---
title: «4 baby giant tortoises hatched, how many legs in total? mate says 8» — Breeding programmes for rare animals:… · tree and pragmatics
description: «4 baby giant tortoises hatched, how many legs in total? mate says 8» Test 9 of lesson 113 «Breeding programmes for rare animals: studbooks and frozen zoos» 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 w
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/biology/113-breeding-programmes-for-rare-animals/t9/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/questions/biology/) / [Breeding programmes for rare animals:…](https://md.mova.elamur.ai/free/en/corpora/questions/biology/113-breeding-programmes-for-rare-animals/) / t9

# Test 9 · Breeding programmes for rare animals: studbooks and frozen…

<!-- .ven lang=en -->
«4 baby giant tortoises hatched, how many legs in total? mate says 8»

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** baby giant tortoises, mate · **What happens:** hatch, say · **To what, where:** many legs, 8 · **Speech:** someone speaks here

<!-- .vabout -->
This is test 9 of lesson 113 «Breeding programmes for rare animals: studbooks and frozen zoos» 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/113-breeding-programmes-for-rare-animals/#t9).

## The question {#question}

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t9:1
# text = «4 baby giant tortoises hatched, how many legs in total? mate says 8»
1	«	«	PUNCT	``	_	6	punct	_	SpaceAfter=No
2	4	4	NUM	CD	NumForm=Digit|NumType=Card	3	nummod	_	_
3	baby	baby	NOUN	NN	Number=Sing	5	compound	_	_
4	giant	giant	ADJ	JJ	Degree=Pos	5	amod	_	_
5	tortoises	tortoise	NOUN	NNS	Number=Plur	6	nsubj	_	_
6	hatched	hatch	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	15	ccomp	_	SpaceAfter=No
7	,	,	PUNCT	,	_	10	punct	_	_
8	how	how	ADV	WRB	PronType=Int	9	advmod	_	_
9	many	many	ADJ	JJ	Degree=Pos	10	amod	_	_
10	legs	leg	NOUN	NNS	Number=Plur	6	obl	_	_
11	in	in	ADP	IN	_	12	case	_	_
12	total	total	ADJ	JJ	Degree=Pos	10	nmod	_	SpaceAfter=No
13	?	?	PUNCT	.	_	6	punct	_	_
14	mate	mate	NOUN	NN	Number=Sing	15	nsubj	_	_
15	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
16	8	8	NUM	CD	NumForm=Digit|NumType=Card	15	obj	_	SpaceAfter=No
17	»	»	PUNCT	''	_	15	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **hatch** *in a quote* | past | baby giant tortoises | many legs in total |  |  |  |  | vn grow-26.2.1 «NP.patient V PP.product»: agent=Patient |
| 2 | **say** *speech: ask* *in a quote* | present | mate | 8 |  |  |  |  | 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 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
12, three legs each

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t9:o1:1
# text = 12, three legs each
1	12	12	NUM	CD	NumForm=Digit|NumType=Card	4	nummod	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	three	three	NUM	CD	NumForm=Word|NumType=Card	4	nummod	_	_
4	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
5	each	each	DET	DT	PronType=Tot	4	nmod:unmarked	_	_
```

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

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

<!-- .ven lang=en -->
16, four legs each

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t9:o2:1
# text = 16, four legs each
1	16	16	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	four	four	NUM	CD	NumForm=Word|NumType=Card	4	nummod	_	_
4	legs	leg	NOUN	NNS	Number=Plur	1	conj	_	_
5	each	each	DET	DT	PronType=Tot	1	nmod:unmarked	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
4, just one leg each

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t9:o3:1
# text = 4, just one leg each
1	4	4	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	5	punct	_	_
3	just	just	ADV	RB	_	5	advmod	_	_
4	one	one	NUM	CD	NumForm=Word|NumType=Card	5	nummod	_	_
5	leg	leg	NOUN	NN	Number=Sing	1	appos	_	_
6	each	each	DET	DT	PronType=Tot	5	nmod:unmarked	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
8, two legs each, like birds

```conllu
# sent_id = question:biology:113-breeding-programmes-for-rare-animals:t9:o4:1
# text = 8, two legs each, like birds
1	8	8	NUM	CD	NumForm=Digit|NumType=Card	4	nummod	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	two	two	NUM	CD	NumForm=Word|NumType=Card	4	nummod	_	_
4	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
5	each	each	DET	DT	PronType=Tot	4	nmod:unmarked	_	SpaceAfter=No
6	,	,	PUNCT	,	_	8	punct	_	_
7	like	like	ADP	IN	_	8	case	_	_
8	birds	bird	NOUN	NNS	Number=Plur	4	conj	_	_
```

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

<!-- div src -->

**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 -->

<!-- pn -->
- ← previous: [Breeding programmes for rare animals:…, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/biology/113-breeding-programmes-for-rare-animals/t8/)
- next →: [Breeding programmes for rare animals:…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/biology/113-breeding-programmes-for-rare-animals/t10/)
- ↑ back to [Breeding programmes for rare animals: studbooks and frozen zoos](https://md.mova.elamur.ai/free/en/corpora/questions/biology/113-breeding-programmes-for-rare-animals/)

