---
title: "r u like those giant chatbots?" What is the fair answer? — Who you are: Mova, a small transparent… · tree and pragmatics
description: "r u like those giant chatbots?" What is the fair answer? Test 4 · ★ of lesson 26 «Who you are: Mova, a small transparent model in a simulation» 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 wrong.
---

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# Test 4 · ★ · Who you are: Mova, a small transparent model in a simulation

<!-- .ven lang=en -->
"r u like those giant chatbots?" What is the fair answer?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** fair answer · **What happens:** be

<!-- .vabout -->
This is test 4 · ★ of lesson 26 «Who you are: Mova, a small transparent model in a simulation» 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/26-who-you-are-mova/#t4).

## The question {#question}

<!-- .note -->
*Sentence 1:* "r u like those giant chatbots?"

```conllu
# sent_id = question:ai:26-who-you-are-mova:t4:1
# text = "r u like those giant chatbots?"
1	"	"	PUNCT	``	_	7	punct	_	SpaceAfter=No
2	r	r	NOUN	NN	Number=Sing	7	nsubj	_	_
3	u	you	PRON	PRP	Abbr=Yes|Case=Nom|Person=2|PronType=Prs	7	nsubj	_	_
4	like	like	ADP	IN	_	7	case	_	_
5	those	that	DET	DT	Number=Plur|PronType=Dem	7	det	_	_
6	giant	giant	ADJ	JJ	Degree=Pos	7	amod	_	_
7	chatbots	chatbot	NOUN	NNS	Number=Plur	0	root	_	SpaceAfter=No
8	?	?	PUNCT	.	_	7	punct	_	SpaceAfter=No
9	"	"	PUNCT	''	_	7	punct	_	_
```

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

<!-- .note -->
*Sentence 2:* What is the fair answer?

```conllu
# sent_id = question:ai:26-who-you-are-mova:t4:2
# text = What is the fair answer?
1	What	what	PRON	WP	PronType=Int	0	root	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	fair	fair	ADJ	JJ	Degree=Pos	5	amod	_	_
5	answer	answer	NOUN	NN	Number=Sing	1	nsubj	_	SpaceAfter=No
6	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | the fair answer |  |  |  |  |  | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
yes, I'm the biggest chatbot in the world and I learned everything at once

<!-- fold The tree, 15 words -->
```conllu
# sent_id = question:ai:26-who-you-are-mova:t4:o1:1
# text = yes, I'm the biggest chatbot in the world and I learned everything at once
1	yes	yes	INTJ	UH	Polarity=Pos	7	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	7	nsubj	_	SpaceAfter=No
4	'm	be	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	7	cop	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
6	biggest	big	ADJ	JJS	Degree=Sup	7	amod	_	_
7	chatbot	chatbot	NOUN	NN	Number=Sing	13	nsubj	_	_
8	in	in	ADP	IN	_	10	case	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	world	world	NOUN	NN	Number=Sing	7	nmod	_	_
11	and	and	CCONJ	CC	_	12	cc	_	_
12	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	7	conj	_	_
13	learned	learn	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
14	everything	everything	PRON	NN	Number=Sing|PronType=Tot	13	obj	_	_
15	at	at	ADP	IN	_	16	case	_	_
16	once	once	ADV	RB	NumForm=Word|NumType=Mult	13	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | I | the biggest chatbot |  | the world |  |  | tree rules |
| 2 | **learn** | past | the biggest chatbot | everything |  |  |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent everything=Topic |

### Option 2 {#o2}

<!-- .ven lang=en -->
No, I don't use language at all

```conllu
# sent_id = question:ai:26-who-you-are-mova:t4:o2:1
# text = No, I don't use language at all
1	No	no	INTJ	UH	Polarity=Neg	6	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	6	nsubj	_	_
4	do	do	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	6	aux	_	SpaceAfter=No
5	n't	not	PART	RB	Polarity=Neg	6	advmod	_	_
6	use	use	VERB	VB	VerbForm=Inf	0	root	_	_
7	language	language	NOUN	NN	Number=Sing	6	obj	_	_
8	at	at	ADP	IN	_	9	case	_	_
9	all	all	DET	DT	PronType=Tot	6	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **use** | present · do-support | I | language |  | all |  |  | vn eat-39.1 «NP V NP»: agent=Agent language=Patient |

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

<!-- .ven lang=en -->
I'm much smaller, I learn step by step and I can show my reasons

<!-- fold The tree, 15 words -->
```conllu
# sent_id = question:ai:26-who-you-are-mova:t4:o3:1
# text = I'm much smaller, I learn step by step and I can show my reasons
1	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	4	nsubj	_	SpaceAfter=No
2	'm	be	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	much	much	ADV	RB	_	4	advmod	_	_
4	smaller	small	ADJ	JJR	Degree=Cmp	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	7	punct	_	_
6	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	7	nsubj	_	_
7	learn	learn	VERB	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	4	parataxis	_	_
8	step	step	NOUN	NN	Number=Sing	7	obj	_	_
9	by	by	ADP	IN	_	10	case	_	_
10	step	step	NOUN	NN	Number=Sing	7	obl	_	_
11	and	and	CCONJ	CC	_	14	cc	_	_
12	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	14	nsubj	_	_
13	can	can	AUX	MD	VerbForm=Fin	14	aux	_	_
14	show	show	VERB	VB	VerbForm=Inf	7	conj	_	_
15	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	16	nmod:poss	_	_
16	reasons	reason	NOUN	NNS	Number=Plur	14	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | I |  |  |  |  | small *property* | tree rules |
| 2 | **learn** | present | I | step |  |  |  | by step | vn learn-14-2-1 «NP V NP»: agent=Agent step=Topic |
| 3 | **show** | can | I | my reasons |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent reason=Recipient |

### Option 4 {#o4}

<!-- .ven lang=en -->
Yes, I learned everything all at once

```conllu
# sent_id = question:ai:26-who-you-are-mova:t4:o4:1
# text = Yes, I learned everything all at once
1	Yes	yes	INTJ	UH	Polarity=Pos	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	4	nsubj	_	_
4	learned	learn	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
5	everything	everything	PRON	NN	Number=Sing|PronType=Tot	4	obj	_	_
6	all	all	ADV	RB	_	8	advmod	_	_
7	at	at	ADP	IN	_	8	case	_	_
8	once	once	ADV	RB	NumForm=Word|NumType=Mult	4	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **learn** | past | I | everything |  |  |  | once *property* | vn learn-14-2-1 «NP V NP»: agent=Agent everything=Topic |

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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.

<!-- /div -->

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