---
title: «3 spiders in the bath, how many legs is that, shut up and count» — Spider-Man: real spider silk and webs · tree and pragmatics
description: «3 spiders in the bath, how many legs is that, shut up and count» Test 1 of lesson 147 «Spider-Man: real spider silk and webs» 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 1 · Spider-Man: real spider silk and webs

<!-- .ven lang=en -->
«3 spiders in the bath, how many legs is that, shut up and count»

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** 3 spiders · **What happens:** be, count

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This is test 1 of lesson 147 «Spider-Man: real spider silk and webs» 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/147-spider-man-real-spider-silk-and-webs/#t1).

## The question {#question}

```conllu
# sent_id = question:biology:147-spider-man-real-spider-silk-and-webs:t1:1
# text = «3 spiders in the bath, how many legs is that, shut up and count»
1	«	«	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	3	3	NUM	CD	NumForm=Digit|NumType=Card	3	nummod	_	_
3	spiders	spider	NOUN	NNS	Number=Plur	14	nsubj	_	_
4	in	in	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	bath	bath	NOUN	NN	Number=Sing	3	nmod	_	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	conj	_	_
11	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	14	cop	_	_
12	that	that	PRON	DT	Number=Sing|PronType=Dem	14	nsubj	_	SpaceAfter=No
13	,	,	PUNCT	,	_	12	punct	_	_
14	shut	shut	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
15	up	up	ADP	RP	_	14	compound:prt	_	_
16	and	and	CCONJ	CC	_	17	cc	_	_
17	count	count	VERB	VB	Mood=Imp|VerbForm=Fin	14	conj	_	SpaceAfter=No
18	»	»	PUNCT	''	_	14	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** *in a quote* | present | 3 spiders in the bath and many legs |  |  |  |  | shut *property* | tree rules |
| 2 | **count** *in a quote* | infinitive | 3 spiders in the bath and many legs *not said here* |  |  |  |  |  | vn matter-91 «NP V»: agent=Stimulus |

<!-- .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 · ✓ the right answer {#o1}

<!-- .ven lang=en -->
24

```conllu
# sent_id = question:biology:147-spider-man-real-spider-silk-and-webs:t1:o1:1
# text = 24
1	24	24	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 -->
32

```conllu
# sent_id = question:biology:147-spider-man-real-spider-silk-and-webs:t1:o2:1
# text = 32
1	32	32	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
18

```conllu
# sent_id = question:biology:147-spider-man-real-spider-silk-and-webs:t1:o3:1
# text = 18
1	18	18	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 -->
12

```conllu
# sent_id = question:biology:147-spider-man-real-spider-silk-and-webs:t1:o4:1
# text = 12
1	12	12	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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