conj	_	_
13	at	at	ADP	IN	_	14	case	_	_
14	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	12	obl	_	SpaceAfter=No
15	»	»	PUNCT	''	_	12	punct	_	_
16	What	what	PRON	WP	PronType=Int	19	obj	_	_
17	should	should	AUX	MD	VerbForm=Fin	19	aux	_	_
18	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	19	nsubj	_	_
19	do	do	VERB	VB	VerbForm=Inf	12	ccomp	_	SpaceAfter=No
20	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **come** *in a quote* | present · progressive | monkey |  |  |  |  | for my crisps | vn escape-51.1-1 «NP V»: agent=Theme |
| 2 | **smile** *in a quote* | future | I |  |  |  |  | at monkey | vn manner\_speaking-37.3 «NP V how S\_INF»: agent=Agent clause=Topic |
| 3 | **do** | should | you |  |  |  |  |  | vn act-114-1 «NP V NP»: agent=Agent what=Eventuality |

<!-- .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 -->
Grab its tail and pull it away from you

```conllu
# sent_id = question:biology:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards:t7:o1:1
# text = Grab its tail and pull it away from you
1	Grab	grab	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	3	nmod:poss	_	_
3	tail	tail	NOUN	NN	Number=Sing	1	obj	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	pull	pull	VERB	VB	Mood=Imp|VerbForm=Fin	1	conj	_	_
6	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	5	obj	_	_
7	away	away	ADV	RB	_	5	advmod	_	_
8	from	from	ADP	IN	_	9	case	_	_
9	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **grab** | imperative | you *not said here* | its tail |  |  |  |  | vn steal-10.5-1 «NP V NP»: agent=Agent tail=Theme |
| 2 | **pull away** | infinitive | you *not said here* | tail |  |  |  | from you; away *property* | tree rules |

### Option 2 {#o2}

<!-- .ven lang=en -->
Smile wide and show all your teeth so it knows that you are a friend

<!-- fold The tree, 15 words -->
```conllu
# sent_id = question:biology:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards:t7:o2:1
# text = Smile wide and show all your teeth so it knows that you are a friend
1	Smile	smile	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	wide	wide	ADV	RB	_	1	advmod	_	_
3	and	and	CCONJ	CC	_	4	cc	_	_
4	show	show	VERB	VB	Mood=Imp|VerbForm=Fin	1	conj	_	_
5	all	all	DET	PDT	PronType=Tot	7	det:predet	_	_
6	your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
7	teeth	tooth	NOUN	NNS	Number=Plur	4	obj	_	_
8	so	so	ADV	RB	_	10	advmod	_	_
9	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
10	knows	know	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	advcl	_	_
11	that	that	SCONJ	IN	_	15	mark	_	_
12	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	15	nsubj	_	_
13	are	be	AUX	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	15	cop	_	_
14	a	a	DET	DT	Definite=Ind|PronType=Art	15	det	_	_
15	friend	friend	NOUN	NN	Number=Sing	10	advcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **smile** | imperative | you *not said here* |  |  |  |  | wide *property* | vn manner\_speaking-37.3 «NP V»: agent=Agent |
| 2 | **show** | infinitive | you *not said here* | your teeth |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent tooth=Recipient |
| 3 | **know** | present | it |  |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V»: agent=Experiencer |
| 4 | **is a** | present | you | a friend |  |  |  |  | tree rules |

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

<!-- .ven lang=en -->
Not stare or show your teeth, put food away and walk calmly away

```conllu
# sent_id = question:biology:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards:t7:o3:1
# text = Not stare or show your teeth, put food away and walk calmly away
1	Not	not	PART	RB	Polarity=Neg	2	advmod	_	_
2	stare	stare	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
3	or	or	CCONJ	CC	_	4	cc	_	_
4	show	show	VERB	VB	Mood=Imp|VerbForm=Fin	2	conj	_	_
5	your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	6	nmod:poss	_	_
6	teeth	tooth	NOUN	NNS	Number=Plur	4	obj	_	SpaceAfter=No
7	,	,	PUNCT	,	_	8	punct	_	_
8	put	put	VERB	VB	Mood=Imp|VerbForm=Fin	2	conj	_	_
9	food	food	NOUN	NN	Number=Sing	8	obj	_	_
10	away	away	ADV	RB	_	8	advmod	_	_
11	and	and	CCONJ	CC	_	12	cc	_	_
12	walk	walk	VERB	VB	Mood=Imp|VerbForm=Fin	8	conj	_	_
13	calmly	calmly	ADV	RB	_	12	advmod	_	_
14	away	away	ADV	RB	_	12	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **stare** | imperative | you *not said here* |  |  |  |  |  | vn peer-30.3 «NP V PP.theme»: agent=Agent |
| 2 | **show** | infinitive | you *not said here* | your teeth |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent tooth=Recipient |
| 3 | **put away** | infinitive | you *not said here* | food |  |  |  | away *property* | vn invest-13.5.4-1 «NP V PP»: agent=Agent food=Goal |
| 4 | **walk away** | infinitive | you *not said here* |  |  |  |  | away, calmly *property* | vn resign-10.11-1 «NP V»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
Hold the crisps up high and wave them

```conllu
# sent_id = question:biology:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards:t7:o4:1
# text = Hold the crisps up high and wave them
1	Hold	hold	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	crisps	crisp	NOUN	NNS	Number=Plur	1	obj	_	_
4	up	up	ADP	RP	_	1	compound:prt	_	_
5	high	high	ADJ	JJ	Degree=Pos	1	xcomp	_	_
6	and	and	CCONJ	CC	_	7	cc	_	_
7	wave	wave	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	conj	_	_
8	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	7	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **hold up** | imperative | you *not said here* | the crisps |  |  |  | high *property* | vn support-15.3-1 «NP V NP»: agent=Pivot crisp=Theme |
| 2 | **wave** | present | you *not said here* | crisps *= crisp* |  |  |  |  | vn wink-40.3.1 «NP V NP»: agent=Agent they=Patient |

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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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