---
title: «they cloned a ferret?? from what» What is right? — Comeback stories: bald eagles, humpbac… · tree and pragmatics
description: «they cloned a ferret?? from what» What is right? Test 11 of lesson 282 «Comeback stories: bald eagles, humpback whales, condors and the kakapo» 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 was right.
---

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# Test 11 · Comeback stories: bald eagles, humpback whales, condors an…

<!-- .ven lang=en -->
«they cloned a ferret?? from what» What is right?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** they · **What happens:** clone, be · **To what, where:** ferret

<!-- .vabout -->
This is test 11 of lesson 282 «Comeback stories: bald eagles, humpback whales, condors and the kakapo» 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/282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo/#t11).

## The question {#question}

```conllu
# sent_id = question:biology:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo:t11:1
# text = «they cloned a ferret?? from what» What is right?
1	«	«	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
3	cloned	clone	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	ferret	ferret	NOUN	NN	Number=Sing	3	obj	_	SpaceAfter=No
6	??	??	PUNCT	.	_	3	punct	_	_
7	from	from	ADP	IN	_	8	case	_	_
8	what	what	PRON	WP	PronType=Rel	3	obl	_	SpaceAfter=No
9	»	»	PUNCT	''	_	8	punct	_	_
10	What	what	PRON	WP	PronType=Int	12	nsubj	_	_
11	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	12	cop	_	_
12	right	right	ADJ	JJ	Degree=Pos	8	acl:relcl	_	SpaceAfter=No
13	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **clone** *in a quote* | past | they | a ferret |  |  |  |  | tree rules |
| 2 | **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 -->
From a ferret's tooth found in a cave

```conllu
# sent_id = question:biology:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo:t11:o1:1
# text = From a ferret's tooth found in a cave
1	From	from	ADP	IN	_	5	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	ferret	ferret	NOUN	NN	Number=Sing	5	nmod:poss	_	SpaceAfter=No
4	's	's	PART	POS	_	3	case	_	_
5	tooth	tooth	NOUN	NN	Number=Sing	0	root	_	_
6	found	find	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	acl	_	_
7	in	in	ADP	IN	_	9	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	cave	cave	NOUN	NN	Number=Sing	6	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **find** | participle |  | a ferret's tooth *not said here* |  | a cave |  |  | vn declare-29.4-1-1 «NP V what S\_INF»: agent=Agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
From a toy ferret

```conllu
# sent_id = question:biology:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo:t11:o2:1
# text = From a toy ferret
1	From	from	ADP	IN	_	4	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
3	toy	toy	NOUN	NN	Number=Sing	4	compound	_	_
4	ferret	ferret	NOUN	NN	Number=Sing	0	root	_	_
```

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

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

<!-- .ven lang=en -->
From cells frozen in 1988

```conllu
# sent_id = question:biology:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo:t11:o3:1
# text = From cells frozen in 1988
1	From	from	ADP	IN	_	2	case	_	_
2	cells	cell	NOUN	NNS	Number=Plur	0	root	_	_
3	frozen	freeze	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	acl	_	_
4	in	in	ADP	IN	_	5	case	_	_
5	1988	1988	NUM	CD	NumForm=Digit|NumType=Card	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **freeze** | participle |  | cells *not said here* |  | 1988 |  |  | vn other\_cos-45.4-1 «NP.patient V»: agent=Patient |

### Option 4 {#o4}

<!-- .ven lang=en -->
From a cat's DNA

```conllu
# sent_id = question:biology:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo:t11:o4:1
# text = From a cat's DNA
1	From	from	ADP	IN	_	5	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	cat	cat	NOUN	NN	Number=Sing	5	nmod:poss	_	SpaceAfter=No
4	's	's	PART	POS	_	3	case	_	_
5	DNA	DNA	NOUN	NN	Number=Sing	0	root	_	_
```

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

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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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- next →: [Comeback stories: bald eagles, humpbac…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/biology/282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo/e1/)
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