---
title: Which of the following statements most accurately characterises the… — Soft words for hard things: crime, pri… · tree and pragmatics
description: Which of the following statements most accurately characterises the term "irregularities" as employed in an official audit? Exam question 1 of lesson 28 «Soft words for hard things: crime, prison and the police and lying and honesty» of the euphemisms course of Mova's primary school, with the depend
---

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# Exam question 1 · Soft words for hard things: crime, prison and the police a…

<!-- .ven lang=en -->
Which of the following statements most accurately characterises the term "irregularities" as employed in an official audit?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **What happens:** follow, characteris, employ · **To what, where:** term, official audit

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This is exam question 1 of lesson 28 «Soft words for hard things: crime, prison and the police and lying and honesty» of the euphemisms 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/euphemisms/28-stealing-and-lying/#e1).

## The question {#question}

```conllu
# sent_id = question:euphemisms:28-stealing-and-lying:e1:1
# text = Which of the following statements most accurately characterises the term "irregularities" as employed in an official audit?
1	Which	which	PRON	WDT	PronType=Rel	8	nsubj	_	_
2	of	of	ADP	IN	_	5	case	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	following	follow	VERB	VBG	VerbForm=Ger	5	amod	_	_
5	statements	statement	NOUN	NNS	Number=Plur	8	obl	_	_
6	most	most	ADV	RBS	Degree=Sup	7	advmod	_	_
7	accurately	accurately	ADV	RB	_	8	advmod	_	_
8	characterises	characteris	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	term	term	NOUN	NN	Number=Sing	8	obj	_	_
11	"	"	PUNCT	``	_	12	punct	_	SpaceAfter=No
12	irregularities	irregularity	NOUN	NNS	Number=Plur	10	appos	_	SpaceAfter=No
13	"	"	PUNCT	''	_	12	punct	_	_
14	as	as	SCONJ	IN	_	15	mark	_	_
15	employed	employ	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	advcl	_	_
16	in	in	ADP	IN	_	19	case	_	_
17	an	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
18	official	official	ADJ	JJ	Degree=Pos	19	amod	_	_
19	audit	audit	NOUN	NN	Number=Sing	15	obl	_	SpaceAfter=No
20	?	?	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **follow** | gerund |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 2 | **characteris** | present |  | the term |  |  |  | of the following statements; accurately *property* | tree rules |
| 3 | **employ** | participle |  |  |  | a official audit |  |  | vn hire-13.5.3 «NP V NP»: agent=Agent |

<!-- .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 -->
It denotes pages bound out of sequence

```conllu
# sent_id = question:euphemisms:28-stealing-and-lying:e1:o1:1
# text = It denotes pages bound out of sequence
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	denotes	denote	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	pages	page	NOUN	NNS	Number=Plur	2	obj	_	_
4	bound	bind	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	acl	_	_
5	out	out	ADP	IN	_	7	case	_	_
6	of	of	ADP	IN	_	7	case	_	_
7	sequence	sequence	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **denote** | present | It | pages |  |  |  |  | vn indicate-78 «NP V NP»: agent=Pivot page=Topic |
| 2 | **bind** | participle |  | pages *not said here* |  | sequence |  |  | vn shake-22.3-2-1 «NP V ADV-Middle»: agent=Patient |

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

<!-- .ven lang=en -->
It denotes fraud or wrongdoing

```conllu
# sent_id = question:euphemisms:28-stealing-and-lying:e1:o2:1
# text = It denotes fraud or wrongdoing
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	denotes	denote	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	fraud	fraud	NOUN	NN	Number=Sing	2	obj	_	_
4	or	or	CCONJ	CC	_	5	cc	_	_
5	wrongdoing	wrongdoing	NOUN	NN	Number=Sing	3	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **denote** | present | It | fraud or wrongdoing |  |  |  |  | vn indicate-78 «NP V NP»: agent=Pivot fraud=Topic |

### Option 3 {#o3}

<!-- .ven lang=en -->
It denotes figures printed in uneven columns

```conllu
# sent_id = question:euphemisms:28-stealing-and-lying:e1:o3:1
# text = It denotes figures printed in uneven columns
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	denotes	denote	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	figures	figure	NOUN	NNS	Number=Plur	2	obj	_	_
4	printed	print	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	acl	_	_
5	in	in	ADP	IN	_	7	case	_	_
6	uneven	uneven	ADJ	JJ	Degree=Pos	7	amod	_	_
7	columns	column	NOUN	NNS	Number=Plur	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **denote** | present | It | figures |  |  |  |  | vn indicate-78 «NP V NP»: agent=Pivot figure=Topic |
| 2 | **print** | participle |  | figures *not said here* |  | uneven columns |  |  | vn scribble-25.2-1 «NP V NP PP.destination»: agent=Agent in column=Destination |

### Option 4 {#o4}

<!-- .ven lang=en -->
It denotes untidy handwriting

```conllu
# sent_id = question:euphemisms:28-stealing-and-lying:e1:o4:1
# text = It denotes untidy handwriting
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	denotes	denote	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	untidy	untidy	ADJ	JJ	Degree=Pos	4	amod	_	_
4	handwriting	handwriting	NOUN	NN	Number=Sing	2	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **denote** | present | It | untidy handwriting |  |  |  |  | vn indicate-78 «NP V NP»: agent=Pivot handwriting=Topic |

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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 -->

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- ← previous: [Soft words for hard things: crime, pri…, test 13](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/28-stealing-and-lying/t13/)
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