---
title: Which of the following statements most accurately characterises the… — Clouds, rain, snow and hail · tree and pragmatics
description: Which of the following statements most accurately characterises the composition of clouds? Exam question 1 of lesson 67 «Clouds, rain, snow and hail» of the world 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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# Exam question 1 · Clouds, rain, snow and hail

<!-- .ven lang=en -->
Which of the following statements most accurately characterises the composition of clouds?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **What happens:** follow, characteris · **To what, where:** composition

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This is exam question 1 of lesson 67 «Clouds, rain, snow and hail» of the world course of Mova's primary school, asked in stiff, formal language. 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/world/67-clouds-rain-snow-hail/#e1).

## The question {#question}

```conllu
# sent_id = question:world:67-clouds-rain-snow-hail:e1:1
# text = Which of the following statements most accurately characterises the composition of clouds?
1	Which	which	PRON	WDT	PronType=Rel	8	nsubj	_	_
2	of	of	ADP	IN	_	5	case	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	following	follow	VERB	VBG	VerbForm=Ger	5	amod	_	_
5	statements	statement	NOUN	NNS	Number=Plur	8	obl	_	_
6	most	most	ADV	RBS	Degree=Sup	7	advmod	_	_
7	accurately	accurately	ADV	RB	_	8	advmod	_	_
8	characterises	characteris	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	composition	composition	NOUN	NN	Number=Sing	8	obj	_	_
11	of	of	ADP	IN	_	12	case	_	_
12	clouds	cloud	NOUN	NNS	Number=Plur	10	nmod	_	SpaceAfter=No
13	?	?	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **follow** | gerund |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 2 | **characteris** | present |  | the composition of clouds |  |  |  | of the following statements; accurately *property* | 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.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Smoke rising from fires and big factories

```conllu
# sent_id = question:world:67-clouds-rain-snow-hail:e1:o1:1
# text = Smoke rising from fires and big factories
1	Smoke	smoke	NOUN	NN	Number=Sing	0	root	_	_
2	rising	rise	VERB	VBG	VerbForm=Ger	1	acl	_	_
3	from	from	ADP	IN	_	4	case	_	_
4	fires	fire	NOUN	NNS	Number=Plur	2	obl	_	_
5	and	and	CCONJ	CC	_	7	cc	_	_
6	big	big	ADJ	JJ	Degree=Pos	7	amod	_	_
7	factories	factory	NOUN	NNS	Number=Plur	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **rise** | gerund | Smoke *not said here* |  |  | fires and big factories |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from fire=Initial\_Location |

### Option 2 {#o2}

<!-- .ven lang=en -->
Invisible water vapour and nothing else

```conllu
# sent_id = question:world:67-clouds-rain-snow-hail:e1:o2:1
# text = Invisible water vapour and nothing else
1	Invisible	invisible	ADJ	JJ	Degree=Pos	3	amod	_	_
2	water	water	NOUN	NN	Number=Sing	3	compound	_	_
3	vapour	vapour	NOUN	NN	Number=Sing	0	root	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	3	conj	_	_
6	else	else	ADV	RB	_	5	advmod	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
Dust raised high into the sky by the wind

```conllu
# sent_id = question:world:67-clouds-rain-snow-hail:e1:o3:1
# text = Dust raised high into the sky by the wind
1	Dust	dust	NOUN	NN	Number=Sing	0	root	_	_
2	raised	raise	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	acl	_	_
3	high	high	ADV	RB	Degree=Pos	2	advmod	_	_
4	into	into	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	sky	sky	NOUN	NN	Number=Sing	2	obl	_	_
7	by	by	ADP	IN	_	9	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	wind	wind	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **raise** | participle |  | Dust *not said here* |  | the sky |  | by the wind; high *property* | vn put\_direction-9.4 «NP V NP PP.initial\_location PP.destination»: agent=Agent into sky=Destination by wind=Initial\_Location |

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

<!-- .ven lang=en -->
Tiny water droplets or ice crystals

```conllu
# sent_id = question:world:67-clouds-rain-snow-hail:e1:o4:1
# text = Tiny water droplets or ice crystals
1	Tiny	tiny	ADJ	JJ	Degree=Pos	3	amod	_	_
2	water	water	NOUN	NN	Number=Sing	3	compound	_	_
3	droplets	droplet	NOUN	NNS	Number=Plur	0	root	_	_
4	or	or	CCONJ	CC	_	6	cc	_	_
5	ice	ice	NOUN	NN	Number=Sing	6	compound	_	_
6	crystals	crystal	NOUN	NNS	Number=Plur	3	conj	_	_
```

<!-- .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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- ← previous: [Clouds, rain, snow and hail, test 13](https://md.mova.elamur.ai/free/en/corpora/questions/world/67-clouds-rain-snow-hail/t13/)
- next →: [Clouds, rain, snow and hail, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/world/67-clouds-rain-snow-hail/e2/)
- ↑ back to [Clouds, rain, snow and hail](https://md.mova.elamur.ai/free/en/corpora/questions/world/67-clouds-rain-snow-hail/)