---
title: Identify the region from which a horse ought to be approached. — Farm animals and horses · tree and pragmatics
description: Identify the region from which a horse ought to be approached. Exam question 1 of lesson 28 «Farm animals and horses» 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 · Farm animals and horses

<!-- .ven lang=en -->
Identify the region from which a horse ought to be approached.

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** you · **What happens:** identify, approach · **To what, where:** region, horse

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This is exam question 1 of lesson 28 «Farm animals and horses» 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/28-farm-animals-and-horses/#e1).

## The question {#question}

```conllu
# sent_id = question:everyday:28-farm-animals-and-horses:e1:1
# text = Identify the region from which a horse ought to be approached.
1	Identify	identify	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	region	region	NOUN	NN	Number=Sing	1	obj	_	_
4	from	from	ADP	IN	_	5	case	_	_
5	which	which	PRON	WDT	PronType=Rel	11	obl	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	horse	horse	NOUN	NN	Number=Sing	11	nsubj:pass	_	_
8	ought	ought	AUX	MD	VerbForm=Fin	11	aux	_	_
9	to	to	PART	TO	_	11	mark	_	_
10	be	be	AUX	VB	VerbForm=Inf	11	aux:pass	_	_
11	approached	approach	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	acl:relcl	_	SpaceAfter=No
12	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **identify** | imperative | you *not said here* | the region |  |  |  |  | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent region=Theme |
| 2 | **approach** | ought · passive | you *not said here* | a horse |  | the region |  |  | vn confront-98 «NP V NP»: subject=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.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
From directly in front of its nose

```conllu
# sent_id = question:everyday:28-farm-animals-and-horses:e1:o1:1
# text = From directly in front of its nose
1	From	from	ADP	IN	_	4	case	_	_
2	directly	directly	ADV	RB	_	4	advmod	_	_
3	in	in	ADP	IN	_	4	case	_	_
4	front	front	NOUN	NN	Number=Sing	0	root	_	_
5	of	of	ADP	IN	_	7	case	_	_
6	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
7	nose	nose	NOUN	NN	Number=Sing	4	nmod	_	_
```

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

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

<!-- .ven lang=en -->
From the side, near the shoulder, whilst speaking softly

```conllu
# sent_id = question:everyday:28-farm-animals-and-horses:e1:o2:1
# text = From the side, near the shoulder, whilst speaking softly
1	From	from	ADP	IN	_	3	case	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	side	side	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
4	,	,	PUNCT	,	_	7	punct	_	_
5	near	near	ADP	IN	_	7	case	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	shoulder	shoulder	NOUN	NN	Number=Sing	3	appos	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	whilst	whilst	SCONJ	IN	_	10	mark	_	_
10	speaking	speak	VERB	VBG	VerbForm=Ger	7	nmod	_	_
11	softly	softly	ADV	RB	_	10	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **speak** *speech: other* | gerund |  |  |  |  |  | softly *property* | vn talk-37.5 «NP V»: agent=Agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
From beneath its neck without warning

```conllu
# sent_id = question:everyday:28-farm-animals-and-horses:e1:o3:1
# text = From beneath its neck without warning
1	From	from	ADP	IN	_	4	case	_	_
2	beneath	beneath	ADP	IN	_	4	case	_	_
3	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	4	nmod:poss	_	_
4	neck	neck	NOUN	NN	Number=Sing	0	root	_	_
5	without	without	ADP	IN	_	6	case	_	_
6	warning	warning	NOUN	NN	Number=Sing	4	nmod	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
From directly behind, so as not to alarm it with one's face

```conllu
# sent_id = question:everyday:28-farm-animals-and-horses:e1:o4:1
# text = From directly behind, so as not to alarm it with one's face
1	From	from	ADP	IN	_	3	case	_	_
2	directly	directly	ADV	RB	_	3	advmod	_	_
3	behind	behind	ADV	RB	_	0	root	_	SpaceAfter=No
4	,	,	PUNCT	,	_	9	punct	_	_
5	so	so	ADV	RB	_	9	advmod	_	_
6	as	as	ADP	IN	_	9	case	_	_
7	not	not	PART	RB	Polarity=Neg	9	advmod	_	_
8	to	to	PART	TO	_	9	mark	_	_
9	alarm	alarm	NOUN	NN	Number=Sing	3	conj	_	_
10	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
11	with	with	ADP	IN	_	14	case	_	_
12	one	one	PRON	PRP	Number=Sing|Person=3|PronType=Prs	14	nmod:poss	_	SpaceAfter=No
13	's	's	PART	POS	_	12	case	_	_
14	face	face	NOUN	NN	Number=Sing	10	nmod	_	_
```

<!-- .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: [Farm animals and horses, test 18](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/28-farm-animals-and-horses/t18/)
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