---
title: «snow came down the mountain and a man's under it» Which helper coul… — Working dogs: guide, sniffer, sheep, r… · tree and pragmatics
description: «snow came down the mountain and a man's under it» Which helper could find him quickest? Test 6 · ★ of lesson 196 «Working dogs: guide, sniffer, sheep, rescue and helper dogs» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; 
---

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# Test 6 · ★ · Working dogs: guide, sniffer, sheep, rescue and helper dogs

<!-- .ven lang=en -->
«snow came down the mountain and a man's under it» Which helper could find him quickest?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 4 · wrong ✗ · **Who acts:** snow, helper · **What happens:** come down, find · **To what, where:** snow, mountain

<!-- .vabout -->
This is test 6 · ★ of lesson 196 «Working dogs: guide, sniffer, sheep, rescue and helper dogs» of the biology 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/biology/196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs/#t6).

## The question {#question}

```conllu
# sent_id = question:biology:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs:t6:1
# text = «snow came down the mountain and a man's under it» Which helper could find him quickest?
1	«	«	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	snow	snow	NOUN	NN	Number=Sing	3	nsubj	_	_
3	came	come	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	down	down	ADV	RB	_	3	advmod	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	mountain	mountain	NOUN	NN	Number=Sing	3	nsubj	_	_
7	and	and	CCONJ	CC	_	17	cc	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	man	man	NOUN	NN	Number=Sing	12	nmod:poss	_	SpaceAfter=No
10	's	's	PART	POS	_	9	case	_	_
11	under	under	ADP	IN	_	12	case	_	_
12	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	17	obl	_	SpaceAfter=No
13	»	»	PUNCT	''	_	12	punct	_	_
14	Which	which	DET	WDT	PronType=Int	15	det	_	_
15	helper	helper	NOUN	NN	Number=Sing	17	nsubj	_	_
16	could	could	AUX	MD	VerbForm=Fin	17	aux	_	_
17	find	find	VERB	VB	VerbForm=Inf	3	conj	_	_
18	him	he	PRON	PRP	Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs	17	obj	_	_
19	quickest	quick	ADJ	JJS	Degree=Sup	17	obj	_	SpaceAfter=No
20	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **come down** *in a quote* | past | snow |  |  |  |  | down *property* | vn escape-51.1-1 «NP V»: agent=Theme |
| 2 | **find** | could | which helper | snow |  | mountain |  |  | vn declare-29.4-1-1 «NP V NP ADJ»: agent=Agent he=Theme quick=Attribute |

<!-- .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 -->
A sheepdog with whistles

```conllu
# sent_id = question:biology:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs:t6:o1:1
# text = A sheepdog with whistles
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	sheepdog	sheepdog	NOUN	NN	Number=Sing	0	root	_	_
3	with	with	ADP	IN	_	4	case	_	_
4	whistles	whistle	NOUN	NNS	Number=Plur	2	nmod	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
A line of people looking with their eyes

```conllu
# sent_id = question:biology:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs:t6:o2:1
# text = A line of people looking with their eyes
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	line	line	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	people	people	NOUN	NNS	Number=Plur	2	nmod	_	_
5	looking	look	VERB	VBG	VerbForm=Ger	4	acl	_	_
6	with	with	ADP	IN	_	8	case	_	_
7	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	8	nmod:poss	_	_
8	eyes	eye	NOUN	NNS	Number=Plur	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **look** | gerund | people *not said here* |  |  |  |  | with people's eyes | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |

### Option 3 · ← Mova's choice {#o3}

<!-- .ven lang=en -->
A cat

```conllu
# sent_id = question:biology:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs:t6:o3:1
# text = A cat
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	cat	cat	NOUN	NN	Number=Sing	0	root	_	_
```

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

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

<!-- .ven lang=en -->
A rescue dog sniffing over the snow

```conllu
# sent_id = question:biology:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs:t6:o4:1
# text = A rescue dog sniffing over the snow
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	rescue	rescue	NOUN	NN	Number=Sing	3	compound	_	_
3	dog	dog	NOUN	NN	Number=Sing	0	root	_	_
4	sniffing	sniff	VERB	VBG	VerbForm=Ger	3	acl	_	_
5	over	over	ADP	IN	_	7	case	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	snow	snow	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **sniff** | gerund | a rescue dog *not said here* |  |  |  |  | over the snow | vn peer-30.3 «NP V PP.theme»: agent=Agent over snow=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.

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