---
title: «tigers hate water like my cat, everyone knows» What is right? — Kung Fu Panda: real tigers and cranes · tree and pragmatics
description: «tigers hate water like my cat, everyone knows» What is right? Test 3 · ★★ of lesson 136 «Kung Fu Panda: real tigers and cranes» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong.
---

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# Test 3 · ★★ · Kung Fu Panda: real tigers and cranes

<!-- .ven lang=en -->
«tigers hate water like my cat, everyone knows» What is right?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** tigers, everyone · **What happens:** hate, know, be · **To what, where:** water · **Speech:** someone speaks here

<!-- .vabout -->
This is test 3 · ★★ of lesson 136 «Kung Fu Panda: real tigers and cranes» of the biology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/biology/136-kung-fu-panda-real-tigers-and-cranes/#t3).

## The question {#question}

```conllu
# sent_id = question:biology:136-kung-fu-panda-real-tigers-and-cranes:t3:1
# text = «tigers hate water like my cat, everyone knows» What is right?
1	«	«	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	tigers	tiger	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	hate	hate	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	water	water	NOUN	NN	Number=Sing	3	obj	_	_
5	like	like	ADP	IN	_	7	case	_	_
6	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
7	cat	cat	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	everyone	everyone	PRON	NN	Number=Sing|PronType=Tot	10	nsubj	_	_
10	knows	know	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	SpaceAfter=No
11	»	»	PUNCT	''	_	10	punct	_	_
12	What	what	PRON	WP	PronType=Int	14	nsubj	_	_
13	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	14	cop	_	_
14	right	right	ADJ	JJ	Degree=Pos	10	ccomp	_	SpaceAfter=No
15	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **hate** *in a quote* | present | tigers | water |  |  |  | like my cat | vn admire-31.2-1 «NP V NP»: agent=Experiencer water=Stimulus |
| 2 | **know** *in a quote* | present | everyone |  |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V»: agent=Experiencer |
| 3 | **is** | present |  |  |  |  |  | right *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.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Only white tigers swim

```conllu
# sent_id = question:biology:136-kung-fu-panda-real-tigers-and-cranes:t3:o1:1
# text = Only white tigers swim
1	Only	only	ADV	RB	_	2	advmod	_	_
2	white	white	ADJ	JJ	Degree=Pos	3	amod	_	_
3	tigers	tiger	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	swim	swim	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **swim** | present | white tigers |  |  |  |  |  | vn run-51.3.2-1 «NP V»: agent=Theme |

### Option 2 {#o2}

<!-- .ven lang=en -->
Yes, water hurts their stripes

```conllu
# sent_id = question:biology:136-kung-fu-panda-real-tigers-and-cranes:t3:o2:1
# text = Yes, water hurts their stripes
1	Yes	yes	INTJ	UH	Polarity=Pos	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	water	water	NOUN	NN	Number=Sing	4	nsubj	_	_
4	hurts	hurt	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	6	nmod:poss	_	_
6	stripes	stripe	NOUN	NNS	Number=Plur	4	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **hurt** | present | water | their stripes |  |  |  |  | vn hurt-40.8.3-2 «NP V NP»: agent=Experiencer stripe=Patient |

### Option 3 {#o3}

<!-- .ven lang=en -->
Yes, tigers never go near water, just like my cat

```conllu
# sent_id = question:biology:136-kung-fu-panda-real-tigers-and-cranes:t3:o3:1
# text = Yes, tigers never go near water, just like my cat
1	Yes	yes	INTJ	UH	Polarity=Pos	5	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	tigers	tiger	NOUN	NNS	Number=Plur	5	nsubj	_	_
4	never	never	ADV	RB	PronType=Neg	5	advmod	_	_
5	go	go	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	near	near	ADP	IN	_	7	case	_	_
7	water	water	NOUN	NN	Number=Sing	5	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	12	punct	_	_
9	just	just	ADV	RB	_	12	advmod	_	_
10	like	like	ADP	IN	_	12	case	_	_
11	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	12	nmod:poss	_	_
12	cat	cat	NOUN	NN	Number=Sing	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **go** | present | tigers |  |  | water |  | like my cat | vn occur-48.3-2 «NP V PP»: agent=Theme near water=Location |

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Tigers love water

```conllu
# sent_id = question:biology:136-kung-fu-panda-real-tigers-and-cranes:t3:o4:1
# text = Tigers love water
1	Tigers	tiger	NOUN	NNS	Number=Plur	2	nsubj	_	_
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	_	_
```

<!-- .fr -->
| # | 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 |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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- ← previous: [Kung Fu Panda: real tigers and cranes, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/biology/136-kung-fu-panda-real-tigers-and-cranes/t2/)
- next →: [Kung Fu Panda: real tigers and cranes, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/biology/136-kung-fu-panda-real-tigers-and-cranes/t4/)
- ↑ back to [Kung Fu Panda: real tigers and cranes](https://md.mova.elamur.ai/free/en/corpora/questions/biology/136-kung-fu-panda-real-tigers-and-cranes/)