---
title: Which of the following statements most accurately characterises a ge… — Reading faces and voices · tree and pragmatics
description: Which of the following statements most accurately characterises a genuine smile? Exam question 1 of lesson 14 «Reading faces and voices» of the everyday course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Exam question 1 · Reading faces and voices

<!-- .ven lang=en -->
Which of the following statements most accurately characterises a genuine smile?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **What happens:** follow, characteris · **To what, where:** genuine smile

<!-- .vabout -->
This is exam question 1 of lesson 14 «Reading faces and voices» of the everyday 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/everyday/14-faces-and-voices/#e1).

## The question {#question}

```conllu
# sent_id = question:everyday:14-faces-and-voices:e1:1
# text = Which of the following statements most accurately characterises a genuine smile?
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	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
10	genuine	genuine	ADJ	JJ	Degree=Pos	11	amod	_	_
11	smile	smile	NOUN	NN	Number=Sing	8	obj	_	SpaceAfter=No
12	?	?	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 |  | a genuine smile |  |  |  | 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 {#o1}

<!-- .ven lang=en -->
It involves the mouth exclusively, the eyes remaining unaltered

```conllu
# sent_id = question:everyday:14-faces-and-voices:e1:o1:1
# text = It involves the mouth exclusively, the eyes remaining unaltered
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	involves	involve	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	mouth	mouth	NOUN	NN	Number=Sing	2	obj	_	_
5	exclusively	exclusively	ADV	RB	_	2	advmod	_	SpaceAfter=No
6	,	,	PUNCT	,	_	8	punct	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	eyes	eye	NOUN	NNS	Number=Plur	2	conj	_	_
9	remaining	remain	VERB	VBG	VerbForm=Ger	8	acl	_	_
10	unaltered	unaltered	ADJ	JJ	Degree=Pos	9	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **involve** | present | It | the mouth |  |  |  | exclusively *property* | vn involve-107.1 «NP V NP»: agent=Agent mouth=Theme |
| 2 | **remain** | gerund | the eyes *not said here* |  |  |  |  | unaltered *property* | vn exist-47.1 «NP V»: agent=Theme |

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

<!-- .ven lang=en -->
It ordinarily causes the skin about the eyes to crinkle, and not merely the mouth

<!-- fold The tree, 15 words -->
```conllu
# sent_id = question:everyday:14-faces-and-voices:e1:o2:1
# text = It ordinarily causes the skin about the eyes to crinkle, and not merely the mouth
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	ordinarily	ordinarily	ADV	RB	_	3	advmod	_	_
3	causes	cause	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	skin	skin	NOUN	NN	Number=Sing	3	obj	_	_
6	about	about	ADP	IN	_	8	case	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	eyes	eye	NOUN	NNS	Number=Plur	5	nmod	_	_
9	to	to	PART	TO	_	10	mark	_	_
10	crinkle	crinkle	VERB	VB	VerbForm=Inf	8	acl	_	SpaceAfter=No
11	,	,	PUNCT	,	_	16	punct	_	_
12	and	and	CCONJ	CC	_	16	cc	_	_
13	not	not	PART	RB	Polarity=Neg	16	advmod	_	_
14	merely	merely	ADV	RB	_	16	advmod	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	16	det	_	_
16	mouth	mouth	NOUN	NN	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **cause** | present | It | the skin |  |  |  | about the eyes; the mouth *obl*; ordinarily *property* | vn engender-27.1-1 «NP V NP»: agent=Precondition skin=Patient |
| 2 | **crinkle** | to-infinitive |  |  |  |  |  |  | vn bend-45.2 «NP.patient V»: agent=Patient |

### Option 3 {#o3}

<!-- .ven lang=en -->
It causes the eyebrows to be drawn sharply together

```conllu
# sent_id = question:everyday:14-faces-and-voices:e1:o3:1
# text = It causes the eyebrows to be drawn sharply together
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	causes	cause	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	eyebrows	eyebrow	NOUN	NNS	Number=Plur	2	obj	_	_
5	to	to	PART	TO	_	7	mark	_	_
6	be	be	AUX	VB	VerbForm=Inf	7	aux:pass	_	_
7	drawn	draw	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	advcl	_	_
8	sharply	sharply	ADV	RB	_	7	advmod	_	_
9	together	together	ADV	RB	_	7	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **cause** | present | It | the eyebrows |  |  |  |  | vn engender-27.1-1 «NP V NP»: agent=Precondition eyebrow=Patient |
| 2 | **draw** | to-infinitive · passive |  |  |  |  |  | sharply, together *property* | vn scribble-25.2-1 «NP V» |

### Option 4 {#o4}

<!-- .ven lang=en -->
It is invariably accompanied by laughter

```conllu
# sent_id = question:everyday:14-faces-and-voices:e1:o4:1
# text = It is invariably accompanied by laughter
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	4	nsubj:pass	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
3	invariably	invariably	ADV	RB	_	4	advmod	_	_
4	accompanied	accompany	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	by	by	ADP	IN	_	6	case	_	_
6	laughter	laughter	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **accompany** | present · passive | laughter | It |  |  |  | invariably *property* | vn accompany-51.7 «NP V NP»: agent=Agent subject=Theme |

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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.

<!-- /div -->

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- ← previous: [Reading faces and voices, test 19](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/14-faces-and-voices/t19/)
- next →: [Reading faces and voices, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/14-faces-and-voices/e2/)
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