---
title: Your friend laughs at funny captions: "who cares, it's just a joke".… — Cars, doctors, scientists and translat… · tree and pragmatics
description: Your friend laughs at funny captions: "who cares, it's just a joke". What is a fair answer? Test 2 of lesson 18 «Cars, doctors, scientists and translators» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong.
---

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# Test 2 · Cars, doctors, scientists and translators

<!-- .ven lang=en -->
Your friend laughs at funny captions: "who cares, it's just a joke". What is a fair answer?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** friend · **What happens:** laugh, care, be · **To what, where:** funny captions, joke, fair answer

<!-- .vabout -->
This is test 2 of lesson 18 «Cars, doctors, scientists and translators» of the AI 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/ai/18-cars-doctors-translators/#t2).

## The question {#question}

<!-- .note -->
*Sentence 1:* Your friend laughs at funny captions: "who cares, it's just a joke".

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t2:1
# text = Your friend laughs at funny captions: "who cares, it's just a joke".
1	Your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	friend	friend	NOUN	NN	Number=Sing	3	nsubj	_	_
3	laughs	laugh	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	at	at	ADP	IN	_	6	case	_	_
5	funny	funny	ADJ	JJ	Degree=Pos	6	amod	_	_
6	captions	caption	NOUN	NNS	Number=Plur	3	obl	_	SpaceAfter=No
7	:	:	PUNCT	:	_	10	punct	_	_
8	"	"	PUNCT	``	_	10	punct	_	SpaceAfter=No
9	who	who	PRON	WP	PronType=Rel	10	nsubj	_	_
10	cares	care	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	SpaceAfter=No
11	,	,	PUNCT	,	_	16	punct	_	_
12	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	16	nsubj	_	SpaceAfter=No
13	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	16	cop	_	_
14	just	just	ADV	RB	_	16	advmod	_	_
15	a	a	DET	DT	Definite=Ind|PronType=Art	16	det	_	_
16	joke	joke	NOUN	NN	Number=Sing	10	obj	_	SpaceAfter=No
17	"	"	PUNCT	''	_	16	punct	_	SpaceAfter=No
18	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **laugh** | present | Your friend |  |  | funny captions |  |  | vn nonverbal\_expression-40.2 «NP V»: agent=Agent |
| 2 | **care** *in a quote* | present |  |  |  |  |  |  | vn care-88.1-1 «NP V»: agent=Experiencer |
| 3 | **is a** *in a quote* | present | friend | a joke |  |  |  |  | tree rules |

<!-- .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 a fair answer?

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t2:2
# text = What is a fair answer?
1	What	what	PRON	WP	PronType=Int	5	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	fair	fair	ADJ	JJ	Degree=Pos	5	amod	_	_
5	answer	answer	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present |  | a fair answer |  |  |  |  | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Captions are always right, so it can't happen

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t2:o1:1
# text = Captions are always right, so it can't happen
1	Captions	caption	NOUN	NNS	Number=Plur	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	always	always	ADV	RB	PronType=Tot	4	advmod	_	_
4	right	right	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	10	punct	_	_
6	so	so	ADV	RB	_	10	advmod	_	_
7	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
8	ca	can	AUX	MD	VerbForm=Fin	10	aux	_	SpaceAfter=No
9	n't	not	PART	RB	Polarity=Neg	10	advmod	_	_
10	happen	happen	VERB	VB	VerbForm=Inf	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Captions |  |  |  |  | always, right *property* | tree rules |
| 2 | **not** **happen** | can | it |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
It's funny, but deaf viewers rely on captions to understand

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t2:o2:1
# text = It's funny, but deaf viewers rely on captions to understand
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	SpaceAfter=No
2	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	funny	funny	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
4	,	,	PUNCT	,	_	8	punct	_	_
5	but	but	CCONJ	CC	_	8	cc	_	_
6	deaf	deaf	ADJ	JJ	Degree=Pos	7	amod	_	_
7	viewers	viewer	NOUN	NNS	Number=Plur	8	nsubj	_	_
8	rely	rely	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
9	on	on	ADP	IN	_	10	case	_	_
10	captions	caption	NOUN	NNS	Number=Plur	8	obl	_	_
11	to	to	PART	TO	_	12	mark	_	_
12	understand	understand	VERB	VB	VerbForm=Inf	8	advcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | It |  |  |  |  | funny *property* | tree rules |
| 2 | **rely** | present | deaf viewers |  |  |  |  | on captions | vn rely-70 «NP V PP.theme S\_ING»: agent=Agent on caption=Theme |
| 3 | **understand** | to-infinitive | deaf viewers *not said here* |  |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V»: agent=Experiencer |

### Option 3 {#o3}

<!-- .ven lang=en -->
Captions are only there to make people laugh, so mistakes make them better

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t2:o3:1
# text = Captions are only there to make people laugh, so mistakes make them better
1	Captions	caption	NOUN	NNS	Number=Plur	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	only	only	ADV	RB	_	4	advmod	_	_
4	there	there	ADV	RB	PronType=Dem	0	root	_	_
5	to	to	PART	TO	_	6	mark	_	_
6	make	make	VERB	VB	VerbForm=Inf	4	advcl	_	_
7	people	people	NOUN	NNS	Number=Plur	6	obj	_	_
8	laugh	laugh	VERB	VB	VerbForm=Inf	6	xcomp	_	SpaceAfter=No
9	,	,	PUNCT	,	_	12	punct	_	_
10	so	so	ADV	RB	_	12	advmod	_	_
11	mistakes	mistake	NOUN	NNS	Number=Plur	12	nsubj	_	_
12	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	parataxis	_	_
13	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	12	obj	_	_
14	better	good	ADJ	JJR	Degree=Cmp	12	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Captions |  |  |  |  | there *property* | tree rules |
| 2 | **make** | to-infinitive | Captions *not said here* | people |  |  |  |  | tree rules |
| 3 | **laugh** | infinitive | people *not said here* |  |  |  |  |  | vn nonverbal\_expression-40.2 «NP V»: agent=Agent |
| 4 | **make** | present | mistakes | people |  |  |  | good *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset they=Product |

### Option 4 {#o4}

<!-- .ven lang=en -->
Nobody reads captions, so it never matters

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t2:o4:1
# text = Nobody reads captions, so it never matters
1	Nobody	nobody	PRON	NN	Number=Sing|PronType=Neg	2	nsubj	_	_
2	reads	read	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	captions	caption	NOUN	NNS	Number=Plur	2	obj	_	SpaceAfter=No
4	,	,	PUNCT	,	_	8	punct	_	_
5	so	so	ADV	RB	_	8	advmod	_	_
6	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	8	nsubj	_	_
7	never	never	ADV	RB	PronType=Neg	8	advmod	_	_
8	matters	matter	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **read** | present | Nobody | captions |  |  |  |  | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent caption=Topic |
| 2 | **not** **matter** | present | it |  |  |  |  |  | vn matter-91 «NP V»: agent=Stimulus |

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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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- ← previous: [Cars, doctors, scientists and translat…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/t1/)
- next →: [Cars, doctors, scientists and translat…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/t3/)
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