---
title: Husky teams pull sleds across snow, and sled dog races in Alaska run… — Working dogs: guide, sniffer, sheep, rescue and… · tree and pragmatics
description: Husky teams pull sleds across snow, and sled dog races in Alaska run for more than a thousand kilometres. Who acts: Husky teams, sled dog races. A sentence of the lesson «Working dogs: guide, sniffer, sheep, rescue and helper dogs» of the biology course of Mova's primary school with its dependency t
---

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# Working dogs: guide, sniffer, sheep, rescue and helper dogs, sentence 10

<!-- .ven lang=en -->
Husky teams pull sleds across snow, and sled dog races in Alaska run for more than a thousand kilometres.

<!-- .vintro -->
**Who acts:** Husky teams, sled dog races · **What happens:** pull, run · **To what, where:** sleds, snow

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This is a sentence of the lesson «Working dogs: guide, sniffer, sheep, rescue and helper 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 (Husky teams, sled dog races), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs.lesson:10
# text = Husky teams pull sleds across snow, and sled dog races in Alaska run for more than a thousand kilometres.
# source = school lesson (ours)
# course = biology
# lesson = 196-working-dogs-guide-sniffer-sheep-rescue-and-helper-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): R2-punct-next ×1, R5-strong ×2
1	Husky	husky	ADJ	JJ	Degree=Pos	2	amod	_	_
2	teams	team	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	pull	pull	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	sleds	sled	NOUN	NNS	Number=Plur	3	obj	_	_
5	across	across	ADP	IN	_	6	case	_	_
6	snow	snow	NOUN	NN	Number=Sing	3	obl	_	Agree=R5-strong|Haiku=4:nmod
7	,	,	PUNCT	,	_	14	punct	_	Agree=R2-punct-next|Haiku=3:punct
8	and	and	CCONJ	CC	_	14	cc	_	_
9	sled	sled	NOUN	NN	Number=Sing	11	compound	_	_
10	dog	dog	NOUN	NN	Number=Sing	11	compound	_	_
11	races	race	NOUN	NNS	Number=Plur	14	nsubj	_	_
12	in	in	ADP	IN	_	14	case	_	_
13	Alaska	Alaska	PROPN	NNP	Number=Sing	11	nmod	_	_
14	run	run	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
15	for	for	ADP	IN	_	20	case	_	_
16	more	more	ADJ	JJR	Degree=Cmp|ExtPos=ADV	19	advmod	_	_
17	than	than	ADP	IN	_	16	fixed	_	_
18	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
19	thousand	thousand	NUM	CD	NumForm=Word|NumType=Card	20	nummod	_	_
20	kilometres	kilometre	NOUN	NNS	Number=Plur	14	obl	_	Agree=R5-strong|Haiku=3:obl
21	.	.	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 | **pull** | present | Husky teams | sleds |  | snow |  |  | vn push-12-1 «NP V NP»: agent=Agent sled=Theme |
| 2 | **run** | present | sled dog races  Alaska |  |  |  |  | for thousand kilometres | vn preparing-26.3-1 «NP V NP PP.beneficiary»: agent=Agent for kilometre=Beneficiary |

<!-- .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:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs.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): R2-punct-next ×1, R5-strong ×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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