---
title: "my mate's AI app keeps saying his husky's a wolf whenever it's in t… — Olympiad: thinking like a machine, Beb… · tree and pragmatics
description: "my mate's AI app keeps saying his husky's a wolf whenever it's in the snow lol". What would help fix the sorter most? Test 4 · ★★★ of lesson 31 «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question 
---

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# Test 4 · ★★★ · Olympiad: thinking like a machine, Bebras puzzles ★★★

<!-- .ven lang=en -->
"my mate's AI app keeps saying his husky's a wolf whenever it's in the snow lol". What would help fix the sorter most?

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**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** AI app, husky, it · **What happens:** keep, say, be, help, fix · **To what, where:** wolf, snow, sorter · **Speech:** someone speaks here

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This is test 4 · ★★★ of lesson 31 «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the AI 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/ai/31-olympiad-thinking-like-a-machine/#t4).

## The question {#question}

<!-- .note -->
*Sentence 1:* "my mate's AI app keeps saying his husky's a wolf whenever it's in the snow lol".

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t4:1
# text = "my mate's AI app keeps saying his husky's a wolf whenever it's in the snow lol".
1	"	"	PUNCT	``	_	7	punct	_	SpaceAfter=No
2	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	3	nmod:poss	_	_
3	mate	mate	NOUN	NN	Number=Sing	6	nmod:poss	_	SpaceAfter=No
4	's	's	PART	POS	_	3	case	_	_
5	AI	ai	NOUN	NN	Number=Sing	6	compound	_	_
6	app	app	NOUN	NN	Number=Sing	7	nsubj	_	_
7	keeps	keep	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	saying	say	VERB	VBG	VerbForm=Ger	7	xcomp	_	_
9	his	his	PRON	PRP$	Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs	10	nmod:poss	_	_
10	husky	husky	NOUN	NN	Number=Sing	13	nsubj	_	SpaceAfter=No
11	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	13	cop	_	_
12	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
13	wolf	wolf	NOUN	NN	Number=Sing	8	ccomp	_	_
14	whenever	whenever	ADV	WRB	PronType=Rel	8	ccomp	_	_
15	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	19	nsubj	_	SpaceAfter=No
16	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	19	cop	_	_
17	in	in	ADP	IN	_	19	case	_	_
18	the	the	DET	DT	Definite=Def|PronType=Art	19	det	_	_
19	snow	snow	NOUN	NN	Number=Sing	14	parataxis	_	_
20	lol	lol	INTJ	UH	_	19	discourse	_	SpaceAfter=No
21	"	"	PUNCT	''	_	19	punct	_	SpaceAfter=No
22	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **keep** *in a quote* | present | my mate's AI app |  |  |  |  |  | tree rules |
| 2 | **say** *speech: assert* *in a quote* | gerund | my mate's AI app *not said here* |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |
| 3 | **is a** *in a quote* | present | app's husky | a wolf |  |  |  |  | tree rules |
| 4 | **is** *in a quote* | present | it |  |  | the snow |  |  | 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:* What would help fix the sorter most?

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t4:2
# text = What would help fix the sorter most?
1	What	what	PRON	WP	PronType=Int	3	nsubj	_	_
2	would	would	AUX	MD	VerbForm=Fin	3	aux	_	_
3	help	help	VERB	VB	VerbForm=Inf	0	root	_	_
4	fix	fix	VERB	VB	VerbForm=Inf	3	xcomp	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	sorter	sorter	NOUN	NN	Number=Sing	4	obj	_	_
7	most	most	ADV	RBS	Degree=Sup	4	advmod	_	SpaceAfter=No
8	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **help** | would |  |  |  |  |  |  | vn help-72.1-1-1 «NP V NP S\_INF»: agent=Agent clause=Theme |
| 2 | **fix** | infinitive |  | the sorter |  |  |  |  | vn shake-22.3-2 «NP V NP together»: agent=Agent sorter=Patient |

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Training it on wolves without snow and huskies in snow

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t4:o1:1
# text = Training it on wolves without snow and huskies in snow
1	Training	train	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	on	on	ADP	IN	_	4	case	_	_
4	wolves	wolf	NOUN	NNS	Number=Plur	1	obl	_	_
5	without	without	ADP	IN	_	6	case	_	_
6	snow	snow	NOUN	NN	Number=Sing	1	obl	_	_
7	and	and	CCONJ	CC	_	8	cc	_	_
8	huskies	husky	NOUN	NNS	Number=Plur	6	conj	_	_
9	in	in	ADP	IN	_	10	case	_	_
10	snow	snow	NOUN	NN	Number=Sing	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **train** | gerund |  | it |  | wolves |  | without snow and huskies; in snow | vn hire-13.5.3 «NP V NP»: agent=Agent it=Theme |

### Option 2 {#o2}

<!-- .ven lang=en -->
Turning the brightness of every photo right up

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t4:o2:1
# text = Turning the brightness of every photo right up
1	Turning	turn	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	brightness	brightness	NOUN	NN	Number=Sing	1	obj	_	_
4	of	of	ADP	IN	_	6	case	_	_
5	every	every	DET	DT	PronType=Tot	6	det	_	_
6	photo	photo	NOUN	NN	Number=Sing	3	nmod	_	_
7	right	right	ADV	RB	_	8	advmod	_	_
8	up	up	ADV	RB	_	1	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **turn** | gerund |  | the brightness of every photo |  |  |  |  | vn roll-51.3.1 «NP V NP.theme»: agent=Agent brightness=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
Showing it lots more wolves standing in the snow

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t4:o3:1
# text = Showing it lots more wolves standing in the snow
1	Showing	show	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	lots	lot	NOUN	NNS	Number=Plur	1	obj	_	_
4	more	more	ADJ	JJR	Degree=Cmp	5	amod	_	_
5	wolves	wolf	NOUN	NNS	Number=Plur	3	conj	_	_
6	standing	stand	VERB	VBG	VerbForm=Ger	5	acl	_	_
7	in	in	ADP	IN	_	9	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	snow	snow	NOUN	NN	Number=Sing	6	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | gerund |  | it |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP-Dative NP»: agent=Agent it=Recipient lot=Topic |
| 2 | **stand** | gerund | more wolves *not said here* |  |  | the snow |  |  | vn assuming\_position-50 «NP V PP.location»: agent=Agent in snow=Location |

### Option 4 {#o4}

<!-- .ven lang=en -->
Telling it once, very firmly, that it's wrong

```conllu
# sent_id = question:ai:31-olympiad-thinking-like-a-machine:t4:o4:1
# text = Telling it once, very firmly, that it's wrong
1	Telling	tell	VERB	VBG	VerbForm=Ger	11	csubj	_	_
2	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	once	once	ADV	RB	NumForm=Word|NumType=Mult	1	advmod	_	SpaceAfter=No
4	,	,	PUNCT	,	_	6	punct	_	_
5	very	very	ADV	RB	_	6	advmod	_	_
6	firmly	firmly	ADV	RB	_	1	advmod	_	SpaceAfter=No
7	,	,	PUNCT	,	_	11	punct	_	_
8	that	that	SCONJ	IN	_	11	mark	_	_
9	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	11	nsubj	_	SpaceAfter=No
10	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	11	cop	_	_
11	wrong	wrong	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **tell** *speech: assert* | gerund |  |  | it |  |  | firmly, once *property* | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent it=Recipient |
| 2 | **is** | present | it |  |  |  |  | wrong *property* | 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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