---
title: «she's my nan's dog, she knows me, I can hug her face and she'll lov… — Dogs from wolves to best friends: livi… · tree and pragmatics
description: «she's my nan's dog, she knows me, I can hug her face and she'll love it» What is right? Test 1 · ★★ of lesson 292 «Dogs from wolves to best friends: living with dogs today» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mo
---

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# Test 1 · ★★ · Dogs from wolves to best friends: living with dogs today

<!-- .ven lang=en -->
«she's my nan's dog, she knows me, I can hug her face and she'll love it» What is right?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** she, dog, I · **What happens:** be, know, hug, love · **To what, where:** dog, me, face · **Speech:** someone speaks here

<!-- .vabout -->
This is test 1 · ★★ of lesson 292 «Dogs from wolves to best friends: living with dogs today» 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/292-dogs-from-wolves-to-best-friends-living-with-dogs-today/#t1).

## The question {#question}

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t1:1
# text = «she's my nan's dog, she knows me, I can hug her face and she'll love it» What is right?
1	«	«	PUNCT	``	_	7	punct	_	SpaceAfter=No
2	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	7	nsubj	_	SpaceAfter=No
3	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	cop	_	_
4	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	5	nmod:poss	_	_
5	nan	nan	NOUN	NN	Number=Sing	7	nmod:poss	_	SpaceAfter=No
6	's	's	PART	POS	_	5	case	_	_
7	dog	dog	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
10	knows	know	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	parataxis	_	_
11	me	I	PRON	PRP	Case=Acc|Number=Sing|Person=1|PronType=Prs	10	obj	_	SpaceAfter=No
12	,	,	PUNCT	,	_	15	punct	_	_
13	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	15	nsubj	_	_
14	can	can	AUX	MD	VerbForm=Fin	15	aux	_	_
15	hug	hug	VERB	VB	VerbForm=Inf	10	conj	_	_
16	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	17	nmod:poss	_	_
17	face	face	NOUN	NN	Number=Sing	15	obj	_	_
18	and	and	CCONJ	CC	_	21	cc	_	_
19	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	21	nsubj	_	SpaceAfter=No
20	'll	will	AUX	MD	VerbForm=Fin	21	aux	_	_
21	love	love	VERB	VB	VerbForm=Inf	15	conj	_	_
22	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	21	obj	_	SpaceAfter=No
23	»	»	PUNCT	''	_	21	punct	_	_
24	What	what	PRON	WP	PronType=Int	26	nsubj	_	_
25	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	26	cop	_	_
26	right	right	ADJ	JJ	Degree=Pos	21	parataxis	_	SpaceAfter=No
27	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** *in a quote* | present | she | my nan's dog |  |  |  |  | tree rules |
| 2 | **know** *in a quote* | present | dog | me |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer i=Stimulus |
| 3 | **hug** *in a quote* | can | I | dog's face |  |  |  |  | vn marry-36.2 «NP V NP»: agent=Agent face=Co-Agent |
| 4 | **love** *in a quote* | future | dog | face |  |  |  |  | tree rules |
| 5 | **is** | present |  |  |  |  |  | right *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 -->
All dogs love face hugs

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t1:o1:1
# text = All dogs love face hugs
1	All	all	DET	DT	PronType=Tot	2	det	_	_
2	dogs	dog	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	love	love	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	face	face	NOUN	NN	Number=Sing	5	compound	_	_
5	hugs	hug	NOUN	NNS	Number=Plur	3	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **love** | present | all dogs | face hugs |  |  |  |  | vn admire-31.2-1 «NP V NP»: agent=Experiencer hug=Stimulus |

### Option 2 {#o2}

<!-- .ven lang=en -->
Dogs you know never bite, so hugging her face is totally fine

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t1:o2:1
# text = Dogs you know never bite, so hugging her face is totally fine
1	Dogs	dog	NOUN	NNS	Number=Plur	5	nsubj	_	_
2	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	5	nsubj	_	_
3	know	know	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	5	aux	_	_
4	never	never	ADV	RB	PronType=Neg	5	advmod	_	_
5	bite	bite	VERB	VB	VerbForm=Inf	0	root	_	SpaceAfter=No
6	,	,	PUNCT	,	_	13	punct	_	_
7	so	so	ADV	RB	_	13	advmod	_	_
8	hugging	hug	VERB	VBG	VerbForm=Ger	13	csubj	_	_
9	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	10	nmod:poss	_	_
10	face	face	NOUN	NN	Number=Sing	8	obj	_	_
11	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	13	cop	_	_
12	totally	totally	ADV	RB	_	13	advmod	_	_
13	fine	fine	ADJ	JJ	Degree=Pos	5	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **bite** | present | Dogs |  |  |  |  |  | vn swat-18.2 «NP V PP»: agent=Agent |
| 2 | **hug** | gerund |  | her face |  |  |  |  | vn marry-36.2 «NP V NP»: agent=Agent face=Co-Agent |
| 3 | **is** | present | hugging |  |  |  |  | fine, totally *property* | tree rules |

### Option 3 · ← Mova's choice · ✓ the right answer {#o3}

<!-- .ven lang=en -->
Most bites come from dogs children know, and face hugs scare many dogs

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t1:o3:1
# text = Most bites come from dogs children know, and face hugs scare many dogs
1	Most	most	ADJ	JJS	Degree=Sup	2	amod	_	_
2	bites	bite	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	come	come	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	from	from	ADP	IN	_	5	case	_	_
5	dogs	dog	NOUN	NNS	Number=Plur	3	obl	_	_
6	children	child	NOUN	NNS	Number=Plur	7	nsubj	_	_
7	know	know	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	acl:relcl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	12	punct	_	_
9	and	and	CCONJ	CC	_	12	cc	_	_
10	face	face	NOUN	NN	Number=Sing	11	compound	_	_
11	hugs	hug	NOUN	NNS	Number=Plur	12	nsubj	_	_
12	scare	scare	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	advcl	_	_
13	many	many	ADJ	JJ	Degree=Pos	14	amod	_	_
14	dogs	dog	NOUN	NNS	Number=Plur	12	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **come** | present | Most bites |  |  |  |  | from dogs | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from dog=Initial\_Location |
| 2 | **know** | present | children | dogs *not said here* |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer dog=Stimulus |
| 3 | **scare** | present | face hugs | many dogs |  |  |  |  | vn amuse-31.1 «NP V NP»: agent=Stimulus dog=Experiencer |

### Option 4 {#o4}

<!-- .ven lang=en -->
Only big dogs mind hugs, little ones always love a cuddle

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t1:o4:1
# text = Only big dogs mind hugs, little ones always love a cuddle
1	Only	only	ADV	RB	_	3	advmod	_	_
2	big	big	ADJ	JJ	Degree=Pos	3	amod	_	_
3	dogs	dog	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	mind	mind	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	hugs	hug	NOUN	NNS	Number=Plur	4	obj	_	SpaceAfter=No
6	,	,	PUNCT	,	_	10	punct	_	_
7	little	little	ADJ	JJ	Degree=Pos	8	amod	_	_
8	ones	one	NOUN	NNS	Number=Plur	10	nsubj	_	_
9	always	always	ADV	RB	PronType=Tot	10	advmod	_	_
10	love	love	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
12	cuddle	cuddle	NOUN	NN	Number=Sing	10	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mind** | present | big dogs | hugs |  |  |  |  | vn caring-75.2-1 «NP V NP»: agent=Agent hug=Theme |
| 2 | **love** | present | little ones | a cuddle |  |  |  | always *property* | vn admire-31.2-1 «NP V NP»: agent=Experiencer cuddle=Stimulus |

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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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