---
title: Hannah says, "A dog's weather? That's mental." ("Mental" means crazy… — Weather and seasons · tree and pragmatics
description: Hannah says, "A dog's weather? That's mental." ("Mental" means crazy.) Which English saying is closest? Test 10 · ★ of lesson 13 «Weather and seasons» of the French course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong.
---

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# Test 10 · ★ · Weather and seasons

<!-- .ven lang=en -->
Hannah says, "A dog's weather? That's mental." ("Mental" means crazy.) Which English saying is closest?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Hannah, dog, That, Mental · **What happens:** say, weather, be, mean · **Speech:** someone speaks here

<!-- .vabout -->
This is test 10 · ★ of lesson 13 «Weather and seasons» of the French 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/french/13-weather-and-seasons/#t10).

## The question {#question}

<!-- .note -->
*Sentence 1:* Hannah says, "A dog's weather?

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:1
# text = Hannah says, "A dog's weather?
1	Hannah	Hannah	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	8	punct	_	_
4	"	"	PUNCT	``	_	8	punct	_	SpaceAfter=No
5	A	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	dog	dog	NOUN	NN	Number=Sing	8	nmod:poss	_	SpaceAfter=No
7	's	's	PART	POS	_	6	case	_	_
8	weather	weather	NOUN	NN	Number=Sing	2	ccomp	_	SpaceAfter=No
9	?	?	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Hannah |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |
| 2 | **weather** *in a quote* |  | a dog |  |  |  |  |  | nom weather «phenomenon transitive»: poss=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.

<!-- .note -->
*Sentence 2:* That's mental."

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:2
# text = That's mental."
1	That	that	PRON	DT	Number=Sing|PronType=Dem	3	nsubj	_	SpaceAfter=No
2	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	mental	mental	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
4	.	.	PUNCT	.	_	3	punct	_	SpaceAfter=No
5	"	"	PUNCT	''	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | That |  |  |  |  | mental *property* | tree rules |

<!-- .note -->
*Sentence 3:* ("Mental" means crazy.)

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:3
# text = ("Mental" means crazy.)
1	(	(	PUNCT	-LRB-	_	5	punct	_	SpaceAfter=No
2	"	"	PUNCT	``	_	3	punct	_	SpaceAfter=No
3	Mental	mental	ADJ	JJ	Degree=Pos	5	nsubj	_	SpaceAfter=No
4	"	"	PUNCT	''	_	3	punct	_	_
5	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	crazy	crazy	ADJ	JJ	Degree=Pos	5	xcomp	_	SpaceAfter=No
7	.	.	PUNCT	.	_	5	punct	_	SpaceAfter=No
8	)	)	PUNCT	-RRB-	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | Mental |  |  |  |  | crazy *property* | vn intend-61.2-1 «NP V S»: agent=Agent |

<!-- .note -->
*Sentence 4:* Which English saying is closest?

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:4
# text = Which English saying is closest?
1	Which	which	PRON	WDT	PronType=Rel	5	nsubj	_	_
2	English	English	ADJ	JJ	Degree=Pos	3	amod	_	_
3	saying	saying	NOUN	NN	Number=Sing	5	nsubj	_	_
4	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
5	closest	close	ADJ	JJS	Degree=Sup	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present |  |  |  |  |  | close *property* | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
it's a dog's life

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:o1:1
# text = it's a dog's life
1	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	6	nsubj	_	SpaceAfter=No
2	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	dog	dog	NOUN	NN	Number=Sing	6	nmod:poss	_	SpaceAfter=No
5	's	's	PART	POS	_	4	case	_	_
6	life	life	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | it | a dog's life |  |  |  |  | tree rules |

### Option 2 {#o2}

<!-- .ven lang=en -->
let sleeping dogs lie

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:o2:1
# text = let sleeping dogs lie
1	let	let	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	sleeping	sleep	VERB	VBG	Tense=Pres|VerbForm=Part	3	amod	_	_
3	dogs	dog	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	lie	lie	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	parataxis	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **let** | imperative | you *not said here* |  |  |  |  |  | vn give-13.1-1 «NP V PP.recipient»: agent=Agent |
| 2 | **sleep** | gerund |  |  |  |  |  |  | vn snooze-40.4-1 «NP V»: agent=Agent |
| 3 | **lie** | present | sleeping dogs |  |  |  |  |  | vn assuming\_position-50 «NP V»: agent=Agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
every dog has its day

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:o3:1
# text = every dog has its day
1	every	every	DET	DT	PronType=Tot	2	det	_	_
2	dog	dog	NOUN	NN	Number=Sing	3	nsubj	_	_
3	has	have	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	5	nmod:poss	_	_
5	day	day	NOUN	NN	Number=Sing	3	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **have** | present | every dog |  |  |  | day |  | vn birth-28.2-1 «NP V NP»: agent=Agent |

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

<!-- .ven lang=en -->
raining cats and dogs

```conllu
# sent_id = question:french:13-weather-and-seasons:t10:o4:1
# text = raining cats and dogs
1	raining	rain	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	cats	cat	NOUN	NNS	Number=Plur	1	obj	_	_
3	and	and	CCONJ	CC	_	4	cc	_	_
4	dogs	dog	NOUN	NNS	Number=Plur	2	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **rain** | gerund |  | cats and dogs |  |  |  |  | tree rules |

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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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