---
title: In a cartoon a star actor finds a film using her face that she never… — In the news: tricked bots, real discov… · tree and pragmatics
description: In a cartoon a star actor finds a film using her face that she never made. Why did real actors worry about this? Test 5 · ★★ of lesson 23 «In the news: tricked bots, real discoveries, careful words» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question an
---

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# Test 5 · ★★ · In the news: tricked bots, real discoveries, careful words

<!-- .ven lang=en -->
In a cartoon a star actor finds a film using her face that she never made. Why did real actors worry about this?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** star actor, film, actor, real actors · **What happens:** find, use, not make, do, worry · **To what, where:** film, cartoon, face

<!-- .vabout -->
This is test 5 · ★★ of lesson 23 «In the news: tricked bots, real discoveries, careful words» 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/23-news-tricked-bots-discoveries/#t5).

## The question {#question}

<!-- .note -->
*Sentence 1:* In a cartoon a star actor finds a film using her face that she never made.

```conllu
# sent_id = question:ai:23-news-tricked-bots-discoveries:t5:1
# text = In a cartoon a star actor finds a film using her face that she never made.
1	In	in	ADP	IN	_	3	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	cartoon	cartoon	NOUN	NN	Number=Sing	7	obl	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
5	star	star	NOUN	NN	Number=Sing	6	compound	_	_
6	actor	actor	NOUN	NN	Number=Sing	7	nsubj	_	_
7	finds	find	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	film	film	NOUN	NN	Number=Sing	7	obj	_	_
10	using	use	VERB	VBG	VerbForm=Ger	7	xcomp	_	_
11	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	12	nmod:poss	_	_
12	face	face	NOUN	NN	Number=Sing	10	obj	_	_
13	that	that	SCONJ	IN	_	16	mark	_	_
14	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	16	nsubj	_	_
15	never	never	ADV	RB	PronType=Neg	16	advmod	_	_
16	made	make	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	10	advcl	_	SpaceAfter=No
17	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **find** | present | a star actor | a film |  | a cartoon |  |  | vn declare-29.4-1-1 «NP V NP ADJ»: agent=Agent film=Attribute clause=Theme |
| 2 | **use** | gerund | a film *not said here* | actor's face |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent face=Patient |
| 3 | **not** **make** | past | actor |  |  |  |  |  | vn build-26.1-1 «NP V NP»: agent=Agent |

<!-- .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:* Why did real actors worry about this?

```conllu
# sent_id = question:ai:23-news-tricked-bots-discoveries:t5:2
# text = Why did real actors worry about this?
1	Why	why	ADV	WRB	PronType=Int	2	advmod	_	_
2	did	do	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
3	real	real	ADJ	JJ	Degree=Pos	4	amod	_	_
4	actors	actor	NOUN	NNS	Number=Plur	5	nsubj	_	_
5	worry	worry	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
6	about	about	ADP	IN	_	7	case	_	_
7	this	this	PRON	DT	Number=Sing|PronType=Dem	5	obl	_	SpaceAfter=No
8	?	?	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | past |  |  |  |  |  |  | vn act-114-1 «NP V»: agent=Agent |
| 2 | **worry** | present | real actors |  |  |  |  | about this | vn care-88.1-1 «NP V PP.stimulus what S»: agent=Experiencer about this=Stimulus |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
They wanted to act alongside robots

```conllu
# sent_id = question:ai:23-news-tricked-bots-discoveries:t5:o1:1
# text = They wanted to act alongside robots
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	wanted	want	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	to	to	PART	TO	_	4	mark	_	_
4	act	act	VERB	VB	VerbForm=Inf	2	xcomp	_	_
5	alongside	alongside	ADP	IN	_	6	case	_	_
6	robots	robot	NOUN	NNS	Number=Plur	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | past | They |  |  |  |  |  | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme |
| 2 | **act** *not said to happen* | to-infinitive | They *not said here* |  |  |  |  | alongside robots | vn act-114-1-1 «NP V»: agent=Agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
They wanted much more money for each photo of their faces

```conllu
# sent_id = question:ai:23-news-tricked-bots-discoveries:t5:o2:1
# text = They wanted much more money for each photo of their faces
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	wanted	want	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	much	much	ADV	RB	_	4	advmod	_	_
4	more	more	ADJ	JJR	Degree=Cmp	5	amod	_	_
5	money	money	NOUN	NN	Number=Sing	2	obj	_	_
6	for	for	ADP	IN	_	8	case	_	_
7	each	each	DET	DT	PronType=Tot	8	det	_	_
8	photo	photo	NOUN	NN	Number=Sing	2	obl	_	_
9	of	of	ADP	IN	_	11	case	_	_
10	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	11	nmod:poss	_	_
11	faces	face	NOUN	NNS	Number=Plur	8	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | past | They | more money |  |  |  | for each photo of their faces | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot money=Theme |

### Option 3 · ← Mova's choice · ✓ the right answer {#o3}

<!-- .ven lang=en -->
They want control over their own face and voice

```conllu
# sent_id = question:ai:23-news-tricked-bots-discoveries:t5:o3:1
# text = They want control over their own face and voice
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	want	want	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	control	control	NOUN	NN	Number=Sing	2	obj	_	_
4	over	over	ADP	IN	_	7	case	_	_
5	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
6	own	own	ADJ	JJ	Degree=Pos	7	amod	_	_
7	face	face	NOUN	NN	Number=Sing	2	obl	_	_
8	and	and	CCONJ	CC	_	9	cc	_	_
9	voice	voice	NOUN	NN	Number=Sing	7	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | present | They | control |  | their own face and voice |  |  | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot control=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
They were afraid of cameras

```conllu
# sent_id = question:ai:23-news-tricked-bots-discoveries:t5:o4:1
# text = They were afraid of cameras
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	3	cop	_	_
3	afraid	afraid	ADJ	JJ	Degree=Pos	0	root	_	_
4	of	of	ADP	IN	_	5	case	_	_
5	cameras	camera	NOUN	NNS	Number=Plur	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | past | They |  |  |  |  | of cameras; afraid *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.

<!-- /div -->

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