---
title: Our kid: "I've told you a million times, the cat's not dead, it's ju… — Olympiad: the euphemism detective ★★★ · tree and pragmatics
description: Our kid: "I've told you a million times, the cat's not dead, it's just been fixed!" How many times did he really say it, and what happened to the cat? Test 2 · ★★★ of lesson 41 «Olympiad: the euphemism detective ★★★» of the euphemisms course of Mova's primary school, with the dependency tree and pra
---

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# Test 2 · ★★★ · Olympiad: the euphemism detective ★★★

<!-- .ven lang=en -->
Our kid: "I've told you a million times, the cat's not dead, it's just been fixed!" How many times did he really say it, and what happened to the cat?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** I, kid, many times · **What happens:** tell, not be, fix, do, say, happen · **To what, where:** you, cat · **Speech:** someone speaks here

<!-- .vabout -->
This is test 2 · ★★★ of lesson 41 «Olympiad: the euphemism detective ★★★» 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/41-olympiad-euphemism-detective/#t2).

## The question {#question}

<!-- .note -->
*Sentence 1:* Our kid: "I've told you a million times, the cat's not dead, it's just been fixed!"

```conllu
# sent_id = question:euphemisms:41-olympiad-euphemism-detective:t2:1
# text = Our kid: "I've told you a million times, the cat's not dead, it's just been fixed!"
1	Our	our	PRON	PRP$	Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	kid	kid	NOUN	NN	Number=Sing	17	nsubj	_	SpaceAfter=No
3	:	:	PUNCT	:	_	7	punct	_	_
4	"	"	PUNCT	``	_	7	punct	_	SpaceAfter=No
5	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	7	nsubj	_	SpaceAfter=No
6	've	have	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	7	aux	_	_
7	told	tell	VERB	VBN	Tense=Past|VerbForm=Part	2	parataxis	_	_
8	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	7	iobj	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
10	million	million	NUM	CD	NumForm=Word|NumType=Card	11	nummod	_	_
11	times	time	NOUN	NNS	Number=Plur	7	obl:unmarked	_	SpaceAfter=No
12	,	,	PUNCT	,	_	2	punct	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	cat	cat	NOUN	NN	Number=Sing	17	nsubj	_	SpaceAfter=No
15	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	17	cop	_	_
16	not	not	PART	RB	Polarity=Neg	17	advmod	_	_
17	dead	dead	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
18	,	,	PUNCT	,	_	23	punct	_	_
19	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	23	nsubj:pass	_	SpaceAfter=No
20	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	23	aux	_	_
21	just	just	ADV	RB	_	23	advmod	_	_
22	been	be	AUX	VBN	Tense=Past|VerbForm=Part	23	aux:pass	_	_
23	fixed	fix	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	17	conj	_	SpaceAfter=No
24	!	!	PUNCT	.	_	17	punct	_	SpaceAfter=No
25	"	"	PUNCT	''	_	17	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **tell** *speech: assert* *in a quote* | present · perfect | I |  | you |  | time |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent you=Recipient |
| 2 | **not** **is** *in a quote* | present | Our kid |  |  |  |  | dead *property* | tree rules |
| 3 | **fix** *in a quote* | present · passive |  | cat |  |  |  |  | vn shake-22.3-2 «NP V NP together»: subject=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.

<!-- .note -->
*Sentence 2:* How many times did he really say it, and what happened to the cat?

```conllu
# sent_id = question:euphemisms:41-olympiad-euphemism-detective:t2:2
# text = How many times did he really say it, and what happened to the cat?
1	How	how	ADV	WRB	PronType=Int	2	advmod	_	_
2	many	many	ADJ	JJ	Degree=Pos	3	amod	_	_
3	times	time	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	did	do	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	7	nsubj	_	_
6	really	really	ADV	RB	_	7	advmod	_	_
7	say	say	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	ccomp	_	_
8	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	7	obj	_	SpaceAfter=No
9	,	,	PUNCT	,	_	12	punct	_	_
10	and	and	CCONJ	CC	_	12	cc	_	_
11	what	what	PRON	WP	PronType=Int	12	nsubj	_	_
12	happened	happen	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	conj	_	_
13	to	to	ADP	IN	_	15	case	_	_
14	the	the	DET	DT	Definite=Def|PronType=Art	15	det	_	_
15	cat	cat	NOUN	NN	Number=Sing	12	obl	_	SpaceAfter=No
16	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | past | many times |  |  |  |  |  | tree rules |
| 2 | **say** *speech: assert* | present | kid | cat |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent it=Topic |
| 3 | **happen** | past |  |  |  |  |  | to the cat | vn occur-48.3-1 «NP V»: agent=Theme |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
A million times; the cat was mended

```conllu
# sent_id = question:euphemisms:41-olympiad-euphemism-detective:t2:o1:1
# text = A million times; the cat was mended
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	million	million	NUM	CD	NumForm=Word|NumType=Card	3	nummod	_	_
3	times	time	NOUN	NNS	Number=Plur	8	nsubj:pass	_	SpaceAfter=No
4	;	;	PUNCT	,	_	3	punct	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	cat	cat	NOUN	NN	Number=Sing	8	nsubj:pass	_	_
7	was	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	8	aux:pass	_	_
8	mended	mend	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mend** | past · passive |  | million times |  |  |  |  | tree rules |

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

<!-- .ven lang=en -->
Many times; the cat was neutered

```conllu
# sent_id = question:euphemisms:41-olympiad-euphemism-detective:t2:o2:1
# text = Many times; the cat was neutered
1	Many	many	ADJ	JJ	Degree=Pos	2	amod	_	_
2	times	time	NOUN	NNS	Number=Plur	7	nsubj:pass	_	SpaceAfter=No
3	;	;	PUNCT	:	_	2	punct	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	cat	cat	NOUN	NN	Number=Sing	7	nsubj	_	_
6	was	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	7	aux:pass	_	_
7	neutered	neuter	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **neuter** | past · passive |  | Many times |  |  |  |  | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
Many times; the cat was put to sleep

```conllu
# sent_id = question:euphemisms:41-olympiad-euphemism-detective:t2:o3:1
# text = Many times; the cat was put to sleep
1	Many	many	ADJ	JJ	Degree=Pos	2	amod	_	_
2	times	time	NOUN	NNS	Number=Plur	7	nsubj:pass	_	SpaceAfter=No
3	;	;	PUNCT	:	_	2	punct	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	cat	cat	NOUN	NN	Number=Sing	7	nsubj:pass	_	_
6	was	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	7	aux:pass	_	_
7	put	put	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
8	to	to	PART	TO	_	9	mark	_	_
9	sleep	sleep	VERB	VB	VerbForm=Inf	7	advcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **put** | past · passive |  | Many times |  |  |  |  | vn invest-13.5.4-1 «NP V PP»: subject=Goal |
| 2 | **sleep** | to-infinitive |  |  |  |  |  |  | vn snooze-40.4-1 «NP V»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
A million times; the cat was neutered

```conllu
# sent_id = question:euphemisms:41-olympiad-euphemism-detective:t2:o4:1
# text = A million times; the cat was neutered
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	million	million	NUM	CD	NumForm=Word|NumType=Card	3	nummod	_	_
3	times	time	NOUN	NNS	Number=Plur	8	nsubj:pass	_	SpaceAfter=No
4	;	;	PUNCT	,	_	3	punct	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	cat	cat	NOUN	NN	Number=Sing	8	nsubj	_	_
7	was	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	8	aux:pass	_	_
8	neutered	neuter	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **neuter** | past · passive |  | million times |  |  |  |  | tree rules |

<!-- div src -->

**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: [Olympiad: the euphemism detective ★★★, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/41-olympiad-euphemism-detective/t1/)
- next →: [Olympiad: the euphemism detective ★★★, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/41-olympiad-euphemism-detective/t3/)
- ↑ back to [Olympiad: the euphemism detective ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/41-olympiad-euphemism-detective/)

