---
title: The water is full of tall tales like that: whales are fish, every sh… — Animals in the sea and the river · tree and pragmatics
description: The water is full of tall tales like that: whales are fish, every shark dies if it stops, piranhas strip a cow in seconds, and a jellyfish sting is cured with wee, which comes from a TV comedy, not a lifeguard. Who acts: water, whales, shark, piranhas. A sentence of the lesson «Animals in the sea an
---

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# Animals in the sea and the river, sentence 3

<!-- .ven lang=en -->
The water is full of tall tales like that: whales are fish, every shark dies if it stops, piranhas strip a cow in seconds, and a jellyfish sting is cured with wee, which comes from a TV comedy, not a lifeguard.

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**Who acts:** water, whales, shark, piranhas, wee · **What happens:** be, die, stop, strip, cure, come · **To what, where:** fish, cow, jellyfish sting, TV comedy

<!-- .vabout -->
This is a sentence of the lesson «Animals in the sea and the river» of the myths 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 (water, whales, shark, piranhas), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:myths:011-animals-in-the-sea-and-the-river.lesson:3
# text = The water is full of tall tales like that: whales are fish, every shark dies if it stops, piranhas strip a cow in seconds, and a jellyfish sting is cured with wee, which comes from a TV comedy, not a lifeguard.
# source = school lesson (ours)
# course = myths
# lesson = 011-animals-in-the-sea-and-the-river.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): no change
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	water	water	NOUN	NN	Number=Sing	4	nsubj	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	full	full	ADJ	JJ	Degree=Pos	0	root	_	_
5	of	of	ADP	IN	_	7	case	_	_
6	tall	tall	ADJ	JJ	Degree=Pos	7	amod	_	_
7	tales	tale	NOUN	NNS	Number=Plur	4	obl	_	_
8	like	like	ADP	IN	_	9	case	_	_
9	that	that	PRON	DT	Number=Sing|PronType=Dem	7	nmod	_	_
10	:	:	PUNCT	:	_	13	punct	_	_
11	whales	whale	NOUN	NNS	Number=Plur	13	nsubj	_	_
12	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	13	cop	_	_
13	fish	fish	NOUN	NNS	Number=Plur	7	conj	_	_
14	,	,	PUNCT	,	_	17	punct	_	_
15	every	every	DET	DT	PronType=Tot	16	det	_	_
16	shark	shark	NOUN	NN	Number=Sing	17	nsubj	_	_
17	dies	die	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
18	if	if	SCONJ	IN	_	20	mark	_	_
19	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	20	nsubj	_	_
20	stops	stop	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	17	advcl	_	_
21	,	,	PUNCT	,	_	23	punct	_	_
22	piranhas	piranha	NOUN	NNS	Number=Plur	23	nsubj	_	_
23	strip	strip	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	17	conj	_	_
24	a	a	DET	DT	Definite=Ind|PronType=Art	25	det	_	_
25	cow	cow	NOUN	NN	Number=Sing	23	obj	_	_
26	in	in	ADP	IN	_	27	case	_	_
27	seconds	second	NOUN	NNS	Number=Plur	23	obl	_	_
28	,	,	PUNCT	,	_	34	punct	_	_
29	and	and	CCONJ	CC	_	34	cc	_	_
30	a	a	DET	DT	Definite=Ind|PronType=Art	32	det	_	_
31	jellyfish	jellyfish	NOUN	NN	Number=Sing	32	compound	_	_
32	sting	sting	NOUN	NN	Number=Sing	34	nsubj:pass	_	_
33	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	34	aux:pass	_	_
34	cured	cure	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	conj	_	_
35	with	with	ADP	IN	_	36	case	_	_
36	wee	wee	NOUN	NN	Number=Sing	34	obl	_	_
37	,	,	PUNCT	,	_	39	punct	_	_
38	which	which	PRON	WDT	PronType=Rel	39	nsubj	_	_
39	comes	come	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	36	acl:relcl	_	_
40	from	from	ADP	IN	_	43	case	_	_
41	a	a	DET	DT	Definite=Ind|PronType=Art	43	det	_	_
42	TV	TV	NOUN	NN	Number=Sing	43	compound	_	_
43	comedy	comedy	NOUN	NN	Number=Sing	39	obl	_	_
44	,	,	PUNCT	,	_	47	punct	_	_
45	not	not	PART	RB	Polarity=Neg	47	advmod	_	_
46	a	a	DET	DT	Definite=Ind|PronType=Art	47	det	_	_
47	lifeguard	lifeguard	NOUN	NN	Number=Sing	43	appos	_	_
48	.	.	PUNCT	.	_	4	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 | **is** | present | the water |  |  |  |  | of tall tales like that and fish; full *property* | tree rules |
| 2 | **is a** | present | whales | fish |  |  |  |  | tree rules |
| 3 | **die** | present | every shark |  |  |  |  |  | vn calibratable\_cos-45.6.1 «NP.attribute V»: agent=Attribute |
| 4 | **stop** *a condition, not said to happen* | present | shark |  |  |  |  |  | vn stop-55.4-1-1 «NP.eventuality V»: agent=Eventuality |
| 5 | **strip** | present | piranhas | a cow |  |  | second |  | vn dress-41.1.1-1-1 «NP V NP»: agent=Agent cow=Patient |
| 6 | **cure** | present · passive |  | a jellyfish sting |  |  |  | with wee | vn free-10.6.3-1-1 «NP V NP PP.theme»: subject=Source |
| 7 | **come** | present | wee |  |  | a TV comedy |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from comedy=Initial\_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:myths:011-animals-in-the-sea-and-the-river.lesson:3`.

**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): no change. **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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