---
title: Identify the classification of whales, having regard to the facts th… — Saying "I was wrong" and laughing with… · tree and pragmatics
description: Identify the classification of whales, having regard to the facts that they breathe air and nourish their young with milk. Exam question 2 of lesson 190 «Saying "I was wrong" and laughing without being cruel» of the world course of Mova's primary school, with the dependency tree and pragmatics of th
---

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# Exam question 2 · Saying "I was wrong" and laughing without being cruel

<!-- .ven lang=en -->
Identify the classification of whales, having regard to the facts that they breathe air and nourish their young with milk.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** you, facts · **What happens:** identify, have, breathe, nourish, classify · **To what, where:** classification, regard, facts, young, whales

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This is exam question 2 of lesson 190 «Saying "I was wrong" and laughing without being cruel» of the world 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/world/190-saying-i-was-wrong-and-laughing-without-being-cruel/#e2).

## The question {#question}

```conllu
# sent_id = question:world:190-saying-i-was-wrong-and-laughing-without-being-cruel:e2:1
# text = Identify the classification of whales, having regard to the facts that they breathe air and nourish their young with milk.
1	Identify	identify	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	classification	classification	NOUN	NN	Number=Sing	1	obj	_	_
4	of	of	ADP	IN	_	5	case	_	_
5	whales	whale	NOUN	NNS	Number=Plur	3	nmod	_	SpaceAfter=No
6	,	,	PUNCT	,	_	7	punct	_	_
7	having	have	VERB	VBG	Tense=Pres|VerbForm=Part	1	advcl	_	_
8	regard	regard	NOUN	NN	Number=Sing	7	obj	_	_
9	to	to	ADP	IN	_	11	case	_	_
10	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
11	facts	fact	NOUN	NNS	Number=Plur	7	obl	_	_
12	that	that	PRON	WDT	PronType=Rel	14	obj	_	_
13	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	14	nsubj	_	_
14	breathe	breathe	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	11	acl:relcl	_	_
15	air	air	NOUN	NN	Number=Sing	14	obj	_	_
16	and	and	CCONJ	CC	_	17	cc	_	_
17	nourish	nourish	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	14	conj	_	_
18	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	19	nmod:poss	_	_
19	young	young	NOUN	NN	Number=Sing	17	obj	_	_
20	with	with	ADP	IN	_	21	case	_	_
21	milk	milk	NOUN	NN	Number=Sing	17	obl	_	SpaceAfter=No
22	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **identify** | imperative | you *not said here* | the classification of whales |  |  |  |  | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent classification=Theme |
| 2 | **have** | gerund | you *not said here* | regard |  |  |  | to the facts | vn birth-28.2-1 «NP V NP»: agent=Agent regard=Patient |
| 3 | **breathe** | present | facts *= fact* | the facts |  |  |  |  | tree rules |
| 4 | **nourish** | present | facts *= fact* *not said here* | facts's young |  |  |  | with milk | vn subjugate-42.3 «NP V NP PP.instrument»: agent=Agent young=Patient with milk=Instrument |
| 5 | **classify** |  |  | whales |  |  |  |  | nom classification «act transitive»: of=patient |

<!-- .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 -->
Reptiles

```conllu
# sent_id = question:world:190-saying-i-was-wrong-and-laughing-without-being-cruel:e2:o1:1
# text = Reptiles
1	Reptiles	reptile	NOUN	NNS	Number=Plur	0	root	_	_
```

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

### Option 2 {#o2}

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

```conllu
# sent_id = question:world:190-saying-i-was-wrong-and-laughing-without-being-cruel:e2:o2:1
# text = Fish
1	Fish	fish	NOUN	NNS	Number=Plur	0	root	_	_
```

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

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

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

```conllu
# sent_id = question:world:190-saying-i-was-wrong-and-laughing-without-being-cruel:e2:o3:1
# text = Mammals
1	Mammals	mammal	NOUN	NNS	Number=Plur	0	root	_	_
```

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

### Option 4 {#o4}

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

```conllu
# sent_id = question:world:190-saying-i-was-wrong-and-laughing-without-being-cruel:e2:o4:1
# text = Amphibians
1	Amphibians	amphibian	NOUN	NNS	Number=Plur	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.

<!-- /div -->

<!-- pn -->
- ← previous: [Saying "I was wrong" and laughing with…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/world/190-saying-i-was-wrong-and-laughing-without-being-cruel/e1/)
- next →: [Saying "I was wrong" and laughing with…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/world/190-saying-i-was-wrong-and-laughing-without-being-cruel/e3/)
- ↑ back to [Saying "I was wrong" and laughing without being cruel](https://md.mova.elamur.ai/free/en/corpora/questions/world/190-saying-i-was-wrong-and-laughing-without-being-cruel/)

