---
title: News line: "Carmaker to cut 2,000 jobs in major restructuring." What… — Soft words for hard things: money and… · tree and pragmatics
description: News line: "Carmaker to cut 2,000 jobs in major restructuring." What is "restructuring" hiding here? Test 1 · ★★ of lesson 20 «Soft words for hard things: money and poverty and work, firing and the economy» of the euphemisms course of Mova's primary school, with the dependency tree and pragmatics of
---

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# Test 1 · ★★ · Soft words for hard things: money and poverty and work, fi…

<!-- .ven lang=en -->
News line: "Carmaker to cut 2,000 jobs in major restructuring." What is "restructuring" hiding here?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** restructuring · **What happens:** cut, be, hide · **To what, where:** 2,000 jobs, major restructuring

<!-- .vabout -->
This is test 1 · ★★ of lesson 20 «Soft words for hard things: money and poverty and work, firing and the economy» of the euphemisms 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/euphemisms/20-debt-and-jobs/#t1).

## The question {#question}

<!-- .note -->
*Sentence 1:* News line: "Carmaker to cut 2,000 jobs in major restructuring."

```conllu
# sent_id = question:euphemisms:20-debt-and-jobs:t1:1
# text = News line: "Carmaker to cut 2,000 jobs in major restructuring."
1	News	news	NOUN	NN	Number=Sing	2	compound	_	_
2	line	line	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	:	:	PUNCT	:	_	5	punct	_	_
4	"	"	PUNCT	``	_	5	punct	_	SpaceAfter=No
5	Carmaker	carmaker	NOUN	NN	Number=Sing	2	appos	_	_
6	to	to	PART	TO	_	7	mark	_	_
7	cut	cut	VERB	VB	VerbForm=Inf	5	acl	_	_
8	2,000	2000	NUM	CD	NumForm=Digit|NumType=Card	9	nummod	_	_
9	jobs	job	NOUN	NNS	Number=Plur	7	obj	_	_
10	in	in	ADP	IN	_	12	case	_	_
11	major	major	ADJ	JJ	Degree=Pos	12	amod	_	_
12	restructuring	restructuring	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
13	.	.	PUNCT	.	_	2	punct	_	SpaceAfter=No
14	"	"	PUNCT	''	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **cut** *in a quote* | to-infinitive |  | 2,000 jobs |  | major restructuring |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset job=Product |

<!-- .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.

<!-- .note -->
*Sentence 2:* What is "restructuring" hiding here?

```conllu
# sent_id = question:euphemisms:20-debt-and-jobs:t1:2
# text = What is "restructuring" hiding here?
1	What	what	PRON	WP	PronType=Int	0	root	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	"	"	PUNCT	``	_	4	punct	_	SpaceAfter=No
4	restructuring	restructuring	NOUN	NN	Number=Sing	1	nsubj	_	SpaceAfter=No
5	"	"	PUNCT	''	_	4	punct	_	_
6	hiding	hide	VERB	VBG	VerbForm=Ger	4	acl	_	_
7	here	here	ADV	RB	PronType=Dem	6	advmod	_	SpaceAfter=No
8	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | restructuring |  |  |  |  |  | tree rules |
| 2 | **hide** | gerund | restructuring *not said here* |  |  | here |  |  | vn concealment-16-1 «NP V»: agent=Agent |

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Thousands of job cuts

```conllu
# sent_id = question:euphemisms:20-debt-and-jobs:t1:o1:1
# text = Thousands of job cuts
1	Thousands	thousand	NOUN	NNS	Number=Plur	0	root	_	_
2	of	of	ADP	IN	_	4	case	_	_
3	job	job	NOUN	NN	Number=Sing	4	compound	_	_
4	cuts	cut	NOUN	NNS	Number=Plur	1	nmod	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
More cars made

```conllu
# sent_id = question:euphemisms:20-debt-and-jobs:t1:o2:1
# text = More cars made
1	More	more	ADJ	JJR	Degree=Cmp	2	amod	_	_
2	cars	car	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	made	make	VERB	VBN	Tense=Past|VerbForm=Part	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | participle | More cars |  |  |  |  |  | vn build-26.1-1 «NP.material V NP»: agent=Material |

### Option 3 {#o3}

<!-- .ven lang=en -->
A change of logo

```conllu
# sent_id = question:euphemisms:20-debt-and-jobs:t1:o3:1
# text = A change of logo
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	change	change	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	logo	logo	NOUN	NN	Number=Sing	2	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **change** |  | logo |  |  |  |  |  | nom change «event intransitive»: of=agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
A new factory roof

```conllu
# sent_id = question:euphemisms:20-debt-and-jobs:t1:o4:1
# text = A new factory roof
1	A	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
2	new	new	ADJ	JJ	Degree=Pos	4	amod	_	_
3	factory	factory	NOUN	NN	Number=Sing	4	compound	_	_
4	roof	roof	NOUN	NN	Number=Sing	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: [Soft words for hard things: money and…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/19-money-and-poverty/e4/)
- next →: [Soft words for hard things: money and…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/20-debt-and-jobs/t2/)
- ↑ back to [Soft words for hard things: money and poverty and work, firing and the economy](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/20-debt-and-jobs/)