---
title: Keepers tell animals apart by marks, scars, shape and behaviour, whi… — Behind the scenes: a day with the keepers · tree and pragmatics
description: Keepers tell animals apart by marks, scars, shape and behaviour, which helps them see who is ill, who is boss and who needs extra care, and some animals also have tiny microchips under the skin, like pet dogs. Who acts: Keepers, shape, boss, animals. A sentence of the lesson «Behind the scenes: a da
---

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# Behind the scenes: a day with the keepers, sentence 10

<!-- .ven lang=en -->
Keepers tell animals apart by marks, scars, shape and behaviour, which helps them see who is ill, who is boss and who needs extra care, and some animals also have tiny microchips under the skin, like pet dogs.

<!-- .vintro -->
**Who acts:** Keepers, shape, boss, animals · **What happens:** tell, help, see, be, need, have · **To what, where:** animals, keepers, boss, extra care, tiny microchips, skin · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «Behind the scenes: a day with the keepers» 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 (Keepers, shape, boss, animals), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:109-behind-the-scenes-a-day-with-the-keepers.lesson:10
# text = Keepers tell animals apart by marks, scars, shape and behaviour, which helps them see who is ill, who is boss and who needs extra care, and some animals also have tiny microchips under the skin, like pet dogs.
# source = school lesson (ours)
# course = biology
# lesson = 109-behind-the-scenes-a-day-with-the-keepers.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): R3-conj-first ×1, R7-rel-agree ×1
1	Keepers	keeper	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	tell	tell	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	animals	animal	NOUN	NNS	Number=Plur	2	obj	_	_
4	apart	apart	ADV	RB	_	2	advmod	_	_
5	by	by	ADP	IN	_	6	case	_	_
6	marks	mark	NOUN	NNS	Number=Plur	2	obl	_	_
7	,	,	PUNCT	,	_	8	punct	_	_
8	scars	scar	NOUN	NNS	Number=Plur	6	conj	_	_
9	,	,	PUNCT	,	_	10	punct	_	_
10	shape	shape	NOUN	NN	Number=Sing	6	conj	_	_
11	and	and	CCONJ	CC	_	12	cc	_	_
12	behaviour	behaviour	NOUN	NN	Number=Sing	6	conj	_	Agree=R3-conj-first|Haiku=10:conj
13	,	,	PUNCT	,	_	15	punct	_	_
14	which	which	PRON	WDT	PronType=Rel	15	nsubj	_	_
15	helps	help	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	10	acl:relcl	_	_
16	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	15	obj	_	_
17	see	see	VERB	VB	VerbForm=Inf	15	xcomp	_	_
18	who	who	PRON	WP	PronType=Rel	20	nsubj	_	_
19	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	20	cop	_	_
20	ill	ill	ADJ	JJ	Degree=Pos	17	ccomp	_	_
21	,	,	PUNCT	,	_	24	punct	_	_
22	who	who	PRON	WP	PronType=Rel	24	nsubj	_	_
23	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	cop	_	_
24	boss	boss	NOUN	NN	Number=Sing	17	parataxis	_	_
25	and	and	CCONJ	CC	_	27	cc	_	_
26	who	who	PRON	WP	PronType=Rel	27	nsubj	_	_
27	needs	need	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	conj	_	Agree=R7-rel-agree|Haiku=24:acl:relcl
28	extra	extra	ADJ	JJ	Degree=Pos	29	amod	_	_
29	care	care	NOUN	NN	Number=Sing	27	obj	_	_
30	,	,	PUNCT	,	_	35	punct	_	_
31	and	and	CCONJ	CC	_	35	cc	_	_
32	some	some	DET	DT	PronType=Ind	33	det	_	_
33	animals	animal	NOUN	NNS	Number=Plur	35	nsubj	_	_
34	also	also	ADV	RB	_	35	advmod	_	_
35	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
36	tiny	tiny	ADJ	JJ	Degree=Pos	37	amod	_	_
37	microchips	microchip	NOUN	NNS	Number=Plur	35	obj	_	_
38	under	under	ADP	IN	_	40	case	_	_
39	the	the	DET	DT	Definite=Def|PronType=Art	40	det	_	_
40	skin	skin	NOUN	NN	Number=Sing	35	obl	_	_
41	,	,	PUNCT	,	_	44	punct	_	_
42	like	like	ADP	IN	_	44	case	_	_
43	pet	pet	NOUN	NN	Number=Sing	44	compound	_	_
44	dogs	dog	NOUN	NNS	Number=Plur	35	obl	_	_
45	.	.	PUNCT	.	_	2	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 | **tell** *speech: assert* | present | Keepers |  | animals |  |  | by marks and scars and shape and behaviour; apart *property* | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent animal=Recipient |
| 2 | **help** | present | shape | keepers *= keeper* |  |  |  |  | vn help-72.1-1-1 «NP V NP S\_INF»: agent=Agent they=Beneficiary clause=Theme |
| 3 | **see** | infinitive | keepers *= keeper* *not said here* |  |  |  |  |  | vn comprehend-87.2-1-1 «NP V»: agent=Experiencer |
| 4 | **is** | present |  |  |  |  |  | ill *property* | tree rules |
| 5 | **is a** | present |  | boss |  |  |  |  | tree rules |
| 6 | **need** | present | boss | extra care |  |  |  |  | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot care=Theme |
| 7 | **have** | present | some animals | tiny microchips |  | the skin |  | like pet dogs | vn birth-28.2-1 «NP V NP»: agent=Agent microchip=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:109-behind-the-scenes-a-day-with-the-keepers.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): R3-conj-first ×1, R7-rel-agree ×1. **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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