---
title: Which of the following statements most accurately characterises the… — Allergies, horses and farm animals · tree and pragmatics
description: Which of the following statements most accurately characterises the cause of allergy to pets? Exam question 1 of lesson 67 «Allergies, horses and farm animals» 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 w
---

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# Exam question 1 · Allergies, horses and farm animals

<!-- .ven lang=en -->
Which of the following statements most accurately characterises the cause of allergy to pets?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 4 · wrong ✗ · **What happens:** follow, characteris, cause · **To what, where:** cause, allergy

<!-- .vabout -->
This is exam question 1 of lesson 67 «Allergies, horses and farm animals» 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/67-allergies-horses-and-farm-animals/#e1).

## The question {#question}

```conllu
# sent_id = question:everyday:67-allergies-horses-and-farm-animals:e1:1
# text = Which of the following statements most accurately characterises the cause of allergy to pets?
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	cause	cause	NOUN	NN	Number=Sing	8	obj	_	_
11	of	of	ADP	IN	_	12	case	_	_
12	allergy	allergy	NOUN	NN	Number=Sing	10	nmod	_	_
13	to	to	ADP	IN	_	14	case	_	_
14	pets	pet	NOUN	NNS	Number=Plur	8	obl	_	SpaceAfter=No
15	?	?	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 cause of allergy |  |  |  | of the following statements; to pets; accurately *property* | tree rules |
| 3 | **cause** |  |  | allergy |  |  |  |  | nom cause «event transitive»: of=patient |

<!-- .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 -->
The pet's diet of meat

```conllu
# sent_id = question:everyday:67-allergies-horses-and-farm-animals:e1:o1:1
# text = The pet's diet of meat
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	pet	pet	NOUN	NN	Number=Sing	4	nmod:poss	_	SpaceAfter=No
3	's	's	PART	POS	_	2	case	_	_
4	diet	diet	NOUN	NN	Number=Sing	0	root	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	meat	meat	NOUN	NN	Number=Sing	4	nmod	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
The colour of the pet's fur

```conllu
# sent_id = question:everyday:67-allergies-horses-and-farm-animals:e1:o2:1
# text = The colour of the pet's fur
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	colour	colour	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	7	case	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	pet	pet	NOUN	NN	Number=Sing	7	nmod:poss	_	SpaceAfter=No
6	's	's	PART	POS	_	5	case	_	_
7	fur	fur	NOUN	NN	Number=Sing	2	nmod	_	_
```

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

### Option 3 · ← Mova's choice {#o3}

<!-- .ven lang=en -->
The noise made by the pet

```conllu
# sent_id = question:everyday:67-allergies-horses-and-farm-animals:e1:o3:1
# text = The noise made by the pet
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	noise	noise	NOUN	NN	Number=Sing	0	root	_	_
3	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	acl	_	_
4	by	by	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	pet	pet	NOUN	NN	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | participle |  | the noise *not said here* |  |  |  | by the pet | vn build-26.1-1 «NP.asset V NP»: agent=Asset |

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

<!-- .ven lang=en -->
Proteins present in pet skin flakes and saliva

```conllu
# sent_id = question:everyday:67-allergies-horses-and-farm-animals:e1:o4:1
# text = Proteins present in pet skin flakes and saliva
1	Proteins	protein	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	present	present	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	in	in	ADP	IN	_	6	case	_	_
4	pet	pet	NOUN	NN	Number=Sing	6	compound	_	_
5	skin	skin	NOUN	NN	Number=Sing	6	compound	_	_
6	flakes	flake	NOUN	NNS	Number=Plur	2	obl	_	_
7	and	and	CCONJ	CC	_	8	cc	_	_
8	saliva	saliva	NOUN	NN	Number=Sing	6	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **present** | present | Proteins |  |  | pet skin flakes and saliva |  |  | vn fulfilling-13.4.1 «NP V NP»: agent=Agent |

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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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