---
title: Camera traps are boxes that take pictures or film when an animal pas… — How nature documentaries are made: hides, camera… · tree and pragmatics
description: Camera traps are boxes that take pictures or film when an animal passes in front of them; they can wait for months in places people rarely go, and they have filmed rare animals like snow leopards. Who acts: Camera traps, boxes, animal, animals. A sentence of the lesson «How nature documentaries are 
---

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# How nature documentaries are made: hides, camera traps, drones and years of waiting, sentence 9

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Camera traps are boxes that take pictures or film when an animal passes in front of them; they can wait for months in places people rarely go, and they have filmed rare animals like snow leopards.

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**Who acts:** Camera traps, boxes, animal, animals, people · **What happens:** be, take, pass, wait, go, film · **To what, where:** boxes, pictures, front, places, rare animals

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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 (Camera traps, boxes, animal, animals), 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:9
# text = Camera traps are boxes that take pictures or film when an animal passes in front of them; they can wait for months in places people rarely go, and they have filmed rare animals like snow leopards.
# 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	Camera	camera	NOUN	NN	Number=Sing	2	compound	_	_
2	traps	trap	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	boxes	box	NOUN	NNS	Number=Plur	0	root	_	_
5	that	that	PRON	WDT	PronType=Rel	6	nsubj	_	_
6	take	take	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	acl:relcl	_	_
7	pictures	picture	NOUN	NNS	Number=Plur	6	obj	_	_
8	or	or	CCONJ	CC	_	9	cc	_	_
9	film	film	NOUN	NN	Number=Sing	7	conj	_	_
10	when	when	SCONJ	WRB	_	13	mark	_	_
11	an	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
12	animal	animal	NOUN	NN	Number=Sing	13	nsubj	_	_
13	passes	pass	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	conj	_	_
14	in	in	ADP	IN	_	15	case	_	_
15	front	front	NOUN	NN	Number=Sing	13	obl	_	_
16	of	of	ADP	IN	_	17	case	_	_
17	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	15	nmod	_	_
18	;	;	PUNCT	,	_	21	punct	_	_
19	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	21	nsubj	_	_
20	can	can	AUX	MD	VerbForm=Fin	21	aux	_	_
21	wait	wait	VERB	VB	VerbForm=Inf	13	conj	_	_
22	for	for	ADP	IN	_	23	case	_	_
23	months	month	NOUN	NNS	Number=Plur	21	obl	_	_
24	in	in	ADP	IN	_	25	case	_	_
25	places	place	NOUN	NNS	Number=Plur	21	obl	_	_
26	people	people	NOUN	NNS	Number=Plur	28	nsubj	_	_
27	rarely	rarely	ADV	RB	_	28	advmod	_	_
28	go	go	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	25	acl:relcl	_	_
29	,	,	PUNCT	,	_	33	punct	_	_
30	and	and	CCONJ	CC	_	33	cc	_	_
31	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	33	nsubj	_	_
32	have	have	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	33	aux	_	_
33	filmed	film	VERB	VBN	Tense=Past|VerbForm=Part	21	conj	_	Agree=R5-strong|Haiku=6:conj
34	rare	rare	ADJ	JJ	Degree=Pos	35	amod	_	_
35	animals	animal	NOUN	NNS	Number=Plur	33	obj	_	_
36	like	like	ADP	IN	_	38	case	_	_
37	snow	snow	NOUN	NN	Number=Sing	38	compound	_	_
38	leopards	leopard	NOUN	NNS	Number=Plur	35	nmod	_	_
39	.	.	PUNCT	.	_	4	punct	_	_
```

## Pragmatics {#pragmatics}

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

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | Camera traps | boxes |  |  |  |  | tree rules |
| 2 | **take** | present | boxes | pictures or film |  |  |  |  | vn bring-11.3 «NP V NP»: agent=Agent picture=Theme |
| 3 | **pass** | present | a animal |  |  | front of traps |  |  | vn occur-48.3-1 «NP V PP»: agent=Theme in front=Location |
| 4 | **wait** | can | animals *= animal* |  |  | places | month |  | vn exist-47.1 «NP V PP.location»: agent=Theme in place=Location |
| 5 | **go** | present | people | places *not said here* |  |  |  | rarely *property* | vn meander-47.7 «PP.location V NP»: agent=Location place=Theme |
| 6 | **film** | present · perfect | people | rare animals |  |  |  | like snow leopards | vn transcribe-25.4 «NP V NP»: agent=Agent animal=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.

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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:9`.

**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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