---
title: Vultures are scavengers whose very strong stomach acid kills most ge… — Who eats whom: predators, prey, scavengers and d… · tree and pragmatics
description: Vultures are scavengers whose very strong stomach acid kills most germs from rotting meat; when vultures nearly died out in India after eating cattle treated with a medicine poisonous to them, carcasses lay uncleaned and disease spread. Who acts: Vultures, strong stomach acid, carcasses. A sentence 
---

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# Who eats whom: predators, prey, scavengers and decomposers, sentence 8

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Vultures are scavengers whose very strong stomach acid kills most germs from rotting meat; when vultures nearly died out in India after eating cattle treated with a medicine poisonous to them, carcasses lay uncleaned and disease spread.

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**Who acts:** Vultures, strong stomach acid, carcasses · **What happens:** be, kill, rot, die out, eat, treat · **To what, where:** scavengers, most germs, rotting meat, cattle

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This is a sentence of the lesson «Who eats whom: predators, prey, scavengers and decomposers» 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 (Vultures, strong stomach acid, carcasses), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:047-predators-prey-scavengers-decomposers.lesson:8
# text = Vultures are scavengers whose very strong stomach acid kills most germs from rotting meat; when vultures nearly died out in India after eating cattle treated with a medicine poisonous to them, carcasses lay uncleaned and disease spread.
# source = school lesson (ours)
# course = biology
# lesson = 047-predators-prey-scavengers-decomposers.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): R7-rel-agree ×2, R8-pos-agree ×2
1	Vultures	vulture	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	scavengers	scavenger	NOUN	NNS	Number=Plur	0	root	_	_
4	whose	whose	PRON	WP$	Poss=Yes|PronType=Rel	8	nmod:poss	_	_
5	very	very	ADV	RB	_	6	advmod	_	_
6	strong	strong	ADJ	JJ	Degree=Pos	8	amod	_	_
7	stomach	stomach	NOUN	NN	Number=Sing	8	compound	_	_
8	acid	acid	NOUN	NN	Number=Sing	9	nsubj	_	_
9	kills	kill	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	acl:relcl	_	_
10	most	most	ADJ	JJS	Degree=Sup	11	amod	_	Agree=R7-rel-agree|Haiku=11:advmod|HaikuPos=ADV:RBS:Degree=Sup
11	germs	germ	NOUN	NNS	Number=Plur	9	obj	_	_
12	from	from	ADP	IN	_	14	case	_	_
13	rotting	rot	VERB	VBG	VerbForm=Ger	14	amod	_	Agree=R8-pos-agree|Haiku=14:amod|HaikuPos=ADJ:JJ:_
14	meat	meat	NOUN	NN	Number=Sing	11	nmod	_	_
15	;	;	PUNCT	:	_	19	punct	_	_
16	when	when	ADV	WRB	PronType=Int	19	advmod	_	_
17	vultures	vulture	NOUN	NNS	Number=Plur	19	nsubj	_	_
18	nearly	nearly	ADV	RB	_	19	advmod	_	_
19	died	die	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	35	advcl	_	_
20	out	out	ADP	RP	_	19	compound:prt	_	_
21	in	in	ADP	IN	_	22	case	_	_
22	India	India	PROPN	NNP	Number=Sing	19	obl	_	_
23	after	after	SCONJ	IN	_	24	mark	_	_
24	eating	eat	VERB	VBG	VerbForm=Ger	19	advcl	_	_
25	cattle	cattle	NOUN	NNS	Number=Plur	24	obj	_	_
26	treated	treat	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	25	acl	_	_
27	with	with	ADP	IN	_	29	case	_	_
28	a	a	DET	DT	Definite=Ind|PronType=Art	29	det	_	_
29	medicine	medicine	NOUN	NN	Number=Sing	26	obl	_	_
30	poisonous	poisonous	ADJ	JJ	Degree=Pos	29	amod	_	Agree=R7-rel-agree|Haiku=29:acl
31	to	to	ADP	IN	_	32	case	_	_
32	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	30	obl	_	_
33	,	,	PUNCT	,	_	34	punct	_	_
34	carcasses	carcass	NOUN	NNS	Number=Plur	35	nsubj	_	_
35	lay	lay	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	parataxis	_	_
36	uncleaned	unclean	ADJ	JJ	Degree=Pos	35	xcomp	_	Agree=R8-pos-agree|Haiku=35:xcomp|HaikuPos=VERB:VBN:Tense=Past|VerbForm=Part|Voice=Pass
37	and	and	CCONJ	CC	_	39	cc	_	_
38	disease	disease	NOUN	NN	Number=Sing	39	compound	_	_
39	spread	spread	NOUN	NN	Number=Sing	36	conj	_	_
40	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: assert
- voice: narrator
- polarity: neg
- 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 | Vultures | scavengers |  |  |  |  | tree rules |
| 2 | **kill** | present | strong stomach acid | most germs |  | rotting meat |  |  | vn remove-10.1 «NP V NP PP»: agent=Agent germ=Theme from meat=Initial\_Location |
| 3 | **rot** | gerund |  |  |  |  |  |  | vn entity\_specific\_cos-45.5 «NP.patient V»: agent=Patient |
| 4 | **die out** | past | vultures |  |  |  |  | in India; nearly *property* | vn calibratable\_cos-45.6.1 «NP.patient V PP.attribute»: agent=Patient in india=Attribute |
| 5 | **eat** | gerund | vultures *not said here* | cattle |  |  |  |  | vn eat-39.1-1 «NP V NP»: agent=Agent cattle=Patient |
| 6 | **treat** | participle |  | cattle *not said here* |  |  |  | with a medicine | vn equip-13.4.2-1 «NP V NP-Fulfilling PP»: agent=Agent with medicine=Theme |
| 7 | **lay** | present | carcasses |  |  |  |  | unclean *property* | vn create-26.4 «NP V NP»: agent=Agent |

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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:047-predators-prey-scavengers-decomposers.lesson:8`.

**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): R7-rel-agree ×2, R8-pos-agree ×2. **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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