---
title: Most extinctions today are caused by people, by cutting down homes,… — Endangered animals and extinction · tree and pragmatics
description: Most extinctions today are caused by people, by cutting down homes, hunting, bringing in rats and diseases, and dropping plastic; the good news is that the same people can protect animals, and tigers in India and Nepal are already increasing. Who acts: people, same people, tigers. A sentence of the 
---

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# Endangered animals and extinction, sentence 2

<!-- .ven lang=en -->
Most extinctions today are caused by people, by cutting down homes, hunting, bringing in rats and diseases, and dropping plastic; the good news is that the same people can protect animals, and tigers in India and Nepal are already increasing.

<!-- .vintro -->
**Who acts:** people, same people, tigers · **What happens:** cause, cut down, hunt, bring, drop, be · **To what, where:** Most extinctions, homes, rats, plastic, good news, animals

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This is a sentence of the lesson «Endangered animals and extinction» 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 (people, same people, tigers), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:077-endangered-animals-and-extinction.lesson:2
# text = Most extinctions today are caused by people, by cutting down homes, hunting, bringing in rats and diseases, and dropping plastic; the good news is that the same people can protect animals, and tigers in India and Nepal are already increasing.
# source = school lesson (ours)
# course = biology
# lesson = 077-endangered-animals-and-extinction.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): R3-conj-first ×2, R6-punct-agree ×1
1	Most	most	ADJ	JJS	Degree=Sup	2	amod	_	_
2	extinctions	extinction	NOUN	NNS	Number=Plur	5	nsubj	_	_
3	today	today	NOUN	NN	Number=Sing	5	obl:unmarked	_	_
4	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	aux:pass	_	_
5	caused	cause	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	by	by	ADP	IN	_	7	case	_	_
7	people	people	NOUN	NNS	Number=Plur	5	obl:agent	_	_
8	,	,	PUNCT	,	_	10	punct	_	_
9	by	by	SCONJ	IN	_	10	mark	_	_
10	cutting	cut	VERB	VBG	Tense=Pres|VerbForm=Part	5	advcl	_	_
11	down	down	ADP	RP	_	10	compound:prt	_	_
12	homes	home	NOUN	NNS	Number=Plur	10	obj	_	_
13	,	,	PUNCT	,	_	14	punct	_	_
14	hunting	hunt	VERB	VBG	Tense=Pres|VerbForm=Part	10	conj	_	_
15	,	,	PUNCT	,	_	16	punct	_	_
16	bringing	bring	VERB	VBG	Tense=Pres|VerbForm=Part	10	conj	_	Agree=R3-conj-first|Haiku=14:conj
17	in	in	ADP	IN	_	18	case	_	_
18	rats	rat	NOUN	NNS	Number=Plur	16	obl	_	_
19	and	and	CCONJ	CC	_	20	cc	_	_
20	diseases	disease	NOUN	NNS	Number=Plur	18	conj	_	_
21	,	,	PUNCT	,	_	23	punct	_	_
22	and	and	CCONJ	CC	_	23	cc	_	_
23	dropping	drop	VERB	VBG	Tense=Pres|VerbForm=Part	10	conj	_	Agree=R3-conj-first|Haiku=14:conj
24	plastic	plastic	NOUN	NN	Number=Sing	23	obj	_	_
25	;	;	PUNCT	,	_	5	punct	_	_
26	the	the	DET	DT	Definite=Def|PronType=Art	28	det	_	_
27	good	good	ADJ	JJ	Degree=Pos	28	amod	_	_
28	news	news	NOUN	NN	Number=Sing	5	parataxis	_	_
29	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	28	cop	_	_
30	that	that	SCONJ	IN	_	35	mark	_	_
31	the	the	DET	DT	Definite=Def|PronType=Art	33	det	_	_
32	same	same	ADJ	JJ	Degree=Pos	33	amod	_	_
33	people	people	NOUN	NNS	Number=Plur	35	nsubj	_	_
34	can	can	AUX	MD	VerbForm=Fin	35	aux	_	_
35	protect	protect	VERB	VB	VerbForm=Inf	28	ccomp	_	_
36	animals	animal	NOUN	NNS	Number=Plur	35	obj	_	_
37	,	,	PUNCT	,	_	46	punct	_	Agree=R6-punct-agree|Haiku=39:punct
38	and	and	CCONJ	CC	_	39	cc	_	_
39	tigers	tiger	NOUN	NNS	Number=Plur	46	nsubj	_	_
40	in	in	ADP	IN	_	41	case	_	_
41	India	India	PROPN	NNP	Number=Sing	39	nmod	_	_
42	and	and	CCONJ	CC	_	43	cc	_	_
43	Nepal	Nepal	PROPN	NNP	Number=Sing	41	conj	_	_
44	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	46	aux	_	_
45	already	already	ADV	RB	_	46	advmod	_	_
46	increasing	increase	VERB	VBG	Tense=Pres|VerbForm=Part	5	conj	_	_
47	.	.	PUNCT	.	_	5	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **cause** | present · passive | people | Most extinctions |  |  | today |  | vn engender-27.1-1 «NP V NP»: agent=Precondition subject=Patient |
| 2 | **cut down** | gerund | people *not said here* | homes |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset home=Product |
| 3 | **hunt** | gerund | people *not said here* |  |  |  |  |  | vn hunt-35.1 «NP V»: agent=Agent |
| 4 | **bring** | gerund | people *not said here* |  |  | rats and diseases |  |  | vn bring-11.3-1 «NP V NP together»: agent=Agent |
| 5 | **drop** | gerund | people *not said here* | plastic |  |  |  |  | vn put\_direction-9.4 «NP V NP»: agent=Agent plastic=Theme |
| 6 | **is a** | present |  | the good news |  |  |  |  | tree rules |
| 7 | **protect** | can | the same people |  | animals |  |  |  | vn defend-72.3 «NP V NP»: agent=Agent animal=Beneficiary |
| 8 | **increase** | present · progressive | tigers in India and Nepal |  |  |  |  |  | vn caused\_calibratable\_cos-45.6.2-1 «NP V ADV-Middle»: agent=Patient |

<!-- .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:077-endangered-animals-and-extinction.lesson:2`.

**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): R3-conj-first ×2, R6-punct-agree ×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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