---
title: Labradors were bred to fetch from water, with a thick waterproof coa… — Dogs: from wolves to hundreds of breeds · tree and pragmatics
description: Labradors were bred to fetch from water, with a thick waterproof coat and a thick otter-like tail used as a rudder. A sentence of the lesson «Dogs: from wolves to hundreds of breeds» of the biology course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# Dogs: from wolves to hundreds of breeds, sentence 13

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Labradors were bred to fetch from water, with a thick waterproof coat and a thick otter-like tail used as a rudder.

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**What happens:** breed, fetch, use · **To what, where:** Labradors, water, thick like tail

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This is a sentence of the lesson «Dogs: from wolves to hundreds of breeds» 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: what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:192-dogs-from-wolves-to-hundreds-of-breeds.lesson:13
# text = Labradors were bred to fetch from water, with a thick waterproof coat and a thick otter-like tail used as a rudder.
# source = school lesson (ours)
# course = biology
# lesson = 192-dogs-from-wolves-to-hundreds-of-breeds.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): no change
1	Labradors	labrador	NOUN	NNS	Number=Plur	3	nsubj:pass	_	_
2	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	3	aux:pass	_	_
3	bred	breed	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	to	to	PART	TO	_	5	mark	_	_
5	fetch	fetch	VERB	VB	VerbForm=Inf	3	xcomp	_	_
6	from	from	ADP	IN	_	7	case	_	_
7	water	water	NOUN	NN	Number=Sing	5	obl	_	_
8	,	,	PUNCT	,	_	13	punct	_	_
9	with	with	ADP	IN	_	13	case	_	_
10	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
11	thick	thick	ADJ	JJ	Degree=Pos	13	amod	_	_
12	waterproof	waterproof	ADJ	JJ	Degree=Pos	13	amod	_	_
13	coat	coat	NOUN	NN	Number=Sing	5	obl	_	_
14	and	and	CCONJ	CC	_	20	cc	_	_
15	a	a	DET	DT	Definite=Ind|PronType=Art	20	det	_	_
16	thick	thick	ADJ	JJ	Degree=Pos	20	amod	_	_
17	otter	otter	NOUN	NN	Number=Sing	19	compound	_	_
18	-	-	PUNCT	HYPH	_	19	punct	_	_
19	like	like	ADJ	JJ	Degree=Pos	20	amod	_	_
20	tail	tail	NOUN	NN	Number=Sing	13	conj	_	_
21	used	use	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	20	acl	_	_
22	as	as	ADP	IN	_	24	case	_	_
23	a	a	DET	DT	Definite=Ind|PronType=Art	24	det	_	_
24	rudder	rudder	NOUN	NN	Number=Sing	21	obl	_	_
25	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **breed** | past · passive |  | Labradors |  |  |  |  | tree rules |
| 2 | **fetch** | to-infinitive |  |  |  | water |  | with a thick waterproof coat and a thick like tail | vn get-13.5.1-1 «NP V NP PP.source»: agent=Agent from water=Source |
| 3 | **use** | participle |  | a thick like tail *not said here* |  |  |  | as a rudder | vn eat-39.1 «NP V»: agent=Agent |

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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:192-dogs-from-wolves-to-hundreds-of-breeds.lesson:13`.

**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): no change. **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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