---
title: Cities are not only for people: wild boar dig up parks in Berlin, de… — Big wild animals in cities: wild boar, deer, coy… · tree and pragmatics
description: Cities are not only for people: wild boar dig up parks in Berlin, deer bow to tourists in Japan, coyotes cross roads in Chicago and leopards hunt at night inside Mumbai. Who acts: wild boar, deer, coyotes, leopards. A sentence of the lesson «Big wild animals in cities: wild boar, deer, coyotes, monk
---

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# Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards, sentence 0

<!-- .ven lang=en -->
Cities are not only for people: wild boar dig up parks in Berlin, deer bow to tourists in Japan, coyotes cross roads in Chicago and leopards hunt at night inside Mumbai.

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**Who acts:** wild boar, deer, coyotes, leopards · **What happens:** be, dig up, bow, cross, hunt · **To what, where:** parks, Berlin, Japan, roads, Mumbai

<!-- .vabout -->
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 (wild boar, deer, coyotes, leopards), 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:0
# text = Cities are not only for people: wild boar dig up parks in Berlin, deer bow to tourists in Japan, coyotes cross roads in Chicago and leopards hunt at night inside Mumbai.
# 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): R2-punct-next ×1, R5-strong ×1, R6-punct-agree ×1
1	Cities	city	NOUN	NNS	Number=Plur	6	nsubj	_	_
2	are	be	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	not	not	PART	RB	Polarity=Neg	6	advmod	_	_
4	only	only	ADV	RB	_	6	advmod	_	_
5	for	for	ADP	IN	_	6	case	_	_
6	people	people	NOUN	NNS	Number=Plur	2	obl	_	_
7	:	:	PUNCT	:	_	2	punct	_	_
8	wild	wild	ADJ	JJ	Degree=Pos	9	amod	_	_
9	boar	boar	NOUN	NN	Number=Sing	10	nsubj	_	_
10	dig	dig	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
11	up	up	ADP	RP	_	10	compound:prt	_	_
12	parks	park	NOUN	NNS	Number=Plur	10	obj	_	_
13	in	in	ADP	IN	_	14	case	_	_
14	Berlin	Berlin	PROPN	NNP	Number=Sing	12	nmod	_	_
15	,	,	PUNCT	,	_	17	punct	_	Agree=R2-punct-next|Haiku=10:punct
16	deer	deer	NOUN	NN	Number=Sing	17	nsubj	_	_
17	bow	bow	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	conj	_	_
18	to	to	ADP	IN	_	19	case	_	_
19	tourists	tourist	NOUN	NNS	Number=Plur	17	obl	_	_
20	in	in	ADP	IN	_	21	case	_	_
21	Japan	Japan	PROPN	NNP	Number=Sing	17	obl	_	_
22	,	,	PUNCT	,	_	10	punct	_	_
23	coyotes	coyote	NOUN	NNS	Number=Plur	24	nsubj	_	_
24	cross	cross	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	conj	_	_
25	roads	road	NOUN	NNS	Number=Plur	24	obj	_	Agree=R5-strong|Haiku=23:conj
26	in	in	ADP	IN	_	27	case	_	_
27	Chicago	Chicago	PROPN	NNP	Number=Sing	24	obl	_	_
28	and	and	CCONJ	CC	_	29	cc	_	_
29	leopards	leopard	NOUN	NNS	Number=Plur	30	nsubj	_	_
30	hunt	hunt	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	conj	_	_
31	at	at	ADP	IN	_	32	case	_	_
32	night	night	NOUN	NN	Number=Sing	30	obl	_	_
33	inside	inside	ADP	IN	_	34	case	_	_
34	Mumbai	Mumbai	PROPN	NNP	Number=Sing	30	obl	_	_
35	.	.	PUNCT	.	_	6	punct	_	Agree=R6-punct-agree|Haiku=2: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 | **be** | present |  |  |  |  |  | for people | vn exist-47.1 «NP V»: agent=Theme |
| 2 | **dig up** | present | wild boar | parks |  | Berlin |  |  | vn hunt-35.1 «NP V NP PP.location»: agent=Agent park=Theme in berlin=Location |
| 3 | **bow** | present | deer |  |  | Japan |  | to tourists | vn acquiesce-95.1-1 «NP V PP.theme»: agent=Agent to tourist=Theme |
| 4 | **cross** | present | coyotes | roads |  |  |  | in Chicago | vn crane-40.3.2 «NP V NP PP.recipient PP.theme»: agent=Agent road=Patient in chicago=Topic |
| 5 | **hunt** | present | leopards |  |  | Mumbai | night |  | vn hunt-35.1 «NP V PP.theme PP.location»: agent=Agent inside mumbai=Location |

<!-- .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:0`.

**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): R2-punct-next ×1, R5-strong ×1, 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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