---
title: Ascertain the approximate number of unprovoked bites on human beings… — Sharks by kind: great white, tiger, bu… · tree and pragmatics
description: Ascertain the approximate number of unprovoked bites on human beings attributed to all sharks annually throughout the world. Exam question 4 of lesson 310 «Sharks by kind: great white, tiger, bull and hammerhead» of the biology course of Mova's primary school, with the dependency tree and pragmatics
---

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# Exam question 4 · Sharks by kind: great white, tiger, bull and hammerhead

<!-- .ven lang=en -->
Ascertain the approximate number of unprovoked bites on human beings attributed to all sharks annually throughout the world.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** you · **What happens:** ascertain, attribute · **To what, where:** approximate number, human beings

<!-- .vabout -->
This is exam question 4 of lesson 310 «Sharks by kind: great white, tiger, bull and hammerhead» of the biology course of Mova's primary school, asked in stiff, formal language. 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/310-sharks-by-kind-great-white-tiger-bull-and-hammerhead/#e4).

## The question {#question}

```conllu
# sent_id = question:biology:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead:e4:1
# text = Ascertain the approximate number of unprovoked bites on human beings attributed to all sharks annually throughout the world.
1	Ascertain	ascertain	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	approximate	approximate	ADJ	JJ	Degree=Pos	4	amod	_	_
4	number	number	NOUN	NN	Number=Sing	1	obj	_	_
5	of	of	ADP	IN	_	7	case	_	_
6	unprovoked	unprovoked	ADJ	JJ	Degree=Pos	7	amod	_	_
7	bites	bite	NOUN	NNS	Number=Plur	4	nmod	_	_
8	on	on	ADP	IN	_	10	case	_	_
9	human	human	ADJ	JJ	Degree=Pos	10	amod	_	_
10	beings	being	NOUN	NNS	Number=Plur	7	nmod	_	_
11	attributed	attribute	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	10	acl	_	_
12	to	to	ADP	IN	_	14	case	_	_
13	all	all	DET	DT	PronType=Tot	14	det	_	_
14	sharks	shark	NOUN	NNS	Number=Plur	11	obl	_	_
15	annually	annually	ADV	RB	_	11	advmod	_	_
16	throughout	throughout	ADP	IN	_	18	case	_	_
17	the	the	DET	DT	Definite=Def|PronType=Art	18	det	_	_
18	world	world	NOUN	NN	Number=Sing	11	obl	_	SpaceAfter=No
19	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **ascertain** | imperative | you *not said here* | the approximate number of unprovoked bites on human beings |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent number=Topic |
| 2 | **attribute** | participle |  | human beings *not said here* |  |  | throughout the world | to all sharks; annually *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 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Approximately seventy thousand

```conllu
# sent_id = question:biology:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead:e4:o1:1
# text = Approximately seventy thousand
1	Approximately	approximately	ADV	RB	_	3	advmod	_	_
2	seventy	seventy	NUM	CD	NumForm=Word|NumType=Card	3	compound	_	_
3	thousand	thousand	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
```

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

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

<!-- .ven lang=en -->
Approximately seventy

```conllu
# sent_id = question:biology:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead:e4:o2:1
# text = Approximately seventy
1	Approximately	approximately	ADV	RB	_	2	advmod	_	_
2	seventy	seventy	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
Approximately seven hundred thousand

```conllu
# sent_id = question:biology:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead:e4:o3:1
# text = Approximately seven hundred thousand
1	Approximately	approximately	ADV	RB	_	4	advmod	_	_
2	seven	seven	NUM	CD	NumForm=Word|NumType=Card	3	compound	_	_
3	hundred	hundred	NUM	CD	NumForm=Word|NumType=Card	4	compound	_	_
4	thousand	thousand	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Approximately seven thousand

```conllu
# sent_id = question:biology:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead:e4:o4:1
# text = Approximately seven thousand
1	Approximately	approximately	ADV	RB	_	3	advmod	_	_
2	seven	seven	NUM	CD	NumForm=Word|NumType=Card	3	compound	_	_
3	thousand	thousand	NUM	CD	NumForm=Word|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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- ← previous: [Sharks by kind: great white, tiger, bu…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/biology/310-sharks-by-kind-great-white-tiger-bull-and-hammerhead/e3/)
- next →: [Sharks by kind, small and strange: wal…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/biology/311-sharks-by-kind-small-and-strange-walking-sharks-wobbegongs-cookiecutters-and-goblin-sharks/t1/)
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