---
title: In Scooby-Doo, Scooby talks and reads clues. What can real dogs real… — Dogs from wolves to best friends: livi… · tree and pragmatics
description: In Scooby-Doo, Scooby talks and reads clues. What can real dogs really do? Test 5 · ★★ 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; Mova's choice wa
---

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# Test 5 · ★★ · Dogs from wolves to best friends: living with dogs today

<!-- .ven lang=en -->
In Scooby-Doo, Scooby talks and reads clues. What can real dogs really do?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Scooby, real dogs · **What happens:** talk, read, do · **To what, where:** Scooby Doo, clues

<!-- .vabout -->
This is test 5 · ★★ 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/#t5).

## The question {#question}

<!-- .note -->
*Sentence 1:* In Scooby-Doo, Scooby talks and reads clues.

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t5:1
# text = In Scooby-Doo, Scooby talks and reads clues.
1	In	in	ADP	IN	_	4	case	_	_
2	Scooby	Scooby	PROPN	NNP	Number=Sing	4	compound	_	SpaceAfter=No
3	-	-	PUNCT	HYPH	_	2	punct	_	SpaceAfter=No
4	Doo	Doo	PROPN	NNP	Number=Sing	7	obl	_	SpaceAfter=No
5	,	,	PUNCT	,	_	4	punct	_	_
6	Scooby	Scooby	PROPN	NNP	Number=Sing	7	nsubj	_	_
7	talks	talk	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	and	and	CCONJ	CC	_	9	cc	_	_
9	reads	read	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	conj	_	_
10	clues	clue	NOUN	NNS	Number=Plur	9	obj	_	SpaceAfter=No
11	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **talk** | present | Scooby |  |  | Scooby Doo |  |  | vn talk-37.5 «NP V»: agent=Agent |
| 2 | **read** | present | Scooby *not said here* | clues |  |  |  |  | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent clue=Topic |

<!-- .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.

<!-- .note -->
*Sentence 2:* What can real dogs really do?

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t5:2
# text = What can real dogs really do?
1	What	what	PRON	WP	PronType=Int	0	root	_	_
2	can	can	AUX	MD	VerbForm=Fin	1	acl:relcl	_	_
3	real	real	ADJ	JJ	Degree=Pos	4	amod	_	_
4	dogs	dog	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	really	really	ADV	RB	_	6	advmod	_	_
6	do	do	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	acl:relcl	_	SpaceAfter=No
7	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | present | real dogs |  |  |  |  |  | vn act-114-1 «NP V»: agent=Agent |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Read books

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t5:o1:1
# text = Read books
1	Read	read	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	books	book	NOUN	NNS	Number=Plur	1	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **read** | imperative | you *not said here* | books |  |  |  |  | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent book=Topic |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
Solve hard mysteries all on their own, like detectives

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t5:o2:1
# text = Solve hard mysteries all on their own, like detectives
1	Solve	solve	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	hard	hard	ADJ	JJ	Degree=Pos	3	amod	_	_
3	mysteries	mystery	NOUN	NNS	Number=Plur	1	obj	_	_
4	all	all	ADV	RB	_	1	advmod	_	_
5	on	on	ADP	IN	_	7	case	_	_
6	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
7	own	own	ADJ	JJ	Degree=Pos	1	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	like	like	ADP	IN	_	10	case	_	_
10	detectives	detective	NOUN	NNS	Number=Plur	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **solve** | imperative | you *not said here* | hard mysteries |  | mysteries's own |  | like detectives; all *property* | vn discover-84 «NP V NP»: agent=Agent mystery=Topic |

### Option 3 {#o3}

<!-- .ven lang=en -->
Talk in full sentences if trained from a puppy

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t5:o3:1
# text = Talk in full sentences if trained from a puppy
1	Talk	talk	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	in	in	ADP	IN	_	4	case	_	_
3	full	full	ADJ	JJ	Degree=Pos	4	amod	_	_
4	sentences	sentence	NOUN	NNS	Number=Plur	1	obl	_	_
5	if	if	SCONJ	IN	_	6	mark	_	_
6	trained	train	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	advcl	_	_
7	from	from	ADP	IN	_	9	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	puppy	puppy	NOUN	NN	Number=Sing	6	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **talk** | imperative | you *not said here* |  |  | full sentences |  |  | vn talk-37.5 «NP V»: agent=Agent |
| 2 | **train** *a condition, not said to happen* | participle | you *not said here* |  |  |  |  | from a puppy | vn hire-13.5.3 «NP V NP»: agent=Agent |

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

<!-- .ven lang=en -->
Read our faces and follow pointing, but not talk

```conllu
# sent_id = question:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today:t5:o4:1
# text = Read our faces and follow pointing, but not talk
1	Read	read	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	our	our	PRON	PRP$	Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs	3	nmod:poss	_	_
3	faces	face	NOUN	NNS	Number=Plur	1	obj	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	follow	follow	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	conj	_	_
6	pointing	point	VERB	VBG	VerbForm=Ger	5	xcomp	_	SpaceAfter=No
7	,	,	PUNCT	,	_	10	punct	_	_
8	but	but	CCONJ	CC	_	10	cc	_	_
9	not	not	PART	RB	Polarity=Neg	10	advmod	_	_
10	talk	talk	VERB	VB	Mood=Imp|VerbForm=Fin	1	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **read** | imperative | you *not said here* | our faces |  |  |  |  | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent face=Topic |
| 2 | **follow** | present | you *not said here* |  |  |  |  |  | vn comprehend-87.2-1 «NP V S\_ING»: agent=Experiencer clause=Stimulus |
| 3 | **point** | gerund | you *not said here* |  |  |  |  |  | vn wink-40.3.1 «NP V»: agent=Agent |
| 4 | **not** **talk** | infinitive | you *not said here* |  |  |  |  |  | vn talk-37.5 «NP V»: 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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