---
title: «Scientists say chocolate makes you clever!!» No names, no study. Wh… — Too many details, too few · tree and pragmatics
description: «Scientists say chocolate makes you clever!!» No names, no study. What's the sharpest reply? Test 3 · ★★★ of lesson 450 «Too many details, too few» 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 wrong.
---

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# Test 3 · ★★★ · Too many details, too few

<!-- .ven lang=en -->
«Scientists say chocolate makes you clever!!» No names, no study. What's the sharpest reply?

<!-- .vintro -->
**Mova's choice:** option 4 · **The right answer:** option 2 · wrong ✗ · **Who acts:** Scientists, chocolate, sharpest reply · **What happens:** say, make, be · **To what, where:** you · **Speech:** someone speaks here

<!-- .vabout -->
This is test 3 · ★★★ of lesson 450 «Too many details, too few» of the everyday 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/everyday/450-too-many-details-too-few/#t3).

## The question {#question}

<!-- .note -->
*Sentence 1:* «Scientists say chocolate makes you clever!!»

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:1
# text = «Scientists say chocolate makes you clever!!»
1	«	«	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	Scientists	scientist	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	say	say	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	chocolate	chocolate	NOUN	NN	Number=Sing	5	nsubj	_	_
5	makes	make	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	ccomp	_	_
6	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	5	obj	_	_
7	clever	clever	ADJ	JJ	Degree=Pos	5	xcomp	_	SpaceAfter=No
8	!!	!!	PUNCT	.	_	3	punct	_	SpaceAfter=No
9	»	»	PUNCT	''	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* *in a quote* | present | Scientists |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **make** *in a quote* | present | chocolate | you |  |  |  | clever *property* | vn build-26.1-1 «NP.material V NP»: agent=Material you=Product |

<!-- .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:* No names, no study.

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:2
# text = No names, no study.
1	No	no	DET	DT	PronType=Neg	2	det	_	_
2	names	name	NOUN	NNS	Number=Plur	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	5	punct	_	_
4	no	no	DET	DT	PronType=Neg	5	det	_	_
5	study	study	NOUN	NN	Number=Sing	2	conj	_	SpaceAfter=No
6	.	.	PUNCT	.	_	2	punct	_	_
```

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

<!-- .note -->
*Sentence 3:* What's the sharpest reply?

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:3
# text = What's the sharpest reply?
1	What	what	PRON	WP	PronType=Int	0	root	_	SpaceAfter=No
2	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	sharpest	sharp	ADJ	JJS	Degree=Sup	5	amod	_	_
5	reply	reply	NOUN	NN	Number=Sing	1	nsubj	_	SpaceAfter=No
6	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | the sharpest reply |  |  |  |  |  | tree rules |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Brilliant, give me chocolate

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:o1:1
# text = Brilliant, give me chocolate
1	Brilliant	brilliant	ADJ	JJ	Degree=Pos	3	advcl	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	give	give	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
4	me	I	PRON	PRP	Case=Acc|Number=Sing|Person=1|PronType=Prs	3	iobj	_	_
5	chocolate	chocolate	NOUN	NN	Number=Sing	3	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give** | imperative | you *not said here* | chocolate | me |  |  |  | vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent i=Recipient chocolate=Theme |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Which scientists, and where's the study?

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:o2:1
# text = Which scientists, and where's the study?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	scientists	scientist	NOUN	NNS	Number=Plur	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	8	punct	_	_
4	and	and	CCONJ	CC	_	8	cc	_	_
5	where	where	ADV	WRB	PronType=Rel	8	advmod	_	SpaceAfter=No
6	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	study	study	NOUN	NN	Number=Sing	2	conj	_	SpaceAfter=No
9	?	?	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present |  | the study |  |  |  |  | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
If it's said loud it's true

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:o3:1
# text = If it's said loud it's true
1	If	if	SCONJ	IN	_	4	mark	_	_
2	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	SpaceAfter=No
3	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
4	said	say	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	loud	loud	ADJ	JJ	Degree=Pos	4	xcomp	_	_
6	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	8	nsubj	_	SpaceAfter=No
7	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
8	true	true	ADJ	JJ	Degree=Pos	4	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present · passive |  | it |  |  |  | loud *property* | vn say-37.7-1-1 «NP V NP.topic»: subject=Topic |
| 2 | **is** | present | it |  |  |  |  | true *property* | tree rules |

### Option 4 · ← Mova's choice {#o4}

<!-- .ven lang=en -->
Scientists always agree on food, so it must be right

```conllu
# sent_id = question:everyday:450-too-many-details-too-few:t3:o4:1
# text = Scientists always agree on food, so it must be right
1	Scientists	scientist	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	always	always	ADV	RB	PronType=Tot	3	advmod	_	_
3	agree	agree	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	on	on	ADP	IN	_	5	case	_	_
5	food	food	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
6	,	,	PUNCT	,	_	11	punct	_	_
7	so	so	ADV	RB	_	11	advmod	_	_
8	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	11	nsubj	_	_
9	must	must	AUX	MD	VerbForm=Fin	11	aux	_	_
10	be	be	AUX	VB	VerbForm=Inf	11	cop	_	_
11	right	right	ADJ	JJ	Degree=Pos	3	parataxis	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **agree** *speech: agree* | present | Scientists |  |  |  |  | on food; always *property* | vn correspond-36.1-1 «NP V PP.theme S»: agent=Agent on food=Topic |
| 2 | **is** | must | food |  |  |  |  | right *property* | tree rules |

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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: [Too many details, too few, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/450-too-many-details-too-few/t2/)
- next →: [Too many details, too few, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/everyday/450-too-many-details-too-few/t4/)
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