---
title: Count them: a girl draws 3 beetles and 2 spiders in her notebook. Ho… — How scientists find out: naturalists,… · tree and pragmatics
description: Count them: a girl draws 3 beetles and 2 spiders in her notebook. How many legs does she draw if she gets them right? Test 3 of lesson 264 «How scientists find out: naturalists, Darwin, the microscope and wildlife filming» of the biology course of Mova's primary school, with the dependency tree and 
---

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# Test 3 · How scientists find out: naturalists, Darwin, the microsco…

<!-- .ven lang=en -->
Count them: a girl draws 3 beetles and 2 spiders in her notebook. How many legs does she draw if she gets them right?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** you, girl, many legs · **What happens:** count, draw, get · **To what, where:** them, 3 beetles, notebook, legs

<!-- .vabout -->
This is test 3 of lesson 264 «How scientists find out: naturalists, Darwin, the microscope and wildlife filming» 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/264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming/#t3).

## The question {#question}

<!-- .note -->
*Sentence 1:* Count them: a girl draws 3 beetles and 2 spiders in her notebook.

```conllu
# sent_id = question:biology:264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming:t3:1
# text = Count them: a girl draws 3 beetles and 2 spiders in her notebook.
1	Count	count	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	1	obj	_	SpaceAfter=No
3	:	:	PUNCT	:	_	6	punct	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	girl	girl	NOUN	NN	Number=Sing	6	nsubj	_	_
6	draws	draw	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	parataxis	_	_
7	3	3	NUM	CD	NumForm=Digit|NumType=Card	8	nummod	_	_
8	beetles	beetle	NOUN	NNS	Number=Plur	6	obj	_	_
9	and	and	CCONJ	CC	_	11	cc	_	_
10	2	2	NUM	CD	NumForm=Digit|NumType=Card	11	nummod	_	_
11	spiders	spider	NOUN	NNS	Number=Plur	8	conj	_	_
12	in	in	ADP	IN	_	14	case	_	_
13	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	14	nmod:poss	_	_
14	notebook	notebook	NOUN	NN	Number=Sing	6	obl	_	SpaceAfter=No
15	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **count** | imperative | you *not said here* | them *= they* |  |  |  |  | vn multiply-108 «NP V NP»: agent=Agent they=Theme |
| 2 | **draw** | present | a girl | 3 beetles and 2 spiders |  | girl's notebook |  |  | vn scribble-25.2-1 «NP V NP PP.destination»: agent=Agent beetle=Theme in notebook=Destination |

<!-- .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:* How many legs does she draw if she gets them right?

```conllu
# sent_id = question:biology:264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming:t3:2
# text = How many legs does she draw if she gets them right?
1	How	how	ADV	WRB	PronType=Int	2	advmod	_	_
2	many	many	ADJ	JJ	Degree=Pos	3	amod	_	_
3	legs	leg	NOUN	NNS	Number=Plur	6	nsubj	_	_
4	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	aux	_	_
5	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	6	nsubj	_	_
6	draw	draw	VERB	VB	VerbForm=Inf	0	root	_	_
7	if	if	SCONJ	IN	_	9	mark	_	_
8	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	9	nsubj	_	_
9	gets	get	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	advcl	_	_
10	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	9	obj	_	_
11	right	right	ADJ	JJ	Degree=Pos	9	xcomp	_	SpaceAfter=No
12	?	?	PUNCT	.	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **draw** | present · do-support | many legs |  |  |  |  |  | vn scribble-25.2-1 «NP V»: agent=Agent |
| 2 | **get** *a condition, not said to happen* | present | girl | legs *= leg* |  |  |  | right *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer they=Stimulus |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
30

```conllu
# sent_id = question:biology:264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming:t3:o1:1
# text = 30
1	30	30	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
40

```conllu
# sent_id = question:biology:264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming:t3:o2:1
# text = 40
1	40	40	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 3 · ✓ the right answer {#o3}

<!-- .ven lang=en -->
34

```conllu
# sent_id = question:biology:264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming:t3:o3:1
# text = 34
1	34	34	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
25

```conllu
# sent_id = question:biology:264-how-scientists-find-out-naturalists-darwin-the-microscope-and-wildlife-filming:t3:o4:1
# text = 25
1	25	25	NUM	CD	NumForm=Digit|NumType=Card	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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