---
title: In a cartoon a dog learns a hard trick when the owner shouts «NO!» v… — Training a dog with rewards and patience · tree and pragmatics
description: In a cartoon a dog learns a hard trick when the owner shouts «NO!» very loudly. What is true of real dogs? Test 5 · ★ of lesson 195 «Training a dog with rewards and patience» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; M
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/t5/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/questions/biology/) / [Training a dog with rewards and patience](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/) / t5

# Test 5 · ★ · Training a dog with rewards and patience

<!-- .ven lang=en -->
In a cartoon a dog learns a hard trick when the owner shouts «NO!» very loudly. What is true of real dogs?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** dog, owner · **What happens:** learn, shout, be · **To what, where:** hard trick, cartoon

<!-- .vabout -->
This is test 5 · ★ of lesson 195 «Training a dog with rewards and patience» 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/195-training-a-dog-with-rewards-and-patience/#t5).

## The question {#question}

<!-- .note -->
*Sentence 1:* In a cartoon a dog learns a hard trick when the owner shouts «NO!» very loudly.

```conllu
# sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t5:1
# text = In a cartoon a dog learns a hard trick when the owner shouts «NO!» very loudly.
1	In	in	ADP	IN	_	3	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	cartoon	cartoon	NOUN	NN	Number=Sing	6	obl	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	dog	dog	NOUN	NN	Number=Sing	6	nsubj	_	_
6	learns	learn	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	hard	hard	ADJ	JJ	Degree=Pos	9	amod	_	_
9	trick	trick	NOUN	NN	Number=Sing	6	obj	_	_
10	when	when	SCONJ	WRB	_	13	mark	_	_
11	the	the	DET	DT	Definite=Def|PronType=Art	12	det	_	_
12	owner	owner	NOUN	NN	Number=Sing	13	nsubj	_	_
13	shouts	shout	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	advcl	_	_
14	«	«	PUNCT	``	_	15	punct	_	SpaceAfter=No
15	NO	no	INTJ	UH	Polarity=Neg	13	discourse	_	SpaceAfter=No
16	!	!	PUNCT	.	_	15	punct	_	SpaceAfter=No
17	»	»	PUNCT	''	_	15	punct	_	_
18	very	very	ADV	RB	_	19	advmod	_	_
19	loudly	loudly	ADV	RB	_	13	advmod	_	SpaceAfter=No
20	.	.	PUNCT	.	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **learn** | present | a dog | a hard trick |  | a cartoon |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent trick=Topic |
| 2 | **shout** *speech: express* | present | the owner |  |  |  |  | loudly *property* | vn manner\_speaking-37.3 «NP V»: agent=Agent |

<!-- .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 is true of real dogs?

```conllu
# sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t5:2
# text = What is true of real dogs?
1	What	what	PRON	WP	PronType=Int	3	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	true	true	ADJ	JJ	Degree=Pos	0	root	_	_
4	of	of	ADP	IN	_	6	case	_	_
5	real	real	ADJ	JJ	Degree=Pos	6	amod	_	_
6	dogs	dog	NOUN	NNS	Number=Plur	3	obl	_	SpaceAfter=No
7	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present |  |  |  |  |  | of real dogs; true *property* | tree rules |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Real dogs learn only from cartoons

```conllu
# sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t5:o1:1
# text = Real dogs learn only from cartoons
1	Real	real	ADJ	JJ	Degree=Pos	2	amod	_	_
2	dogs	dog	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	learn	learn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	only	only	ADV	RB	_	6	advmod	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	cartoons	cartoon	NOUN	NNS	Number=Plur	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **learn** | present | Real dogs |  |  | cartoons |  |  | vn learn-14-2-1 «NP V PP.source»: agent=Agent from cartoon=Source |

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

<!-- .ven lang=en -->
Shouting and fear make dogs scared; rewards teach better

```conllu
# sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t5:o2:1
# text = Shouting and fear make dogs scared; rewards teach better
1	Shouting	shout	VERB	VBG	VerbForm=Ger	4	csubj	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	fear	fear	NOUN	NN	Number=Sing	1	conj	_	_
4	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	dogs	dog	NOUN	NNS	Number=Plur	4	obj	_	_
6	scared	scared	ADJ	JJ	Degree=Pos	4	xcomp	_	SpaceAfter=No
7	;	;	PUNCT	:	_	9	punct	_	_
8	rewards	reward	NOUN	NNS	Number=Plur	9	nsubj	_	_
9	teach	teach	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
10	better	good	ADJ	JJR	Degree=Cmp	9	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **shout** *speech: express* | gerund |  |  |  |  |  |  | vn manner\_speaking-37.3 «NP V»: agent=Agent |
| 2 | **make** | present | Shouting | dogs |  |  |  | scared *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset dog=Product |
| 3 | **teach** *speech: other* | present | rewards |  |  |  |  | good *property* | vn transfer\_mesg-37.1.1-1-1 «NP V»: agent=Agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
Real dogs only learn when smacked

```conllu
# sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t5:o3:1
# text = Real dogs only learn when smacked
1	Real	real	ADJ	JJ	Degree=Pos	2	amod	_	_
2	dogs	dog	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	only	only	ADV	RB	_	4	advmod	_	_
4	learn	learn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	when	when	ADV	WRB	PronType=Int	6	advmod	_	_
6	smacked	smack	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **learn** | present | Real dogs |  |  |  |  |  | vn learn-14-2-1 «NP V what S»: agent=Agent clause=Topic |
| 2 | **smack** | participle | Real dogs *not said here* |  |  |  |  |  | vn bump-18.4-1 «NP V together»: agent=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
Shouting is the best way to teach, because the dog never forgets it

```conllu
# sent_id = question:biology:195-training-a-dog-with-rewards-and-patience:t5:o4:1
# text = Shouting is the best way to teach, because the dog never forgets it
1	Shouting	shouting	NOUN	NN	Number=Sing	5	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	best	good	ADJ	JJS	Degree=Sup	5	amod	_	_
5	way	way	NOUN	NN	Number=Sing	0	root	_	_
6	to	to	PART	TO	_	7	mark	_	_
7	teach	teach	VERB	VB	VerbForm=Inf	5	acl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	13	punct	_	_
9	because	because	SCONJ	IN	_	13	mark	_	_
10	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
11	dog	dog	NOUN	NN	Number=Sing	13	nsubj	_	_
12	never	never	ADV	RB	PronType=Neg	13	advmod	_	_
13	forgets	forget	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	acl:relcl	_	_
14	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	13	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | Shouting | the best way |  |  |  |  | tree rules |
| 2 | **teach** *speech: other* | to-infinitive |  |  |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V»: agent=Agent |
| 3 | **not** **forget** | present | the dog | Shouting |  |  |  |  | tree rules |

<!-- div src -->

**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.

<!-- /div -->

<!-- pn -->
- ← previous: [Training a dog with rewards and patience, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/t4/)
- next →: [Training a dog with rewards and patience, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/t6/)
- ↑ back to [Training a dog with rewards and patience](https://md.mova.elamur.ai/free/en/corpora/questions/biology/195-training-a-dog-with-rewards-and-patience/)