---
title: Animals that learn fast and eat almost anything do best in cities, a… — Big wild animals in cities: wild boar, deer, coy… · tree and pragmatics
description: Animals that learn fast and eat almost anything do best in cities, and scientists have found many city animals are bolder than their country cousins. Who acts: Animals, scientists. A sentence of the lesson «Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards» of the biology co
---

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# Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards, sentence 16

<!-- .ven lang=en -->
Animals that learn fast and eat almost anything do best in cities, and scientists have found many city animals are bolder than their country cousins.

<!-- .vintro -->
**Who acts:** Animals, scientists · **What happens:** learn, eat, find, be · **To what, where:** anything, many city animals · **Speech:** someone speaks here

<!-- .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 (Animals, scientists), 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:16
# text = Animals that learn fast and eat almost anything do best in cities, and scientists have found many city animals are bolder than their country cousins.
# 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 ×3, R6-punct-agree ×1, R8-pos-agree ×1
1	Animals	animal	NOUN	NNS	Number=Plur	9	nsubj	_	Agree=R5-strong|Haiku=10:nsubj
2	that	that	PRON	WDT	PronType=Rel	3	nsubj	_	_
3	learn	learn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	acl:relcl	_	_
4	fast	fast	ADV	RB	Degree=Pos	3	advmod	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	eat	eat	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	Agree=R8-pos-agree|Haiku=3:conj|HaikuPos=VERB:VB:VerbForm=Inf
7	almost	almost	ADV	RB	_	8	advmod	_	_
8	anything	anything	PRON	NN	Number=Sing|PronType=Ind	6	obj	_	_
9	do	do	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	aux	_	_
10	best	good	ADJ	JJS	Degree=Sup	0	root	_	_
11	in	in	ADP	IN	_	12	case	_	_
12	cities	city	NOUN	NNS	Number=Plur	9	obl	_	Agree=R5-strong|Haiku=6:obl
13	,	,	PUNCT	,	_	17	punct	_	_
14	and	and	CCONJ	CC	_	17	cc	_	_
15	scientists	scientist	NOUN	NNS	Number=Plur	17	nsubj	_	_
16	have	have	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	17	aux	_	_
17	found	find	VERB	VBN	Tense=Past|VerbForm=Part	9	conj	_	Agree=R5-strong|Haiku=10:conj
18	many	many	ADJ	JJ	Degree=Pos	20	amod	_	_
19	city	city	NOUN	NN	Number=Sing	20	compound	_	_
20	animals	animal	NOUN	NNS	Number=Plur	17	obj	_	_
21	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	22	cop	_	_
22	bolder	bold	ADJ	JJR	Degree=Cmp	17	ccomp	_	_
23	than	than	ADP	IN	_	26	case	_	_
24	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	26	nmod:poss	_	_
25	country	country	NOUN	NN	Number=Sing	26	compound	_	_
26	cousins	cousin	NOUN	NNS	Number=Plur	22	obl	_	_
27	.	.	PUNCT	.	_	9	punct	_	Agree=R6-punct-agree|Haiku=10: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 | **learn** | present | Animals |  |  |  |  | fast *property* | vn learn-14-1 «NP V»: agent=Agent |
| 2 | **eat** | present | Animals *not said here* | anything |  |  |  |  | vn eat-39.1-1 «NP V NP»: agent=Agent anything=Patient |
| 3 | **find** | present · perfect | scientists | many city animals |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent animal=Topic |
| 4 | **is** | present |  |  |  |  |  | than scientists's country cousins; bold *property* | tree rules |

<!-- .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:16`.

**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 ×3, R6-punct-agree ×1, R8-pos-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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- ← previous: [Big wild animals in cities: wild boar,…, 15](https://md.mova.elamur.ai/free/en/corpora/school/biology/368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards/15/)
- next →: [City birds: sparrows, starlings, swift…, 0](https://md.mova.elamur.ai/free/en/corpora/school/biology/369-city-birds-sparrows-starlings-swifts-crows-and-peregrines-on-tall-buildings/0/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards/)

