---
title: Each cat ear has about 30 muscles and can turn on its own to pinpoin… — How real cats hunt: stalking, waiting and pouncing · tree and pragmatics
description: Each cat ear has about 30 muscles and can turn on its own to pinpoint a sound, and cats hear very high sounds, including mouse squeaks, far above what people hear. Who acts: cat ear, cats, people. A sentence of the lesson «How real cats hunt: stalking, waiting and pouncing» of the biology course of 
---

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# How real cats hunt: stalking, waiting and pouncing, sentence 10

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Each cat ear has about 30 muscles and can turn on its own to pinpoint a sound, and cats hear very high sounds, including mouse squeaks, far above what people hear.

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**Who acts:** cat ear, cats, people · **What happens:** have, turn, pinpoint, hear · **To what, where:** 30 muscles, own, sound, high sounds

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This is a sentence of the lesson «How real cats hunt: stalking, waiting and pouncing» 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 (cat ear, cats, people), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:119-how-real-cats-hunt.lesson:10
# text = Each cat ear has about 30 muscles and can turn on its own to pinpoint a sound, and cats hear very high sounds, including mouse squeaks, far above what people hear.
# source = school lesson (ours)
# course = biology
# lesson = 119-how-real-cats-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): R1-cc-next ×1, R5-strong ×1, R7-rel-agree ×2
1	Each	each	DET	DT	PronType=Tot	3	det	_	_
2	cat	cat	NOUN	NN	Number=Sing	3	compound	_	_
3	ear	ear	NOUN	NN	Number=Sing	4	nsubj	_	_
4	has	have	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	about	about	ADV	RB	_	6	advmod	_	_
6	30	30	NUM	CD	NumForm=Digit|NumType=Card	7	nummod	_	_
7	muscles	muscle	NOUN	NNS	Number=Plur	4	obj	_	_
8	and	and	CCONJ	CC	_	10	cc	_	Agree=R1-cc-next|Haiku=4:cc
9	can	can	AUX	MD	VerbForm=Fin	10	aux	_	_
10	turn	turn	VERB	VB	VerbForm=Inf	4	conj	_	_
11	on	on	ADP	IN	_	13	case	_	_
12	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	13	nmod:poss	_	_
13	own	own	ADJ	JJ	Degree=Pos	10	obl	_	Agree=R7-rel-agree|Haiku=10:xcomp
14	to	to	PART	TO	_	15	mark	_	_
15	pinpoint	pinpoint	VERB	VB	VerbForm=Inf	10	advcl	_	Agree=R5-strong|Haiku=13:xcomp
16	a	a	DET	DT	Definite=Ind|PronType=Art	17	det	_	_
17	sound	sound	NOUN	NN	Number=Sing	15	obj	_	_
18	,	,	PUNCT	,	_	21	punct	_	_
19	and	and	CCONJ	CC	_	10	cc	_	_
20	cats	cat	NOUN	NNS	Number=Plur	21	nsubj	_	_
21	hear	hear	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
22	very	very	ADV	RB	_	23	advmod	_	_
23	high	high	ADJ	JJ	Degree=Pos	24	amod	_	_
24	sounds	sound	NOUN	NNS	Number=Plur	21	obj	_	_
25	,	,	PUNCT	,	_	28	punct	_	_
26	including	include	ADP	IN	_	28	case	_	_
27	mouse	mouse	NOUN	NN	Number=Sing	28	compound	_	_
28	squeaks	squeak	NOUN	NNS	Number=Plur	24	nmod	_	Agree=R7-rel-agree|Haiku=24:conj
29	,	,	PUNCT	,	_	30	punct	_	_
30	far	far	ADV	RB	Degree=Pos	21	advmod	_	_
31	above	above	ADP	IN	_	32	case	_	_
32	what	what	PRON	WP	PronType=Rel	21	obl	_	_
33	people	people	NOUN	NNS	Number=Plur	34	nsubj	_	_
34	hear	hear	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	32	acl:relcl	_	_
35	.	.	PUNCT	.	_	4	punct	_	_
```

## Pragmatics {#pragmatics}

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

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **have** | present | each cat ear | 30 muscles |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent muscle=Patient |
| 2 | **turn** | can | each cat ear *not said here* |  |  | cat's own |  |  | vn roll-51.3.1 «NP V PP.trajectory»: agent=Theme on own=Trajectory |
| 3 | **pinpoint** | to-infinitive | each cat ear *not said here* | a sound |  |  |  |  | tree rules |
| 4 | **hear** | present | cats | high sounds |  |  |  | include mouse squeaks; far *property* | vn see-30.1-1-1 «NP V S»: agent=Experiencer sound=Stimulus |
| 5 | **hear** | present | people |  |  |  |  |  | vn see-30.1-1-1 «NP V PP.stimulus»: agent=Experiencer |

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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:119-how-real-cats-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): R1-cc-next ×1, R5-strong ×1, 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/).

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