---
title: Dalmatian puppies are born white, their spots appear after about two… — Paw Patrol: real police, fire, rescue and sniffe… · tree and pragmatics
description: Dalmatian puppies are born white, their spots appear after about two weeks and keep filling in for months, and many Dalmatians are deaf in one or both ears, linked to the genes that make them so white. Who acts: spots, many Dalmatians, genes. A sentence of the lesson «Paw Patrol: real police, fire, 
---

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# Paw Patrol: real police, fire, rescue and sniffer dogs, sentence 9

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Dalmatian puppies are born white, their spots appear after about two weeks and keep filling in for months, and many Dalmatians are deaf in one or both ears, linked to the genes that make them so white.

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**Who acts:** spots, many Dalmatians, genes · **What happens:** bear, appear, keep, fill in, be, link · **To what, where:** Dalmatian puppies, Dalmatians

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This is a sentence of the lesson «Paw Patrol: real police, fire, rescue and sniffer dogs» 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 (spots, many Dalmatians, genes), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:140-paw-patrol-real-working-dogs.lesson:9
# text = Dalmatian puppies are born white, their spots appear after about two weeks and keep filling in for months, and many Dalmatians are deaf in one or both ears, linked to the genes that make them so white.
# source = school lesson (ours)
# course = biology
# lesson = 140-paw-patrol-real-working-dogs.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, R6-punct-agree ×1, R7-rel-agree ×1, R8-pos-agree ×1
1	Dalmatian	dalmatian	ADJ	JJ	Degree=Pos	2	amod	_	_
2	puppies	puppy	NOUN	NNS	Number=Plur	4	nsubj:pass	_	_
3	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
4	born	bear	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	Agree=R5-strong|Haiku=9:parataxis
5	white	white	ADJ	JJ	Degree=Pos	4	xcomp	_	_
6	,	,	PUNCT	,	_	4	punct	_	_
7	their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	8	nmod:poss	_	_
8	spots	spot	NOUN	NNS	Number=Plur	9	nsubj	_	_
9	appear	appear	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	parataxis	_	Agree=R5-strong|Haiku=0:root
10	after	after	ADP	IN	_	13	case	_	_
11	about	about	ADV	RB	_	12	advmod	_	_
12	two	two	NUM	CD	NumForm=Word|NumType=Card	13	nummod	_	_
13	weeks	week	NOUN	NNS	Number=Plur	9	obl	_	_
14	and	and	CCONJ	CC	_	15	cc	_	_
15	keep	keep	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	9	conj	_	Agree=R8-pos-agree|Haiku=9:conj|HaikuPos=VERB:VB:VerbForm=Inf
16	filling	fill	VERB	VBG	VerbForm=Ger	15	xcomp	_	_
17	in	in	ADP	RP	_	16	compound:prt	_	_
18	for	for	ADP	IN	_	19	case	_	_
19	months	month	NOUN	NNS	Number=Plur	16	obl	_	_
20	,	,	PUNCT	,	_	25	punct	_	_
21	and	and	CCONJ	CC	_	25	cc	_	_
22	many	many	ADJ	JJ	Degree=Pos	23	amod	_	_
23	Dalmatians	dalmatian	PROPN	NNPS	Number=Plur	25	nsubj	_	_
24	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	25	cop	_	_
25	deaf	deaf	ADJ	JJ	Degree=Pos	9	parataxis	_	_
26	in	in	ADP	IN	_	27	case	_	_
27	one	one	NUM	CD	NumForm=Word|NumType=Card	25	obl	_	_
28	or	or	CCONJ	CC	_	30	cc	_	_
29	both	both	DET	DT	PronType=Tot	30	det	_	_
30	ears	ear	NOUN	NNS	Number=Plur	25	conj	_	_
31	,	,	PUNCT	,	_	32	punct	_	_
32	linked	link	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	25	advcl	_	Agree=R7-rel-agree|Haiku=25:conj
33	to	to	ADP	IN	_	35	case	_	_
34	the	the	DET	DT	Definite=Def|PronType=Art	35	det	_	_
35	genes	gene	NOUN	NNS	Number=Plur	32	obl	_	_
36	that	that	PRON	WDT	PronType=Rel	37	nsubj	_	_
37	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	35	acl:relcl	_	_
38	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	37	obj	_	_
39	so	so	ADV	RB	_	40	advmod	_	_
40	white	white	ADJ	JJ	Degree=Pos	37	xcomp	_	_
41	.	.	PUNCT	.	_	4	punct	_	Agree=R6-punct-agree|Haiku=9:punct
```

## Pragmatics {#pragmatics}

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- 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 | **bear** | present · passive |  | Dalmatian puppies |  |  |  | white *property* | vn birth-28.2-1-1 «NP V NP»: subject=Patient |
| 2 | **appear** | present | puppies's spots |  |  |  | week |  | vn appear-48.1.1 «NP V»: agent=Theme |
| 3 | **keep** | present | puppies's spots *not said here* |  |  |  |  |  | tree rules |
| 4 | **fill in** | gerund | puppies's spots *not said here* |  |  |  | month |  | vn other\_cos-45.4 «NP.patient V»: agent=Patient |
| 5 | **is** | present | many Dalmatians |  |  |  |  | in one; deaf *property* | tree rules |
| 6 | **link** | participle | many Dalmatians *not said here* |  |  |  |  | to the genes | vn mix-22.1-2-1 «NP V PP.patient»: agent=Patient to gene=Co-Patient |
| 7 | **make** | present | the genes | Dalmatians *= dalmatian* |  |  |  | white *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset they=Product |

<!-- .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:140-paw-patrol-real-working-dogs.lesson:9`.

**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, R6-punct-agree ×1, R7-rel-agree ×1, R8-pos-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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