---
title: A film follows «one lion» for a whole year. What might really have h… — Documentaries vs cartoons: added sound… · tree and pragmatics
description: A film follows «one lion» for a whole year. What might really have happened? Test 8 · ★★★ of lesson 395 «Documentaries vs cartoons: added sounds, edited stories and what is real» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each optio
---

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# Test 8 · ★★★ · Documentaries vs cartoons: added sounds, edited stories an…

<!-- .ven lang=en -->
A film follows «one lion» for a whole year. What might really have happened?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** film · **What happens:** follow, happen · **To what, where:** one lion

<!-- .vabout -->
This is test 8 · ★★★ of lesson 395 «Documentaries vs cartoons: added sounds, edited stories and what is real» of the biology 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/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/#t8).

## The question {#question}

<!-- .note -->
*Sentence 1:* A film follows «one lion» for a whole year.

```conllu
# sent_id = question:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real:t8:1
# text = A film follows «one lion» for a whole year.
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	film	film	NOUN	NN	Number=Sing	3	nsubj	_	_
3	follows	follow	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	«	«	PUNCT	``	_	6	punct	_	SpaceAfter=No
5	one	one	NUM	CD	NumForm=Word|NumType=Card	6	nummod	_	_
6	lion	lion	NOUN	NN	Number=Sing	3	obj	_	SpaceAfter=No
7	»	»	PUNCT	''	_	6	punct	_	_
8	for	for	ADP	IN	_	11	case	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
10	whole	whole	ADJ	JJ	Degree=Pos	11	amod	_	_
11	year	year	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
12	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **follow** | present | a film | one lion |  |  | year |  | vn chase-51.6 «NP V NP»: agent=Agent lion=Theme |

<!-- .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 might really have happened?

```conllu
# sent_id = question:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real:t8:2
# text = What might really have happened?
1	What	what	PRON	WP	PronType=Int	5	nsubj	_	_
2	might	might	AUX	MD	VerbForm=Fin	5	aux	_	_
3	really	really	ADV	RB	_	5	advmod	_	_
4	have	have	AUX	VB	VerbForm=Inf	5	aux	_	_
5	happened	happen	VERB	VBN	Tense=Past|VerbForm=Part	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

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

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
One lion wore a camera for a whole year without a single break, even asleep

<!-- fold The tree, 15 words -->
```conllu
# sent_id = question:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real:t8:o1:1
# text = One lion wore a camera for a whole year without a single break, even asleep
1	One	one	NUM	CD	NumForm=Word|NumType=Card	2	nummod	_	_
2	lion	lion	NOUN	NN	Number=Sing	3	nsubj	_	_
3	wore	wear	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	camera	camera	NOUN	NN	Number=Sing	3	obj	_	_
6	for	for	ADP	IN	_	9	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	whole	whole	ADJ	JJ	Degree=Pos	9	amod	_	_
9	year	year	NOUN	NN	Number=Sing	3	obl	_	_
10	without	without	ADP	IN	_	13	case	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
12	single	single	ADJ	JJ	Degree=Pos	13	amod	_	_
13	break	break	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
14	,	,	PUNCT	,	_	16	punct	_	_
15	even	even	ADV	RB	_	16	advmod	_	_
16	asleep	asleep	ADJ	JJ	Degree=Pos	13	acl:relcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **wear** | past | One lion | a camera |  |  | year | without a single break | vn wipe\_manner-10.4.1-1 «NP V NP.source»: agent=Agent camera=Source |

### Option 2 · ← Mova's choice · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Shots of several similar lions may have been joined, and good films say so

<!-- fold The tree, 14 words -->
```conllu
# sent_id = question:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real:t8:o2:1
# text = Shots of several similar lions may have been joined, and good films say so
1	Shots	shot	NOUN	NNS	Number=Plur	9	nsubj:pass	_	_
2	of	of	ADP	IN	_	5	case	_	_
3	several	several	ADJ	JJ	Degree=Pos	5	amod	_	_
4	similar	similar	ADJ	JJ	Degree=Pos	5	amod	_	_
5	lions	lion	NOUN	NNS	Number=Plur	1	nmod	_	_
6	may	may	AUX	MD	VerbForm=Fin	9	aux	_	_
7	have	have	AUX	VB	VerbForm=Inf	9	aux	_	_
8	been	be	AUX	VBN	Tense=Past|VerbForm=Part	9	aux:pass	_	_
9	joined	join	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	SpaceAfter=No
10	,	,	PUNCT	,	_	14	punct	_	_
11	and	and	CCONJ	CC	_	14	cc	_	_
12	good	good	ADJ	JJ	Degree=Pos	13	amod	_	_
13	films	film	NOUN	NNS	Number=Plur	14	nsubj	_	_
14	say	say	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	9	conj	_	_
15	so	so	ADV	RB	_	14	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **join** | may · perfect · passive |  | Shots of several similar lions |  |  |  |  | vn mix-22.1-2-1 «NP V NP»: subject=Patient |
| 2 | **say** *speech: assert* | present | good films |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
The lion was painted on paper

```conllu
# sent_id = question:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real:t8:o3:1
# text = The lion was painted on paper
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	lion	lion	NOUN	NN	Number=Sing	4	nsubj:pass	_	_
3	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	aux:pass	_	_
4	painted	paint	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	on	on	ADP	IN	_	6	case	_	_
6	paper	paper	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **paint** | past · passive |  | the lion |  | paper |  |  | vn image\_impression-25.1 «NP V NP.theme PP.destination»: subject=Theme on paper=Destination |

### Option 4 {#o4}

<!-- .ven lang=en -->
The lion was a robot

```conllu
# sent_id = question:biology:395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real:t8:o4:1
# text = The lion was a robot
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	lion	lion	NOUN	NN	Number=Sing	5	nsubj	_	_
3	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	5	cop	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	robot	robot	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | past | the lion | a robot |  |  |  |  | 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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