---
title: A normal film shows about 25 pictures every second, while high-speed… — How nature documentaries are made: hides, camera… · tree and pragmatics
description: A normal film shows about 25 pictures every second, while high-speed cameras film thousands a second, so one fast second can last for minutes when played back. Who acts: normal film, speed cameras, one fast second. A sentence of the lesson «How nature documentaries are made: hides, camera traps, dro
---

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# How nature documentaries are made: hides, camera traps, drones and years of waiting, sentence 10

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A normal film shows about 25 pictures every second, while high-speed cameras film thousands a second, so one fast second can last for minutes when played back.

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**Who acts:** normal film, speed cameras, one fast second · **What happens:** show, film, last, play back · **To what, where:** 25 pictures, thousands

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This is a sentence of the lesson «How nature documentaries are made: hides, camera traps, drones and years of waiting» of the biology course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (normal film, speed cameras, one fast second), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson:10
# text = A normal film shows about 25 pictures every second, while high-speed cameras film thousands a second, so one fast second can last for minutes when played back.
# source = school lesson (ours)
# course = biology
# lesson = 394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	normal	normal	ADJ	JJ	Degree=Pos	3	amod	_	_
3	film	film	NOUN	NN	Number=Sing	4	nsubj	_	_
4	shows	show	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	about	about	ADV	RB	_	6	advmod	_	_
6	25	25	NUM	CD	NumForm=Digit|NumType=Card	7	nummod	_	_
7	pictures	picture	NOUN	NNS	Number=Plur	4	obj	_	_
8	every	every	DET	DT	PronType=Tot	9	det	_	_
9	second	second	NOUN	NN	Number=Sing	4	obl:unmarked	_	_
10	,	,	PUNCT	,	_	16	punct	_	_
11	while	while	SCONJ	IN	_	16	mark	_	_
12	high	high	ADJ	JJ	Degree=Pos	14	amod	_	_
13	-	-	PUNCT	HYPH	_	12	punct	_	_
14	speed	speed	NOUN	NN	Number=Sing	15	compound	_	_
15	cameras	camera	NOUN	NNS	Number=Plur	16	nsubj	_	_
16	film	film	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	advcl	_	_
17	thousands	thousand	NOUN	NNS	Number=Plur	16	obj	_	_
18	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
19	second	second	NOUN	NN	Number=Sing	17	nmod	_	Agree=R5-strong|Haiku=16:obl:unmarked
20	,	,	PUNCT	,	_	23	punct	_	_
21	so	so	ADV	RB	_	26	advmod	_	_
22	one	one	NUM	CD	NumForm=Word|NumType=Card	24	nummod	_	_
23	fast	fast	ADJ	JJ	Degree=Pos	24	amod	_	_
24	second	second	NOUN	NN	Number=Sing	26	nsubj	_	_
25	can	can	AUX	MD	VerbForm=Fin	26	aux	_	_
26	last	last	VERB	VB	VerbForm=Inf	4	parataxis	_	_
27	for	for	ADP	IN	_	28	case	_	_
28	minutes	minute	NOUN	NNS	Number=Plur	26	obl	_	_
29	when	when	ADV	WRB	PronType=Int	30	advmod	_	_
30	played	play	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	26	advcl	_	_
31	back	back	ADV	RB	_	30	advmod	_	_
32	.	.	PUNCT	.	_	4	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | present | a normal film | 25 pictures |  |  | second |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent picture=Recipient |
| 2 | **film** | present | speed cameras | thousands  a second |  |  |  |  | vn transcribe-25.4 «NP V NP»: agent=Agent thousand=Theme |
| 3 | **last** | can | one fast second |  |  |  | minute |  | vn cost-54.2 «NP V NP.value»: agent=Theme |
| 4 | **play back** | participle | one fast second *not said here* |  |  |  |  |  | vn performance-26.7-1 «NP V»: 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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson:10`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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- ← previous: [How nature documentaries are made: hid…, 9](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/9/)
- next →: [How nature documentaries are made: hid…, 12](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/12/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/)

