---
title: Whiskers are thick, deep-rooted hairs full of nerves; cats cannot fo… — How real cats hunt: stalking, waiting and pouncing · tree and pragmatics
description: Whiskers are thick, deep-rooted hairs full of nerves; cats cannot focus well very close to their noses, so the whiskers sweep forward to feel the prey for the last few centimetres, and cats also have stiff whiskers on the backs of their front legs. Who acts: Whiskers, cats. A sentence of the lesson 
---

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# How real cats hunt: stalking, waiting and pouncing, sentence 11

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Whiskers are thick, deep-rooted hairs full of nerves; cats cannot focus well very close to their noses, so the whiskers sweep forward to feel the prey for the last few centimetres, and cats also have stiff whiskers on the backs of their front legs.

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**Who acts:** Whiskers, cats · **What happens:** be, root, not focus, sweep, feel, have · **To what, where:** prey, stiff whiskers, backs

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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 (Whiskers, cats), 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:11
# text = Whiskers are thick, deep-rooted hairs full of nerves; cats cannot focus well very close to their noses, so the whiskers sweep forward to feel the prey for the last few centimetres, and cats also have stiff whiskers on the backs of their front legs.
# 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): R5-strong ×3, R7-rel-agree ×2
1	Whiskers	whisker	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	thick	thick	ADJ	JJ	Degree=Pos	0	root	_	_
4	,	,	PUNCT	,	_	8	punct	_	_
5	deep	deep	ADJ	JJ	Degree=Pos	8	amod	_	_
6	-	-	PUNCT	HYPH	_	5	punct	_	_
7	rooted	root	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	amod	_	_
8	hairs	hair	NOUN	NNS	Number=Plur	3	parataxis	_	_
9	full	full	ADJ	JJ	Degree=Pos	8	amod	_	_
10	of	of	ADP	IN	_	11	case	_	_
11	nerves	nerve	NOUN	NNS	Number=Plur	9	obl	_	_
12	;	;	PUNCT	,	_	16	punct	_	_
13	cats	cat	NOUN	NNS	Number=Plur	16	nsubj	_	_
14	can	can	AUX	MD	VerbForm=Fin	16	aux	_	_
15	not	not	PART	RB	Polarity=Neg	16	advmod	_	_
16	focus	focus	VERB	VB	VerbForm=Inf	3	conj	_	_
17	well	well	ADV	RB	Degree=Pos	16	advmod	_	Agree=R5-strong|Haiku=19:advmod
18	very	very	ADV	RB	_	19	advmod	_	_
19	close	close	ADV	RB	Degree=Pos	16	advmod	_	Agree=R7-rel-agree|Haiku=16:xcomp|HaikuPos=ADJ:JJ:Degree=Pos
20	to	to	ADP	IN	_	22	case	_	_
21	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	22	nmod:poss	_	_
22	noses	nose	NOUN	NNS	Number=Plur	19	obl	_	_
23	,	,	PUNCT	,	_	27	punct	_	_
24	so	so	ADV	RB	_	27	advmod	_	_
25	the	the	DET	DT	Definite=Def|PronType=Art	26	det	_	_
26	whiskers	whisker	NOUN	NNS	Number=Plur	27	nsubj	_	_
27	sweep	sweep	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	16	parataxis	_	_
28	forward	forward	ADV	RB	_	27	advmod	_	_
29	to	to	PART	TO	_	30	mark	_	_
30	feel	feel	VERB	VB	VerbForm=Inf	27	advcl	_	Agree=R7-rel-agree|Haiku=27:xcomp
31	the	the	DET	DT	Definite=Def|PronType=Art	32	det	_	_
32	prey	prey	NOUN	NN	Number=Sing	30	obj	_	_
33	for	for	ADP	IN	_	37	case	_	_
34	the	the	DET	DT	Definite=Def|PronType=Art	37	det	_	_
35	last	last	ADJ	JJ	Degree=Pos	37	amod	_	_
36	few	few	ADJ	JJ	Degree=Pos	37	amod	_	_
37	centimetres	centimetre	NOUN	NNS	Number=Plur	30	obl	_	Agree=R5-strong|Haiku=32:nmod
38	,	,	PUNCT	,	_	42	punct	_	_
39	and	and	CCONJ	CC	_	42	cc	_	_
40	cats	cat	NOUN	NNS	Number=Plur	42	nsubj	_	_
41	also	also	ADV	RB	_	42	advmod	_	_
42	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	30	parataxis	_	_
43	stiff	stiff	ADJ	JJ	Degree=Pos	44	amod	_	_
44	whiskers	whisker	NOUN	NNS	Number=Plur	42	obj	_	_
45	on	on	ADP	IN	_	47	case	_	_
46	the	the	DET	DT	Definite=Def|PronType=Art	47	det	_	_
47	backs	back	NOUN	NNS	Number=Plur	42	obl	_	Agree=R5-strong|Haiku=44:nmod
48	of	of	ADP	IN	_	51	case	_	_
49	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	51	nmod:poss	_	_
50	front	front	ADJ	JJ	Degree=Pos	51	amod	_	_
51	legs	leg	NOUN	NNS	Number=Plur	47	nmod	_	_
52	.	.	PUNCT	.	_	3	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 | Whiskers |  |  |  |  | thick *property* | tree rules |
| 2 | **root** | participle |  |  |  |  |  |  | vn other\_cos-45.4 «NP.patient V»: agent=Patient |
| 3 | **not** **focus** | can | cats |  |  |  |  | close, well *property* | vn focus-87.1 «NP V PP.topic»: agent=Agent |
| 4 | **sweep** | present | the whiskers |  |  |  |  | forward *property* | vn run-51.3.2-1 «NP V»: agent=Theme |
| 5 | **feel** | to-infinitive | the whiskers *not said here* | the prey |  |  |  | for the last few centimetres | vn hunt-35.1 «NP V NP PP.theme»: agent=Agent prey=Location for centimetre=Theme |
| 6 | **have** | present | cats | stiff whiskers |  | the backs of whiskers's front legs |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent whisker=Patient |

<!-- .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:119-how-real-cats-hunt.lesson:11`.

**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 ×3, 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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