---
title: ★★★ Which question would a French person NOT answer with parce que? — Questions and simple sentences · tree and pragmatics
description: ★★★ Which question would a French person NOT answer with parce que? Test 4 · ★★★ of lesson 30 «Questions and simple sentences» 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/30-questions-and-simple-sentences/t4/)

<!-- 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/) / [Questions and simple sentences](https://md.mova.elamur.ai/free/en/corpora/questions/french/30-questions-and-simple-sentences/) / t4

# Test 4 · ★★★ · Questions and simple sentences

<!-- .ven lang=en -->
★★★ Which question would a French person NOT answer with parce que?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** ★ ★ ★ · **What happens:** not answer

<!-- .vabout -->
This is test 4 · ★★★ of lesson 30 «Questions and simple sentences» 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/30-questions-and-simple-sentences/#t4).

## The question {#question}

```conllu
# sent_id = question:french:30-questions-and-simple-sentences:t4:1
# text = ★★★ Which question would a French person NOT answer with parce que?
1	★	★	PROPN	NNP	Number=Sing	3	compound	_	SpaceAfter=No
2	★	★	NOUN	NN	Number=Sing	3	compound	_	SpaceAfter=No
3	★	★	NOUN	NN	Number=Sing	11	nsubj	_	_
4	Which	which	DET	WDT	PronType=Int	5	det	_	_
5	question	question	NOUN	NN	Number=Sing	3	nmod:unmarked	_	_
6	would	would	AUX	MD	VerbForm=Fin	11	aux	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	French	French	ADJ	JJ	Degree=Pos	9	amod	_	_
9	person	person	NOUN	NN	Number=Sing	11	nsubj	_	_
10	NOT	not	PART	RB	Polarity=Neg	11	advmod	_	_
11	answer	answer	VERB	VB	VerbForm=Inf	0	root	_	_
12	with	with	ADP	IN	_	14	case	_	_
13	parce	parce	NOUN	NN	Number=Sing	14	compound	_	_
14	que	que	NOUN	NN	Number=Sing	11	obl	_	SpaceAfter=No
15	?	?	PUNCT	.	_	11	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **answer** *speech: assert* | would | ★ ★ ★  which question |  |  |  |  | with parce que | vn reciprocate-112-1 «NP V»: 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 -->
Pourquoi tu aimes le foot ?

```conllu
# sent_id = question:french:30-questions-and-simple-sentences:t4:o1:1
# text = Pourquoi tu aimes le foot ?
1	Pourquoi	Pourquoi	X	FW	Foreign=Yes	3	nsubj	_	_
2	tu	tu	X	FW	Foreign=Yes	1	flat:foreign	_	_
3	aimes	aime	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	le	le	NOUN	NN	Number=Sing	5	compound	_	_
5	foot	foot	NOUN	NN	Number=Sing	3	obj	_	_
6	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **aime** | present | Pourquoi | le foot |  |  |  |  | tree rules |

### Option 2 {#o2}

<!-- .ven lang=en -->
Pourquoi tu es triste ?

```conllu
# sent_id = question:french:30-questions-and-simple-sentences:t4:o2:1
# text = Pourquoi tu es triste ?
1	Pourquoi	Pourquoi	X	FW	Foreign=Yes	4	nsubj	_	_
2	tu	tu	X	FW	Foreign=Yes	4	compound	_	_
3	es	es	X	FW	Foreign=Yes	4	compound	_	_
4	triste	triste	NOUN	NN	Number=Sing	0	root	_	_
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 -->
Combien de chats tu as ?

```conllu
# sent_id = question:french:30-questions-and-simple-sentences:t4:o3:1
# text = Combien de chats tu as ?
1	Combien	Combien	PROPN	NNP	Number=Sing	3	compound	_	_
2	de	de	X	FW	Foreign=Yes	1	flat:foreign	_	_
3	chats	chat	NOUN	NNS	Number=Plur	0	root	_	_
4	tu	tu	X	FW	Foreign=Yes	3	flat:foreign	_	_
5	as	as	X	FW	Foreign=Yes	3	conj	_	_
6	?	?	PUNCT	.	_	3	punct	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Pourquoi tu ris ?

```conllu
# sent_id = question:french:30-questions-and-simple-sentences:t4:o4:1
# text = Pourquoi tu ris ?
1	Pourquoi	Pourquoi	X	FW	Foreign=Yes	0	root	_	_
2	tu	tu	X	FW	Foreign=Yes	1	flat:foreign	_	_
3	ris	ris	X	FW	Foreign=Yes	1	flat:foreign	_	_
4	?	?	PUNCT	.	_	1	punct	_	_
```

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

<!-- 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: [Questions and simple sentences, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/french/30-questions-and-simple-sentences/t3/)
- next →: [Questions and simple sentences, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/french/30-questions-and-simple-sentences/t5/)
- ↑ back to [Questions and simple sentences](https://md.mova.elamur.ai/free/en/corpora/questions/french/30-questions-and-simple-sentences/)

