---
title: Tigers love water: they bathe on hot days, swim strongly, chase prey… — Kung Fu Panda: real tigers and cranes · tree and pragmatics
description: Tigers love water: they bathe on hot days, swim strongly, chase prey across rivers and in the Sundarbans mangroves of India and Bangladesh swim between islands. Who acts: Tigers, forests, Sundarbans mangroves. A sentence of the lesson «Kung Fu Panda: real tigers and cranes» of the biology course of 
---

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# Kung Fu Panda: real tigers and cranes, sentence 7

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Tigers love water: they bathe on hot days, swim strongly, chase prey across rivers and in the Sundarbans mangroves of India and Bangladesh swim between islands.

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**Who acts:** Tigers, forests, Sundarbans mangroves · **What happens:** love, bathe, swim, chase · **To what, where:** water, prey, rivers, islands

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This is a sentence of the lesson «Kung Fu Panda: real tigers and cranes» 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 (Tigers, forests, Sundarbans mangroves), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:136-kung-fu-panda-real-tigers-and-cranes.lesson:7
# text = Tigers love water: they bathe on hot days, swim strongly, chase prey across rivers and in the Sundarbans mangroves of India and Bangladesh swim between islands.
# source = school lesson (ours)
# course = biology
# lesson = 136-kung-fu-panda-real-tigers-and-cranes.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 ×4, R6-punct-agree ×1, R8-pos-agree ×1
1	Tigers	tiger	PROPN	NNPS	Number=Plur	2	nsubj	_	Agree=R8-pos-agree|Haiku=2:nsubj|HaikuPos=NOUN:NNS:Number=Plur
2	love	love	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	water	water	NOUN	NN	Number=Sing	2	obj	_	_
4	:	:	PUNCT	:	_	6	punct	_	_
5	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	6	nsubj	_	_
6	bathe	bathe	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	parataxis	_	_
7	on	on	ADP	IN	_	9	case	_	_
8	hot	hot	ADJ	JJ	Degree=Pos	9	amod	_	_
9	days	day	NOUN	NNS	Number=Plur	6	obl	_	_
10	,	,	PUNCT	,	_	11	punct	_	_
11	swim	swim	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	conj	_	_
12	strongly	strongly	ADV	RB	_	11	advmod	_	_
13	,	,	PUNCT	,	_	14	punct	_	Agree=R6-punct-agree|Haiku=15:punct
14	chase	chase	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	conj	_	Agree=R5-strong|Haiku=15:compound|HaikuPos=NOUN:NN:Number=Sing
15	prey	prey	NOUN	NN	Number=Sing	14	obj	_	Agree=R5-strong|Haiku=11:obl
16	across	across	ADP	IN	_	17	case	_	_
17	rivers	river	NOUN	NNS	Number=Plur	14	obl	_	Agree=R5-strong|Haiku=15:nmod
18	and	and	CCONJ	CC	_	27	cc	_	_
19	in	in	ADP	IN	_	22	case	_	_
20	the	the	DET	DT	Definite=Def|PronType=Art	22	det	_	Agree=R5-strong|Haiku=21:det
21	Sundarbans	Sundarbans	PROPN	NNP	Number=Plur	22	compound	_	_
22	mangroves	mangrove	NOUN	NNS	Number=Plur	27	nsubj	_	_
23	of	of	ADP	IN	_	24	case	_	_
24	India	India	PROPN	NNP	Number=Sing	22	nmod	_	_
25	and	and	CCONJ	CC	_	26	cc	_	_
26	Bangladesh	Bangladesh	PROPN	NNP	Number=Sing	24	conj	_	_
27	swim	swim	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
28	between	between	ADP	IN	_	29	case	_	_
29	islands	island	NOUN	NNS	Number=Plur	27	obl	_	_
30	.	.	PUNCT	.	_	2	punct	_	_
```

## Pragmatics {#pragmatics}

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No stored speech act for this sentence.

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **love** | present | Tigers | water |  |  |  |  | vn admire-31.2-1 «NP V NP»: agent=Experiencer water=Stimulus |
| 2 | **bathe** | present | forests *= forest* |  |  |  | day |  | vn dress-41.1.1-1-1 «NP V»: agent=Agent |
| 3 | **swim** | present | forests *= forest* *not said here* |  |  |  |  | strongly *property* | vn run-51.3.2-1 «NP V»: agent=Theme |
| 4 | **chase** | present | forests *= forest* *not said here* | prey |  | rivers |  |  | vn chase-51.6 «NP V NP PP.location»: agent=Agent prey=Theme across river=Trajectory |
| 5 | **swim** | present | the Sundarbans mangroves of India and Bangladesh |  |  | islands |  |  | vn run-51.3.2-1 «NP V PP.location»: agent=Theme between island=Trajectory |

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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:136-kung-fu-panda-real-tigers-and-cranes.lesson:7`.

**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 ×4, 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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