---
title: In Tom and Jerry, Jerry steals a big wedge of cheese. If you set a h… — Cartoon pets and animal myths put right · tree and pragmatics
description: In Tom and Jerry, Jerry steals a big wedge of cheese. If you set a humane trap for a real mouse, which bait would work best? Test 3 · ★★ of lesson 228 «Cartoon pets and animal myths put right» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and
---

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# Test 3 · ★★ · Cartoon pets and animal myths put right

<!-- .ven lang=en -->
In Tom and Jerry, Jerry steals a big wedge of cheese. If you set a humane trap for a real mouse, which bait would work best?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** Jerry, you, real mouse · **What happens:** steal, set, work · **To what, where:** big wedge, Tom, humane trap

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This is test 3 · ★★ of lesson 228 «Cartoon pets and animal myths put right» 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/228-cartoon-pets-and-animal-myths-put-right/#t3).

## The question {#question}

<!-- .note -->
*Sentence 1:* In Tom and Jerry, Jerry steals a big wedge of cheese.

```conllu
# sent_id = question:biology:228-cartoon-pets-and-animal-myths-put-right:t3:1
# text = In Tom and Jerry, Jerry steals a big wedge of cheese.
1	In	in	ADP	IN	_	2	case	_	_
2	Tom	Tom	PROPN	NNP	Number=Sing	7	obl	_	_
3	and	and	CCONJ	CC	_	4	cc	_	_
4	Jerry	Jerry	PROPN	NNP	Number=Sing	2	conj	_	SpaceAfter=No
5	,	,	PUNCT	,	_	2	punct	_	_
6	Jerry	Jerry	PROPN	NNP	Number=Sing	7	nsubj	_	_
7	steals	steal	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
9	big	big	ADJ	JJ	Degree=Pos	10	amod	_	_
10	wedge	wedge	NOUN	NN	Number=Sing	7	obj	_	_
11	of	of	ADP	IN	_	12	case	_	_
12	cheese	cheese	NOUN	NN	Number=Sing	10	nmod	_	SpaceAfter=No
13	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **steal** | present | Jerry | a big wedge of cheese |  | Tom and Jerry |  |  | vn appear-48.1.1 «PP.location V NP»: agent=Location wedge=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.

<!-- .note -->
*Sentence 2:* If you set a humane trap for a real mouse, which bait would work best?

```conllu
# sent_id = question:biology:228-cartoon-pets-and-animal-myths-put-right:t3:2
# text = If you set a humane trap for a real mouse, which bait would work best?
1	If	if	SCONJ	IN	_	3	mark	_	_
2	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	3	nsubj	_	_
3	set	set	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	0	root	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
5	humane	humane	ADJ	JJ	Degree=Pos	6	amod	_	_
6	trap	trap	NOUN	NN	Number=Sing	3	obj	_	_
7	for	for	ADP	IN	_	10	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
9	real	real	ADJ	JJ	Degree=Pos	10	amod	_	_
10	mouse	mouse	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
11	,	,	PUNCT	,	_	15	punct	_	_
12	which	which	PRON	WDT	PronType=Rel	15	nsubj	_	_
13	bait	bait	NOUN	NN	Number=Sing	15	nsubj	_	_
14	would	would	AUX	MD	VerbForm=Fin	15	aux	_	_
15	work	work	VERB	VB	VerbForm=Inf	10	conj	_	_
16	best	well	ADV	RBS	Degree=Sup	15	advmod	_	SpaceAfter=No
17	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **set** | present | you | a humane trap |  |  |  | for a real mouse | vn preparing-26.3-2 «NP V NP PP.beneficiary»: agent=Agent trap=Patient for mouse=Beneficiary |
| 2 | **work** | would | a real mouse |  |  |  |  | well *property* | vn employment-95.3 «NP V»: agent=Agent |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
A slice of lemon

```conllu
# sent_id = question:biology:228-cartoon-pets-and-animal-myths-put-right:t3:o1:1
# text = A slice of lemon
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	slice	slice	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	lemon	lemon	NOUN	NN	Number=Sing	2	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **slice** |  |  | lemon |  |  |  |  | nom slice «possession transitive»: of=patient |

### Option 2 · ← Mova's choice · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Peanut butter

```conllu
# sent_id = question:biology:228-cartoon-pets-and-animal-myths-put-right:t3:o2:1
# text = Peanut butter
1	Peanut	peanut	NOUN	NN	Number=Sing	2	compound	_	_
2	butter	butter	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 3 {#o3}

<!-- .ven lang=en -->
A cube of cheese

```conllu
# sent_id = question:biology:228-cartoon-pets-and-animal-myths-put-right:t3:o3:1
# text = A cube of cheese
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	cube	cube	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	cheese	cheese	NOUN	NN	Number=Sing	2	nmod	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 4 {#o4}

<!-- .ven lang=en -->
A carrot stick

```conllu
# sent_id = question:biology:228-cartoon-pets-and-animal-myths-put-right:t3:o4:1
# text = A carrot stick
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	carrot	carrot	NOUN	NN	Number=Sing	3	compound	_	_
3	stick	stick	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

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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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