---
title: Sanjay Gandhi National Park inside Mumbai has around 50 leopards tha… — Big wild animals in cities: wild boar, deer, coy… · tree and pragmatics
description: Sanjay Gandhi National Park inside Mumbai has around 50 leopards that hunt stray dogs and rats at night; keeping rubbish clean, lights on and children indoors after dark made attacks fall. Who acts: Sanjay, 50 leopards, keeping, attacks. A sentence of the lesson «Big wild animals in cities: wild boa
---

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# Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards, sentence 13

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Sanjay Gandhi National Park inside Mumbai has around 50 leopards that hunt stray dogs and rats at night; keeping rubbish clean, lights on and children indoors after dark made attacks fall.

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**Who acts:** Sanjay, 50 leopards, keeping, attacks · **What happens:** have, hunt, keep, make, fall · **To what, where:** 50 leopards, stray dogs, rubbish

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This is a sentence of the lesson «Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards» 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 (Sanjay, 50 leopards, keeping, attacks), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards.lesson:13
# text = Sanjay Gandhi National Park inside Mumbai has around 50 leopards that hunt stray dogs and rats at night; keeping rubbish clean, lights on and children indoors after dark made attacks fall.
# source = school lesson (ours)
# course = biology
# lesson = 368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards.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 ×2
1	Sanjay	Sanjay	PROPN	NNP	Number=Sing	7	nsubj	_	_
2	Gandhi	Gandhi	PROPN	NNP	Number=Sing	1	flat	_	_
3	National	National	ADJ	NNP	Degree=Pos	4	amod	_	_
4	Park	Park	PROPN	NNP	Number=Sing	1	flat	_	_
5	inside	inside	ADP	IN	_	6	case	_	_
6	Mumbai	Mumbai	PROPN	NNP	Number=Sing	4	nmod	_	Agree=R5-strong|Haiku=1:nmod
7	has	have	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	around	around	ADV	RB	_	9	advmod	_	_
9	50	50	NUM	CD	NumForm=Digit|NumType=Card	10	nummod	_	_
10	leopards	leopard	NOUN	NNS	Number=Plur	7	obj	_	_
11	that	that	PRON	WDT	PronType=Rel	12	nsubj	_	_
12	hunt	hunt	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	acl:relcl	_	_
13	stray	stray	ADJ	JJ	Degree=Pos	14	amod	_	_
14	dogs	dog	NOUN	NNS	Number=Plur	12	obj	_	_
15	and	and	CCONJ	CC	_	16	cc	_	_
16	rats	rat	NOUN	NNS	Number=Plur	14	conj	_	_
17	at	at	ADP	IN	_	18	case	_	_
18	night	night	NOUN	NN	Number=Sing	12	obl	_	_
19	;	;	PUNCT	,	_	7	punct	_	_
20	keeping	keep	VERB	VBG	VerbForm=Ger	31	csubj	_	_
21	rubbish	rubbish	NOUN	NN	Number=Sing	20	obj	_	_
22	clean	clean	ADJ	JJ	Degree=Pos	20	xcomp	_	_
23	,	,	PUNCT	,	_	24	punct	_	_
24	lights	light	NOUN	NNS	Number=Plur	20	conj	_	_
25	on	on	ADP	IN	_	24	nmod	_	_
26	and	and	CCONJ	CC	_	27	cc	_	_
27	children	child	NOUN	NNS	Number=Plur	24	conj	_	_
28	indoors	indoors	ADV	RB	_	22	conj	_	_
29	after	after	ADP	IN	_	30	case	_	_
30	dark	dark	NOUN	NN	Number=Sing	31	obl	_	_
31	made	make	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	7	parataxis	_	_
32	attacks	attack	NOUN	NNS	Number=Plur	33	nsubj	_	Agree=R5-strong|Haiku=31:obj
33	fall	fall	VERB	VB	VerbForm=Inf	31	xcomp	_	_
34	.	.	PUNCT	.	_	7	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 | **have** | present | Sanjay | 50 leopards |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent leopard=Patient |
| 2 | **hunt** | present | 50 leopards | stray dogs and rats |  |  | night |  | vn hunt-35.1 «NP V NP»: agent=Agent dog=Theme |
| 3 | **keep** | gerund |  | rubbish |  |  |  | clean *property* | vn keep-15.2 «NP V NP»: agent=Agent rubbish=Theme |
| 4 | **make** | past | keeping |  |  |  | after dark |  | tree rules |
| 5 | **fall** | infinitive | attacks |  |  |  |  |  | vn occur-48.3 «NP V»: agent=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:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards.lesson:13`.

**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 ×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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