---
title: ★★★ Oscar from Birmingham guesses "loads, mate" for silent final let… — Olympiad: mixed brain-teasers ★★★ · tree and pragmatics
description: ★★★ Oscar from Birmingham guesses "loads, mate" for silent final letters in "Les petits chats sont gris", then counts 5. Which words did he miss a second letter in? Test 6 · ★★★ of lesson 40 «Olympiad: mixed brain-teasers ★★★» of the French course of Mova's primary school, with the dependency tree a
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/french/40-olympiad-mixed-brain-teasers/t6/)

<!-- 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/) / [Olympiad: mixed brain-teasers ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/french/40-olympiad-mixed-brain-teasers/) / t6

# Test 6 · ★★★ · Olympiad: mixed brain-teasers ★★★

<!-- .ven lang=en -->
★★★ Oscar from Birmingham guesses "loads, mate" for silent final letters in "Les petits chats sont gris", then counts 5. Which words did he miss a second letter in?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** ★, words · **What happens:** guess, count, miss in · **To what, where:** loads, 5, second letter

<!-- .vabout -->
This is test 6 · ★★★ of lesson 40 «Olympiad: mixed brain-teasers ★★★» 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/40-olympiad-mixed-brain-teasers/#t6).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Oscar from Birmingham guesses "loads, mate" for silent final letters in "Les petits chats sont gris", then counts 5.

```conllu
# sent_id = question:french:40-olympiad-mixed-brain-teasers:t6:1
# text = ★★★ Oscar from Birmingham guesses "loads, mate" for silent final letters in "Les petits chats sont gris", then counts 5.
1	★	★	PROPN	NNP	Number=Sing	7	nsubj	_	SpaceAfter=No
2	★	★	X	FW	Foreign=Yes	1	dep	_	SpaceAfter=No
3	★	★	ADP	IN	_	4	case	_	_
4	Oscar	Oscar	PROPN	NNP	Number=Sing	1	nmod	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	Birmingham	Birmingham	PROPN	NNP	Number=Sing	1	nmod	_	_
7	guesses	guess	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	"	"	PUNCT	``	_	9	punct	_	SpaceAfter=No
9	loads	load	NOUN	NNS	Number=Plur	7	obj	_	SpaceAfter=No
10	,	,	PUNCT	,	_	11	punct	_	_
11	mate	mate	NOUN	NN	Number=Sing	9	conj	_	SpaceAfter=No
12	"	"	PUNCT	''	_	9	punct	_	_
13	for	for	ADP	IN	_	16	case	_	_
14	silent	silent	ADJ	JJ	Degree=Pos	16	amod	_	_
15	final	final	ADJ	JJ	Degree=Pos	16	amod	_	_
16	letters	letter	NOUN	NNS	Number=Plur	7	obl	_	_
17	in	in	ADP	IN	_	21	case	_	_
18	"	"	PUNCT	``	_	21	punct	_	SpaceAfter=No
19	Les	les	DET	DT	Definite=Def|PronType=Art	21	det	_	_
20	petits	petits	X	FW	Foreign=Yes	21	amod	_	_
21	chats	chat	NOUN	NNS	Number=Plur	16	nmod	_	_
22	sont	sont	X	FW	Foreign=Yes	23	compound	_	_
23	gris	gris	NOUN	NN	Number=Sing	21	conj	_	SpaceAfter=No
24	"	"	PUNCT	''	_	23	punct	_	SpaceAfter=No
25	,	,	PUNCT	,	_	27	punct	_	_
26	then	then	ADV	RB	PronType=Dem	27	advmod	_	_
27	counts	count	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	conj	_	_
28	5	5	NUM	CD	NumForm=Digit|NumType=Card	27	obj	_	SpaceAfter=No
29	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **guess** | present | ★ ★ Oscar from Birmingham | loads and mate |  |  |  | for silent final letters in les petits chats and sont gris | vn conjecture-29.5-1 «NP V NP»: agent=Agent load=Theme |
| 2 | **count** | present | ★ ★ Oscar from Birmingham *not said here* | 5 |  |  | then |  | vn multiply-108 «NP V NP»: agent=Agent 5=Theme |

<!-- .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 words did he miss a second letter in?

```conllu
# sent_id = question:french:40-olympiad-mixed-brain-teasers:t6:2
# text = Which words did he miss a second letter in?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	words	word	NOUN	NNS	Number=Plur	5	nsubj	_	_
3	did	do	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	5	aux	_	_
4	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	5	nsubj	_	_
5	miss	miss	VERB	VB	VerbForm=Inf	0	root	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	8	det	_	_
7	second	second	ADJ	JJ	Degree=Pos|NumForm=Word|NumType=Ord	8	amod	_	_
8	letter	letter	NOUN	NN	Number=Sing	5	obj	_	_
9	in	in	ADP	IN	_	5	compound:prt	_	SpaceAfter=No
10	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **miss in** | past · do-support | which words | a second letter |  |  |  |  | vn admire-31.2 «NP V NP»: agent=Experiencer letter=Stimulus |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
sont and gris, each with two

```conllu
# sent_id = question:french:40-olympiad-mixed-brain-teasers:t6:o1:1
# text = sont and gris, each with two
1	sont	sont	NOUN	NN	Number=Sing	0	root	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	gris	gris	NOUN	NN	Number=Sing	1	conj	_	SpaceAfter=No
4	,	,	PUNCT	,	_	5	punct	_	_
5	each	each	DET	DT	PronType=Tot	1	appos	_	_
6	with	with	ADP	IN	_	7	case	_	_
7	two	two	NUM	CD	NumForm=Word|NumType=Card	5	nmod	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
Only gris, with s and i

```conllu
# sent_id = question:french:40-olympiad-mixed-brain-teasers:t6:o2:1
# text = Only gris, with s and i
1	Only	only	ADV	RB	_	2	advmod	_	_
2	gris	gris	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	5	punct	_	_
4	with	with	ADP	IN	_	5	case	_	_
5	s	s	NOUN	NN	Number=Sing	2	conj	_	_
6	and	and	CCONJ	CC	_	7	cc	_	_
7	i	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	2	conj	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
les and gris, each with two

```conllu
# sent_id = question:french:40-olympiad-mixed-brain-teasers:t6:o3:1
# text = les and gris, each with two
1	les	le	NOUN	NNS	Number=Plur	0	root	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	gris	gris	NOUN	NN	Number=Sing	1	conj	_	SpaceAfter=No
4	,	,	PUNCT	,	_	5	punct	_	_
5	each	each	DET	DT	PronType=Tot	1	appos	_	_
6	with	with	ADP	IN	_	7	case	_	_
7	two	two	NUM	CD	NumForm=Word|NumType=Card	5	nmod	_	_
```

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

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

<!-- .ven lang=en -->
petits and chats

```conllu
# sent_id = question:french:40-olympiad-mixed-brain-teasers:t6:o4:1
# text = petits and chats
1	petits	petit	NOUN	NNS	Number=Plur	0	root	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	chats	chat	NOUN	NNS	Number=Plur	1	conj	_	_
```

<!-- .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: [Olympiad: mixed brain-teasers ★★★, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/french/40-olympiad-mixed-brain-teasers/t5/)
- next →: [Olympiad: mixed brain-teasers ★★★, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/french/40-olympiad-mixed-brain-teasers/t7/)
- ↑ back to [Olympiad: mixed brain-teasers ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/french/40-olympiad-mixed-brain-teasers/)

