---
title: "this forecast is useless, said sun and we got soaked" Which is fair? — Counting the AI in one ordinary day · tree and pragmatics
description: "this forecast is useless, said sun and we got soaked" Which is fair? Test 1 · ★ of lesson 19 «Counting the AI in one ordinary day» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Test 1 · ★ · Counting the AI in one ordinary day

<!-- .ven lang=en -->
"this forecast is useless, said sun and we got soaked" Which is fair?

<!-- .vintro -->
**Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **Who acts:** forecast · **What happens:** be, say, soak · **To what, where:** sun, we · **Speech:** someone speaks here

<!-- .vabout -->
This is test 1 · ★ of lesson 19 «Counting the AI in one ordinary day» 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/19-ai-in-one-ordinary-day/#t1).

## The question {#question}

```conllu
# sent_id = question:ai:19-ai-in-one-ordinary-day:t1:1
# text = "this forecast is useless, said sun and we got soaked" Which is fair?
1	"	"	PUNCT	``	_	5	punct	_	SpaceAfter=No
2	this	this	DET	DT	Number=Sing|PronType=Dem	3	det	_	_
3	forecast	forecast	NOUN	NN	Number=Sing	5	nsubj	_	_
4	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
5	useless	useless	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
6	,	,	PUNCT	,	_	7	punct	_	_
7	said	say	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	5	conj	_	_
8	sun	sun	NOUN	NN	Number=Sing	7	obj	_	_
9	and	and	CCONJ	CC	_	12	cc	_	_
10	we	we	PRON	PRP	Case=Nom|Number=Plur|Person=1|PronType=Prs	12	nsubj	_	_
11	got	get	AUX	VBD	Mood=Ind|Number=Plur|Person=1|Tense=Past|VerbForm=Fin	12	aux:pass	_	_
12	soaked	soak	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	7	conj	_	SpaceAfter=No
13	"	"	PUNCT	''	_	12	punct	_	_
14	Which	which	PRON	WDT	PronType=Rel	16	nsubj	_	_
15	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	16	cop	_	_
16	fair	fair	ADJ	JJ	Degree=Pos	12	conj	_	SpaceAfter=No
17	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** *in a quote* | present | this forecast |  |  |  |  | useless *property* | tree rules |
| 2 | **say** *speech: assert* *in a quote* | past | this forecast *not said here* | sun |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent sun=Topic |
| 3 | **soak** *in a quote* | past · passive |  | we |  |  |  |  | vn wipe\_manner-10.4.1 «NP V NP.source»: subject=Source |
| 4 | **is** | present |  |  |  |  |  | fair *property* | 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.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Forecasts are made up by bored people

```conllu
# sent_id = question:ai:19-ai-in-one-ordinary-day:t1:o1:1
# text = Forecasts are made up by bored people
1	Forecasts	forecast	NOUN	NNS	Number=Plur	3	nsubj:pass	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	aux:pass	_	_
3	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	up	up	ADP	RP	_	3	compound:prt	_	_
5	by	by	ADP	IN	_	7	case	_	_
6	bored	bored	ADJ	JJ	Degree=Pos	7	amod	_	_
7	people	people	NOUN	NNS	Number=Plur	3	obl:agent	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make up** | present · passive | bored people | Forecasts |  |  |  |  | vn comprise-107.2-1 «NP V NP»: agent=Theme subject=Pivot |

### Option 2 {#o2}

<!-- .ven lang=en -->
The forecast was right, the rain was fake

```conllu
# sent_id = question:ai:19-ai-in-one-ordinary-day:t1:o2:1
# text = The forecast was right, the rain was fake
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	forecast	forecast	NOUN	NN	Number=Sing	4	nsubj	_	_
3	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	cop	_	_
4	right	right	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	9	punct	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	rain	rain	NOUN	NN	Number=Sing	9	nsubj	_	_
8	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	9	cop	_	_
9	fake	fake	ADJ	JJ	Degree=Pos	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | past | the forecast |  |  |  |  | right *property* | tree rules |
| 2 | **is** | past | the rain |  |  |  |  | fake *property* | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
Forecasts are always right if you read them twice and slowly

```conllu
# sent_id = question:ai:19-ai-in-one-ordinary-day:t1:o3:1
# text = Forecasts are always right if you read them twice and slowly
1	Forecasts	forecast	NOUN	NNS	Number=Plur	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	always	always	ADV	RB	PronType=Tot	4	advmod	_	_
4	right	right	ADJ	JJ	Degree=Pos	0	root	_	_
5	if	if	SCONJ	IN	_	7	mark	_	_
6	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	7	nsubj	_	_
7	read	read	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	4	advcl	_	_
8	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	7	obj	_	_
9	twice	twice	ADV	RB	NumForm=Word|NumType=Mult	7	advmod	_	_
10	and	and	CCONJ	CC	_	11	cc	_	_
11	slowly	slowly	ADV	RB	_	9	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Forecasts |  |  |  |  | always, right *property* | tree rules |
| 2 | **read** *a condition, not said to happen* | present | you | Forecasts *= forecast* |  |  |  | twice *property* | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent they=Topic |

### Option 4 · ← Mova's choice · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Forecasts are good guesses; weather is hard to predict

```conllu
# sent_id = question:ai:19-ai-in-one-ordinary-day:t1:o4:1
# text = Forecasts are good guesses; weather is hard to predict
1	Forecasts	forecast	NOUN	NNS	Number=Plur	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	good	good	ADJ	JJ	Degree=Pos	4	amod	_	_
4	guesses	guess	NOUN	NNS	Number=Plur	0	root	_	SpaceAfter=No
5	;	;	PUNCT	:	_	8	punct	_	_
6	weather	weather	NOUN	NN	Number=Sing	8	nsubj	_	_
7	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
8	hard	hard	ADJ	JJ	Degree=Pos	4	conj	_	_
9	to	to	PART	TO	_	10	mark	_	_
10	predict	predict	VERB	VB	VerbForm=Inf	8	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | Forecasts | good guesses |  |  |  |  | tree rules |
| 2 | **is** | present | weather |  |  |  |  | hard *property* | tree rules |
| 3 | **predict** | to-infinitive | weather *not said here* |  |  |  |  |  | vn indicate-78 «NP V how S»: agent=Pivot |

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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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- ← previous: [Cars, doctors, scientists and translat…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/ai/18-cars-doctors-translators/e4/)
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