---
title: The bot writes a fact about a famous scientist, but mixes in a footb… — Asking well, being polite, knowing whe… · tree and pragmatics
description: The bot writes a fact about a famous scientist, but mixes in a footballer with the same surname. What happened? Test 9 · ★ of lesson 8 «Asking well, being polite, knowing when to stop» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each opti
---

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# Test 9 · ★ · Asking well, being polite, knowing when to stop

<!-- .ven lang=en -->
The bot writes a fact about a famous scientist, but mixes in a footballer with the same surname. What happened?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 1 · wrong ✗ · **Who acts:** bot · **What happens:** write, mix, happen · **To what, where:** fact, footballer

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This is test 9 · ★ of lesson 8 «Asking well, being polite, knowing when to stop» 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/8-asking-well-and-knowing-when-to-stop/#t9).

## The question {#question}

<!-- .note -->
*Sentence 1:* The bot writes a fact about a famous scientist, but mixes in a footballer with the same surname.

```conllu
# sent_id = question:ai:8-asking-well-and-knowing-when-to-stop:t9:1
# text = The bot writes a fact about a famous scientist, but mixes in a footballer with the same surname.
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	bot	bot	NOUN	NN	Number=Sing	3	nsubj	_	_
3	writes	write	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	fact	fact	NOUN	NN	Number=Sing	3	obj	_	_
6	about	about	ADP	IN	_	9	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	famous	famous	ADJ	JJ	Degree=Pos	9	amod	_	_
9	scientist	scientist	NOUN	NN	Number=Sing	5	nmod	_	SpaceAfter=No
10	,	,	PUNCT	,	_	12	punct	_	_
11	but	but	CCONJ	CC	_	12	cc	_	_
12	mixes	mix	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
13	in	in	ADP	IN	_	15	case	_	_
14	a	a	DET	DT	Definite=Ind|PronType=Art	15	det	_	_
15	footballer	footballer	NOUN	NN	Number=Sing	12	obl	_	_
16	with	with	ADP	IN	_	19	case	_	_
17	the	the	DET	DT	Definite=Def|PronType=Art	19	det	_	_
18	same	same	ADJ	JJ	Degree=Pos	19	amod	_	_
19	surname	surname	NOUN	NN	Number=Sing	12	obl	_	SpaceAfter=No
20	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **write** | present | the bot | a fact |  |  |  | about a famous scientist | vn transfer\_mesg-37.1.1-1-1 «NP V NP S\_ING»: agent=Agent fact=Recipient about scientist=Topic |
| 2 | **mix** | present | the bot *not said here* |  |  | a footballer |  | with the same surname | vn mix-22.1-1-1 «NP V PP.co-patient»: agent=Patient with surname=Co-Patient |

<!-- .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 happened?

```conllu
# sent_id = question:ai:8-asking-well-and-knowing-when-to-stop:t9:2
# text = What happened?
1	What	what	PRON	WP	PronType=Int	2	nsubj	_	_
2	happened	happen	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	SpaceAfter=No
3	?	?	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **happen** | past |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |

## The options {#options}

### Option 1 · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Similar names blended in its patterns

```conllu
# sent_id = question:ai:8-asking-well-and-knowing-when-to-stop:t9:o1:1
# text = Similar names blended in its patterns
1	Similar	similar	ADJ	JJ	Degree=Pos	2	amod	_	_
2	names	name	NOUN	NNS	Number=Plur	0	root	_	_
3	blended	blend	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	acl	_	_
4	in	in	ADP	IN	_	6	case	_	_
5	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	6	nmod:poss	_	_
6	patterns	pattern	NOUN	NNS	Number=Plur	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **blend** | participle |  | Similar names *not said here* |  | its patterns |  |  | vn mix-22.1-1-1 «NP V»: agent=Patient |
| 2 | **pattern** |  | its *= it* |  |  |  |  |  | nom pattern «cognition intransitive»: poss=agent |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
The footballer invented science

```conllu
# sent_id = question:ai:8-asking-well-and-knowing-when-to-stop:t9:o2:1
# text = The footballer invented science
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	footballer	footballer	NOUN	NN	Number=Sing	3	nsubj	_	_
3	invented	invent	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	science	science	NOUN	NN	Number=Sing	3	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **invent** | past | the footballer | science |  |  |  |  | vn create-26.4-1 «NP V NP»: agent=Agent science=Result |

### Option 3 {#o3}

<!-- .ven lang=en -->
The scientist also played football for a famous team

```conllu
# sent_id = question:ai:8-asking-well-and-knowing-when-to-stop:t9:o3:1
# text = The scientist also played football for a famous team
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	scientist	scientist	NOUN	NN	Number=Sing	4	nsubj	_	_
3	also	also	ADV	RB	_	4	advmod	_	_
4	played	play	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	football	football	NOUN	NN	Number=Sing	4	obj	_	_
6	for	for	ADP	IN	_	9	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	famous	famous	ADJ	JJ	Degree=Pos	9	amod	_	_
9	team	team	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **play** | past | the scientist | football |  |  |  | for a famous team | vn use-105.1 «NP V NP PP.predicate»: agent=Agent football=Theme for team=Eventuality |

### Option 4 {#o4}

<!-- .ven lang=en -->
The bot is joking on purpose

```conllu
# sent_id = question:ai:8-asking-well-and-knowing-when-to-stop:t9:o4:1
# text = The bot is joking on purpose
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	bot	bot	NOUN	NN	Number=Sing	4	nsubj	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux	_	_
4	joking	joke	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
5	on	on	ADP	IN	_	6	case	_	_
6	purpose	purpose	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **joke** *speech: other* | present · progressive | the bot |  |  | purpose |  |  | vn chit\_chat-37.6 «NP V»: agent=Agent |

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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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