---
title: ★★★ It's July in Paris and in Sydney on the same day. Which pair of… — Weather and seasons · tree and pragmatics
description: ★★★ It's July in Paris and in Sydney on the same day. Which pair of sentences fits best? Test 12 · ★ 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.
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/french/13-weather-and-seasons/t12/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [French](https://md.mova.elamur.ai/free/en/corpora/questions/french/) / [Weather and seasons](https://md.mova.elamur.ai/free/en/corpora/questions/french/13-weather-and-seasons/) / t12

# Test 12 · ★ · Weather and seasons

<!-- .ven lang=en -->
★★★ It's July in Paris and in Sydney on the same day. Which pair of sentences fits best?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** It, pair · **What happens:** be, fit · **To what, where:** Paris

<!-- .vabout -->
This is test 12 · ★ 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/#t12).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ It's July in Paris and in Sydney on the same day.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:1
# text = ★★★ It's July in Paris and in Sydney on the same day.
1	★	★	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	★	★	X	FW	Foreign=Yes	1	dep	_	SpaceAfter=No
3	★	★	ADP	IN	_	6	case	_	_
4	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	6	nsubj	_	SpaceAfter=No
5	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	July	July	PROPN	NNP	Number=Sing	1	nmod	_	_
7	in	in	ADP	IN	_	8	case	_	_
8	Paris	Paris	PROPN	NNP	Number=Sing	6	nmod	_	_
9	and	and	CCONJ	CC	_	11	cc	_	_
10	in	in	ADP	IN	_	11	case	_	_
11	Sydney	Sydney	PROPN	NNP	Number=Sing	8	conj	_	_
12	on	on	ADP	IN	_	15	case	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	15	det	_	_
14	same	same	ADJ	JJ	Degree=Pos	15	amod	_	_
15	day	day	NOUN	NN	Number=Sing	11	nmod	_	SpaceAfter=No
16	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | It |  |  | Paris and Sydney on the same day |  | ★ July | tree rules |

<!-- .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:* Which pair of sentences fits best?

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:2
# text = Which pair of sentences fits best?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	pair	pair	NOUN	NN	Number=Sing	5	nsubj	_	_
3	of	of	ADP	IN	_	4	case	_	_
4	sentences	sentence	NOUN	NNS	Number=Plur	2	nmod	_	_
5	fits	fit	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	best	well	ADV	RBS	Degree=Sup	5	advmod	_	SpaceAfter=No
7	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **fit** | present | which pair of sentences |  |  |  |  | well *property* | vn adjust-26.9 «NP V S\_ING»: agent=Agent |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Paris: il neige. Sydney: il neige.

<!-- .note -->
*Sentence 1:* Paris: il neige.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o1:1
# text = Paris: il neige.
1	Paris	Paris	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	:	:	PUNCT	:	_	4	punct	_	_
3	il	il	X	FW	_	4	compound	_	_
4	neige	neige	NOUN	NN	Number=Sing	1	appos	_	SpaceAfter=No
5	.	.	PUNCT	.	_	1	punct	_	_
```

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

<!-- .note -->
*Sentence 2:* Sydney: il neige.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o1:2
# text = Sydney: il neige.
1	Sydney	Sydney	PROPN	NNP	Number=Sing	4	compound	_	SpaceAfter=No
2	:	:	PUNCT	:	_	3	punct	_	_
3	il	il	X	FW	_	4	compound	_	_
4	neige	neige	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
5	.	.	PUNCT	.	_	4	punct	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
Paris: c'est l'hiver. Sydney: c'est l'été.

<!-- .note -->
*Sentence 1:* Paris: c'est l'hiver.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o2:1
# text = Paris: c'est l'hiver.
1	Paris	Paris	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	:	:	PUNCT	:	_	4	punct	_	_
3	c'est	c'est	X	FW	Foreign=Yes	4	compound	_	_
4	l'hiver	l'hiver	NOUN	NN	Number=Sing	1	appos	_	SpaceAfter=No
5	.	.	PUNCT	.	_	1	punct	_	_
```

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

<!-- .note -->
*Sentence 2:* Sydney: c'est l'été.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o2:2
# text = Sydney: c'est l'été.
1	Sydney	Sydney	PROPN	NNP	Number=Sing	4	nsubj	_	SpaceAfter=No
2	:	:	PUNCT	:	_	4	punct	_	_
3	c'est	c'est	X	FW	Foreign=Yes	4	compound	_	_
4	l'été	l'été	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
5	.	.	PUNCT	.	_	4	punct	_	_
```

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

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

<!-- .ven lang=en -->
Paris: il fait chaud. Sydney: il fait froid.

<!-- .note -->
*Sentence 1:* Paris: il fait chaud.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o3:1
# text = Paris: il fait chaud.
1	Paris	Paris	PROPN	NNP	Number=Sing	4	nsubj	_	SpaceAfter=No
2	:	:	PUNCT	:	_	3	punct	_	_
3	il	il	X	FW	Foreign=Yes	4	dep	_	_
4	fait	fait	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
5	chaud	chaud	NOUN	NN	Number=Sing	4	obj	_	SpaceAfter=No
6	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **fait** | infinitive | Paris | chaud |  |  |  |  | tree rules |

<!-- .note -->
*Sentence 2:* Sydney: il fait froid.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o3:2
# text = Sydney: il fait froid.
1	Sydney	Sydney	PROPN	NNP	Number=Sing	4	nsubj	_	SpaceAfter=No
2	:	:	PUNCT	:	_	3	punct	_	_
3	il	il	X	FW	Foreign=Yes	1	appos	_	_
4	fait	fait	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	froid	froid	NOUN	NN	Number=Sing	4	obj	_	SpaceAfter=No
6	.	.	PUNCT	.	_	4	punct	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Paris: il fait froid. Sydney: il fait chaud.

<!-- .note -->
*Sentence 1:* Paris: il fait froid.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o4:1
# text = Paris: il fait froid.
1	Paris	Paris	PROPN	NNP	Number=Sing	4	nsubj	_	SpaceAfter=No
2	:	:	PUNCT	:	_	3	punct	_	_
3	il	il	X	FW	Foreign=Yes	1	flat:foreign	_	_
4	fait	fait	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	froid	froid	NOUN	NN	Number=Sing	4	obj	_	SpaceAfter=No
6	.	.	PUNCT	.	_	4	punct	_	_
```

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

<!-- .note -->
*Sentence 2:* Sydney: il fait chaud.

```conllu
# sent_id = question:french:13-weather-and-seasons:t12:o4:2
# text = Sydney: il fait chaud.
1	Sydney	Sydney	PROPN	NNP	Number=Sing	4	nsubj	_	SpaceAfter=No
2	:	:	PUNCT	:	_	3	punct	_	_
3	il	il	X	FW	Foreign=Yes	4	dep	_	_
4	fait	fait	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
5	chaud	chaud	NOUN	NN	Number=Sing	4	obj	_	SpaceAfter=No
6	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **fait** | infinitive | Sydney | chaud |  |  |  |  | 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 -->

<!-- pn -->
- ← previous: [Weather and seasons, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/french/13-weather-and-seasons/t11/)
- next →: [Weather and seasons, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/french/13-weather-and-seasons/e1/)
- ↑ back to [Weather and seasons](https://md.mova.elamur.ai/free/en/corpora/questions/french/13-weather-and-seasons/)