---
title: A kingfisher dives head first with very little splash, and Japan's b… — How animals hunt · tree and pragmatics
description: A kingfisher dives head first with very little splash, and Japan's bullet train nose was redesigned to copy its bill, making it quieter in tunnels; water bends light, so a fish looks to be in a slightly different place from where it really is, and a kingfisher learns to aim right. Who acts: kingfish
---

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# How animals hunt, sentence 10

<!-- .ven lang=en -->
A kingfisher dives head first with very little splash, and Japan's bullet train nose was redesigned to copy its bill, making it quieter in tunnels; water bends light, so a fish looks to be in a slightly different place from where it really is, and a kingfisher learns to aim right.

<!-- .vintro -->
**Who acts:** kingfisher, water, fish, nose · **What happens:** dive, redesign, copy, make, bend, look · **To what, where:** head, train nose, bill, light, different place

<!-- .vabout -->
This is a sentence of the lesson «How animals hunt» 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 (kingfisher, water, fish, nose), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:052-how-animals-hunt.lesson:10
# text = A kingfisher dives head first with very little splash, and Japan's bullet train nose was redesigned to copy its bill, making it quieter in tunnels; water bends light, so a fish looks to be in a slightly different place from where it really is, and a kingfisher learns to aim right.
# source = school lesson (ours)
# course = biology
# lesson = 052-how-animals-hunt.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 ×2, R7-rel-agree ×2
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	kingfisher	kingfisher	NOUN	NN	Number=Sing	3	nsubj	_	_
3	dives	dive	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	head	head	NOUN	NN	Number=Sing	3	obj	_	_
5	first	first	ADV	RB	NumForm=Word|NumType=Ord	3	advmod	_	Agree=R5-strong|Haiku=4:advmod
6	with	with	ADP	IN	_	9	case	_	_
7	very	very	ADV	RB	_	8	advmod	_	_
8	little	little	ADJ	JJ	Degree=Pos	9	amod	_	_
9	splash	splash	NOUN	NN	Number=Sing	3	obl	_	_
10	,	,	PUNCT	,	_	18	punct	_	_
11	and	and	CCONJ	CC	_	18	cc	_	_
12	Japan	Japan	PROPN	NNP	Number=Sing	16	nmod:poss	_	_
13	's	's	PART	POS	_	12	case	_	_
14	bullet	bullet	NOUN	NN	Number=Sing	15	compound	_	Agree=R5-strong|Haiku=16:compound
15	train	train	NOUN	NN	Number=Sing	16	compound	_	_
16	nose	nose	NOUN	NN	Number=Sing	18	nsubj	_	_
17	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	18	aux:pass	_	_
18	redesigned	redesign	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	conj	_	_
19	to	to	PART	TO	_	20	mark	_	_
20	copy	copy	VERB	VB	VerbForm=Inf	18	advcl	_	Agree=R7-rel-agree|Haiku=18:xcomp
21	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	22	nmod:poss	_	_
22	bill	bill	NOUN	NN	Number=Sing	20	obj	_	_
23	,	,	PUNCT	,	_	24	punct	_	_
24	making	make	VERB	VBG	Tense=Pres|VerbForm=Part	20	advcl	_	_
25	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	24	obj	_	_
26	quieter	quiet	ADJ	JJR	Degree=Cmp	24	xcomp	_	_
27	in	in	ADP	IN	_	28	case	_	_
28	tunnels	tunnel	NOUN	NNS	Number=Plur	26	obl	_	_
29	;	;	PUNCT	,	_	31	punct	_	_
30	water	water	NOUN	NN	Number=Sing	31	nsubj	_	_
31	bends	bend	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
32	light	light	NOUN	NN	Number=Sing	31	obj	_	_
33	,	,	PUNCT	,	_	37	punct	_	_
34	so	so	ADV	RB	_	37	advmod	_	_
35	a	a	DET	DT	Definite=Ind|PronType=Art	36	det	_	_
36	fish	fish	NOUN	NN	Number=Sing	37	nsubj	_	_
37	looks	look	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	31	conj	_	_
38	to	to	PART	TO	_	44	mark	_	_
39	be	be	AUX	VB	VerbForm=Inf	44	cop	_	_
40	in	in	ADP	IN	_	44	case	_	_
41	a	a	DET	DT	Definite=Ind|PronType=Art	44	det	_	_
42	slightly	slightly	ADV	RB	_	43	advmod	_	_
43	different	different	ADJ	JJ	Degree=Pos	44	amod	_	_
44	place	place	NOUN	NN	Number=Sing	37	xcomp	_	Agree=R7-rel-agree|Haiku=37:advcl
45	from	from	ADP	IN	_	46	case	_	_
46	where	where	ADV	WRB	PronType=Rel	49	advmod	_	_
47	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	49	nsubj	_	_
48	really	really	ADV	RB	_	49	advmod	_	_
49	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	44	acl:relcl	_	_
50	,	,	PUNCT	,	_	54	punct	_	_
51	and	and	CCONJ	CC	_	54	cc	_	_
52	a	a	DET	DT	Definite=Ind|PronType=Art	53	det	_	_
53	kingfisher	kingfisher	NOUN	NN	Number=Sing	54	nsubj	_	_
54	learns	learn	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
55	to	to	PART	TO	_	56	mark	_	_
56	aim	aim	VERB	VB	VerbForm=Inf	54	xcomp	_	_
57	right	right	ADV	RB	_	56	advmod	_	_
58	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: narrate
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **dive** | present | a kingfisher | head |  |  |  | with little splash; first *property* | vn meander-47.7 «PP.location V NP»: agent=Location head=Theme |
| 2 | **redesign** | past · passive |  | Japan's train nose |  |  |  |  | tree rules |
| 3 | **copy** | to-infinitive |  | nose's bill |  |  |  |  | vn scribble-25.2 «NP V NP»: agent=Agent bill=Theme |
| 4 | **make** | gerund |  | bill |  |  |  | quiet *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset it=Product |
| 5 | **bend** | present | water | light |  |  |  |  | vn knead-26.5 «NP V NP.material»: agent=Agent light=Material |
| 6 | **look** | present | a fish |  |  |  |  |  | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |
| 7 | **is** | to-infinitive | a fish *not said here* |  |  | a different place |  |  | tree rules |
| 8 | **learn** | present | a kingfisher |  |  |  |  |  | vn learn-14-2-1 «NP V that S»: agent=Agent clause=Topic |
| 9 | **aim** | to-infinitive | a kingfisher *not said here* |  |  |  |  | right *property* | vn wish-62 «NP V for NP S\_INF»: agent=Pivot |
| 10 | **bill** |  | nose |  |  |  |  |  | nom bill «communication transitive»: poss=agent |

<!-- .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:052-how-animals-hunt.lesson:10`.

**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 ×2, R7-rel-agree ×2. **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/).

<!-- /div -->

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