---
title: Why might a company's image generator get history wrong even though… — In the news: invented court cases and… · tree and pragmatics
description: Why might a company's image generator get history wrong even though history is clear? Test 8 · ★ of lesson 20 «In the news: invented court cases and an airline's chatbot» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's cho
---

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# Test 8 · ★ · In the news: invented court cases and an airline's chatbot

<!-- .ven lang=en -->
Why might a company's image generator get history wrong even though history is clear?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** image generator, history · **What happens:** get, be · **To what, where:** history

<!-- .vabout -->
This is test 8 · ★ of lesson 20 «In the news: invented court cases and an airline's chatbot» 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/20-news-court-cases-airline/#t8).

## The question {#question}

```conllu
# sent_id = question:ai:20-news-court-cases-airline:t8:1
# text = Why might a company's image generator get history wrong even though history is clear?
1	Why	why	ADV	WRB	PronType=Int	8	advmod	_	_
2	might	might	AUX	MD	VerbForm=Fin	8	aux	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	company	company	NOUN	NN	Number=Sing	7	nmod:poss	_	SpaceAfter=No
5	's	's	PART	POS	_	4	case	_	_
6	image	image	NOUN	NN	Number=Sing	7	compound	_	_
7	generator	generator	NOUN	NN	Number=Sing	8	nsubj	_	_
8	get	get	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	15	advcl	_	_
9	history	history	NOUN	NN	Number=Sing	8	obj	_	_
10	wrong	wrong	ADJ	JJ	Degree=Pos	9	amod	_	_
11	even	even	ADV	RB	_	15	advmod	_	_
12	though	though	SCONJ	IN	_	15	mark	_	_
13	history	history	NOUN	NN	Number=Sing	15	nsubj	_	_
14	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	cop	_	_
15	clear	clear	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
16	?	?	PUNCT	.	_	15	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **get** | might | a company's image generator | history |  |  |  |  | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer history=Stimulus |
| 2 | **is** | present | history |  |  |  |  | clear *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 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
Its makers' rules were applied even where they did not fit

```conllu
# sent_id = question:ai:20-news-court-cases-airline:t8:o1:1
# text = Its makers' rules were applied even where they did not fit
1	Its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	makers	maker	NOUN	NNS	Number=Plur	4	nmod:poss	_	SpaceAfter=No
3	'	's	PART	POS	_	2	case	_	_
4	rules	rule	NOUN	NNS	Number=Plur	6	nsubj:pass	_	_
5	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	6	aux:pass	_	_
6	applied	apply	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
7	even	even	ADV	RB	_	12	advmod	_	_
8	where	where	ADV	WRB	PronType=Rel	12	advmod	_	_
9	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	12	nsubj	_	_
10	did	do	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	12	aux	_	_
11	not	not	PART	RB	Polarity=Neg	12	advmod	_	_
12	fit	fit	VERB	VB	VerbForm=Inf	6	advcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **apply** | past · passive |  | Its makers's rules |  |  |  |  | vn use-105.1 «NP V NP»: subject=Theme |
| 2 | **not** **fit** | past · do-support | rules *= rule* |  |  |  |  |  | vn adjust-26.9 «NP V S\_ING»: agent=Agent |
| 3 | **rule** |  | Its makers |  |  |  |  |  | nom rule «cognition intransitive»: poss=agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
It deliberately wanted to fool the children who used it for homework

```conllu
# sent_id = question:ai:20-news-court-cases-airline:t8:o2:1
# text = It deliberately wanted to fool the children who used it for homework
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	deliberately	deliberately	ADV	RB	_	3	advmod	_	_
3	wanted	want	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	to	to	PART	TO	_	5	mark	_	_
5	fool	fool	VERB	VB	VerbForm=Inf	3	xcomp	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	children	child	NOUN	NNS	Number=Plur	5	obj	_	_
8	who	who	PRON	WP	PronType=Rel	9	nsubj	_	_
9	used	use	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	7	acl:relcl	_	_
10	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	9	obj	_	_
11	for	for	ADP	IN	_	12	case	_	_
12	homework	homework	NOUN	NN	Number=Sing	9	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | past | It |  |  |  |  | deliberately *property* | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme |
| 2 | **fool** *not said to happen* | to-infinitive |  | the children |  |  |  |  | vn trick-59.2 «NP V NP»: agent=Agent child=Patient |
| 3 | **use** | past | the children | it |  |  |  | for homework | vn use-105.1 «NP V NP PP.predicate»: agent=Agent it=Theme for homework=Eventuality |

### Option 3 {#o3}

<!-- .ven lang=en -->
History books disagree about everything

```conllu
# sent_id = question:ai:20-news-court-cases-airline:t8:o3:1
# text = History books disagree about everything
1	History	history	NOUN	NN	Number=Sing	2	compound	_	_
2	books	book	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	disagree	disagree	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	about	about	ADP	IN	_	5	case	_	_
5	everything	everything	PRON	NN	Number=Sing|PronType=Tot	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **disagree** | present | History books |  |  |  |  | about everything | vn correspond-36.1 «NP V PP.theme S»: agent=Agent about everything=Topic |

### Option 4 {#o4}

<!-- .ven lang=en -->
It was trained only on cartoons

```conllu
# sent_id = question:ai:20-news-court-cases-airline:t8:o4:1
# text = It was trained only on cartoons
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj:pass	_	_
2	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	3	aux:pass	_	_
3	trained	train	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	only	only	ADV	RB	_	6	advmod	_	_
5	on	on	ADP	IN	_	6	case	_	_
6	cartoons	cartoon	NOUN	NNS	Number=Plur	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **train** | past · passive |  | It |  | cartoons |  |  | vn hire-13.5.3 «NP V NP»: subject=Theme |

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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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