---
title: A news story says «crow solves puzzle». What makes it most believable? — Animals in the news: true stories, fak… · tree and pragmatics
description: A news story says «crow solves puzzle». What makes it most believable? Test 6 · ★★ of lesson 296 «Animals in the news: true stories, fakes and how to read them» 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 w
---

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# Test 6 · ★★ · Animals in the news: true stories, fakes and how to read t…

<!-- .ven lang=en -->
A news story says «crow solves puzzle». What makes it most believable?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** news story, crow · **What happens:** say, solve, make · **To what, where:** puzzle · **Speech:** someone speaks here

<!-- .vabout -->
This is test 6 · ★★ of lesson 296 «Animals in the news: true stories, fakes and how to read them» 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/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/#t6).

## The question {#question}

<!-- .note -->
*Sentence 1:* A news story says «crow solves puzzle».

```conllu
# sent_id = question:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them:t6:1
# text = A news story says «crow solves puzzle».
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	news	news	NOUN	NN	Number=Sing	3	compound	_	_
3	story	story	NOUN	NN	Number=Sing	4	nsubj	_	_
4	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	«	«	PUNCT	``	_	7	punct	_	SpaceAfter=No
6	crow	crow	NOUN	NN	Number=Sing	7	nsubj	_	_
7	solves	solve	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	ccomp	_	_
8	puzzle	puzzle	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
9	»	»	PUNCT	''	_	7	punct	_	SpaceAfter=No
10	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | a news story |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **solve** *in a quote* | present | crow | puzzle |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent puzzle=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 makes it most believable?

```conllu
# sent_id = question:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them:t6:2
# text = What makes it most believable?
1	What	what	PRON	WP	PronType=Int	2	nsubj	_	_
2	makes	make	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	obj	_	_
4	most	most	ADV	RBS	Degree=Sup	5	advmod	_	_
5	believable	believable	ADJ	JJ	Degree=Pos	2	xcomp	_	SpaceAfter=No
6	?	?	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | present |  | puzzle |  |  |  | believable *property* | vn build-26.1-1 «NP.material V NP»: agent=Material it=Product |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
The headline used capital letters

```conllu
# sent_id = question:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them:t6:o1:1
# text = The headline used capital letters
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	headline	headline	NOUN	NN	Number=Sing	0	root	_	_
3	used	use	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	amod	_	_
4	capital	capital	NOUN	NN	Number=Sing	5	compound	_	_
5	letters	letter	NOUN	NNS	Number=Plur	2	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | participle |  |  |  |  |  |  | vn eat-39.1 «NP V»: agent=Agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
It was posted by someone with many followers

```conllu
# sent_id = question:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them:t6:o2:1
# text = It was posted by someone with many followers
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj:pass	_	_
2	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	3	aux:pass	_	_
3	posted	post	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	by	by	ADP	IN	_	5	case	_	_
5	someone	someone	PRON	NN	Number=Sing|PronType=Ind	3	obl	_	_
6	with	with	ADP	IN	_	8	case	_	_
7	many	many	ADJ	JJ	Degree=Pos	8	amod	_	_
8	followers	follower	NOUN	NNS	Number=Plur	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **post** | past · passive | someone | It |  |  |  | with many followers | vn send-11.1 «NP V NP»: agent=Agent subject=Theme |

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

<!-- .ven lang=en -->
Scientists filmed the test so others can check it

```conllu
# sent_id = question:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them:t6:o3:1
# text = Scientists filmed the test so others can check it
1	Scientists	scientist	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	filmed	film	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	test	test	NOUN	NN	Number=Sing	2	obj	_	_
5	so	so	SCONJ	IN	_	8	mark	_	_
6	others	other	NOUN	NNS	Number=Plur	8	nsubj	_	_
7	can	can	AUX	MD	VerbForm=Fin	8	aux	_	_
8	check	check	VERB	VB	VerbForm=Inf	2	advcl	_	_
9	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	8	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **film** | past | Scientists | the test |  |  |  |  | vn transcribe-25.4 «NP V NP»: agent=Agent test=Theme |
| 2 | **check** | can | others | test |  |  |  |  | vn assessment-34.1 «NP V NP»: agent=Agent it=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
The crow looked very clever in the photo

```conllu
# sent_id = question:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them:t6:o4:1
# text = The crow looked very clever in the photo
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	crow	crow	NOUN	NN	Number=Sing	3	nsubj	_	_
3	looked	look	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	very	very	ADV	RB	_	5	advmod	_	_
5	clever	clever	ADJ	JJ	Degree=Pos	3	xcomp	_	_
6	in	in	ADP	IN	_	8	case	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	photo	photo	NOUN	NN	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **look** | past | the crow |  |  |  |  | in the photo; clever *property* | vn peer-30.3 «NP V PP.theme»: agent=Agent in photo=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.

<!-- /div -->

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- ← previous: [Animals in the news: true stories, fak…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/t5/)
- next →: [Animals in the news: true stories, fak…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/t7/)
- ↑ back to [Animals in the news: true stories, fakes and how to read them](https://md.mova.elamur.ai/free/en/corpora/questions/biology/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/)