---
title: If all the Sumatran rhinos alive met in one place, about how many wo… — Sumatra: the smallest tiger, the hairy… · tree and pragmatics
description: If all the Sumatran rhinos alive met in one place, about how many would there be? Test 11 of lesson 162 «Sumatra: the smallest tiger, the hairy rhino, the stinking giant flower and the venomous loris» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the ques
---

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# Test 11 · Sumatra: the smallest tiger, the hairy rhino, the stinking…

<!-- .ven lang=en -->
If all the Sumatran rhinos alive met in one place, about how many would there be?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Sumatran rhinos · **What happens:** meet, be · **To what, where:** one place, many

<!-- .vabout -->
This is test 11 of lesson 162 «Sumatra: the smallest tiger, the hairy rhino, the stinking giant flower and the venomous loris» 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/162-sumatra-tigers-hairy-rhinos-and-the-venomous-loris/#t11).

## The question {#question}

```conllu
# sent_id = question:biology:162-sumatra-tigers-hairy-rhinos-and-the-venomous-loris:t11:1
# text = If all the Sumatran rhinos alive met in one place, about how many would there be?
1	If	if	SCONJ	IN	_	7	mark	_	_
2	all	all	DET	PDT	PronType=Tot	5	det:predet	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	Sumatran	Sumatran	PROPN	NNP	Number=Sing	5	compound	_	_
5	rhinos	rhino	NOUN	NNS	Number=Plur	7	nsubj	_	_
6	alive	alive	ADJ	JJ	Degree=Pos	5	amod	_	_
7	met	meet	VERB	VBN	Tense=Past|VerbForm=Part	0	root	_	_
8	in	in	ADP	IN	_	10	case	_	_
9	one	one	NUM	CD	NumForm=Word|NumType=Card	10	nummod	_	_
10	place	place	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
11	,	,	PUNCT	,	_	17	punct	_	_
12	about	about	SCONJ	IN	_	17	mark	_	_
13	how	how	ADV	WRB	PronType=Int	14	advmod	_	_
14	many	many	ADJ	JJ	Degree=Pos	17	obj	_	_
15	would	would	AUX	MD	VerbForm=Fin	17	aux	_	_
16	there	there	ADV	RB	PronType=Dem	17	advmod	_	_
17	be	be	VERB	VB	VerbForm=Inf	7	conj	_	SpaceAfter=No
18	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **meet** | participle | all Sumatran rhinos |  |  | one place |  |  | vn meet-36.3-1 «NP V»: agent=Agent |
| 2 | **be** | would | all Sumatran rhinos *not said here* | many |  | there |  |  | vn representation-110.1 «NP V NP»: agent=Pivot many=Theme |

<!-- .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 -->
About ten thousand

```conllu
# sent_id = question:biology:162-sumatra-tigers-hairy-rhinos-and-the-venomous-loris:t11:o1:1
# text = About ten thousand
1	About	about	ADV	RB	_	3	advmod	_	_
2	ten	ten	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 {#o2}

<!-- .ven lang=en -->
About a million or more

```conllu
# sent_id = question:biology:162-sumatra-tigers-hairy-rhinos-and-the-venomous-loris:t11:o2:1
# text = About a million or more
1	About	about	ADV	RB	_	3	advmod	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	million	million	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
4	or	or	CCONJ	CC	_	5	cc	_	_
5	more	more	ADJ	JJR	Degree=Cmp	3	conj	_	_
```

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

### Option 3 · ← Mova's choice {#o3}

<!-- .ven lang=en -->
Exactly one, kept in a zoo

```conllu
# sent_id = question:biology:162-sumatra-tigers-hairy-rhinos-and-the-venomous-loris:t11:o3:1
# text = Exactly one, kept in a zoo
1	Exactly	exactly	ADV	RB	_	2	advmod	_	_
2	one	one	NUM	CD	NumForm=Word|NumType=Card	4	nsubj:pass	_	SpaceAfter=No
3	,	,	PUNCT	,	_	4	punct	_	_
4	kept	keep	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	in	in	ADP	IN	_	7	case	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	zoo	zoo	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **keep** | participle · passive |  | one |  | a zoo |  |  | vn keep-15.2 «NP V NP PP.location»: subject=Theme in zoo=Location |

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Fewer than fifty

```conllu
# sent_id = question:biology:162-sumatra-tigers-hairy-rhinos-and-the-venomous-loris:t11:o4:1
# text = Fewer than fifty
1	Fewer	few	ADJ	JJR	Degree=Cmp	3	advmod	_	_
2	than	than	ADP	IN	_	1	fixed	_	_
3	fifty	fifty	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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