---
title: Sniffer dogs are trained to find particular smells such as drugs, fo… — Working dogs: guide, sniffer, sheep, rescue and… · tree and pragmatics
description: Sniffer dogs are trained to find particular smells such as drugs, food or explosives, and beagles are often used at airports because they are friendly and have excellent noses. Who acts: Sniffer dogs, dogs. A sentence of the lesson «Working dogs: guide, sniffer, sheep, rescue and helper dogs» of the
---

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# Working dogs: guide, sniffer, sheep, rescue and helper dogs, sentence 6

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Sniffer dogs are trained to find particular smells such as drugs, food or explosives, and beagles are often used at airports because they are friendly and have excellent noses.

<!-- .vintro -->
**Who acts:** Sniffer dogs, dogs · **What happens:** train, find, use, be, have · **To what, where:** Sniffer dogs, particular smells, beagles, airports, excellent noses

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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 (Sniffer dogs, dogs), 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:6
# text = Sniffer dogs are trained to find particular smells such as drugs, food or explosives, and beagles are often used at airports because they are friendly and have excellent noses.
# 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): R3-conj-first ×1
1	Sniffer	sniffer	NOUN	NN	Number=Sing	2	compound	_	_
2	dogs	dog	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	trained	train	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	to	to	PART	TO	_	6	mark	_	_
6	find	find	VERB	VB	VerbForm=Inf	4	xcomp	_	_
7	particular	particular	ADJ	JJ	Degree=Pos	8	amod	_	_
8	smells	smell	NOUN	NNS	Number=Plur	6	obj	_	_
9	such	such	ADJ	JJ	Degree=Pos|ExtPos=ADP	11	case	_	_
10	as	as	ADP	IN	_	9	fixed	_	_
11	drugs	drug	NOUN	NNS	Number=Plur	8	nmod	_	_
12	,	,	PUNCT	,	_	13	punct	_	_
13	food	food	NOUN	NN	Number=Sing	11	conj	_	_
14	or	or	CCONJ	CC	_	15	cc	_	_
15	explosives	explosive	NOUN	NNS	Number=Plur	11	conj	_	Agree=R3-conj-first|Haiku=13:conj
16	,	,	PUNCT	,	_	21	punct	_	_
17	and	and	CCONJ	CC	_	21	cc	_	_
18	beagles	beagle	NOUN	NNS	Number=Plur	21	nsubj:pass	_	_
19	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	21	aux:pass	_	_
20	often	often	ADV	RB	_	21	advmod	_	_
21	used	use	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	conj	_	_
22	at	at	ADP	IN	_	23	case	_	_
23	airports	airport	NOUN	NNS	Number=Plur	21	obl	_	_
24	because	because	SCONJ	IN	_	27	mark	_	_
25	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	27	nsubj	_	_
26	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	27	cop	_	_
27	friendly	friendly	ADJ	JJ	Degree=Pos	21	advcl	_	_
28	and	and	CCONJ	CC	_	29	cc	_	_
29	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	27	conj	_	_
30	excellent	excellent	ADJ	JJ	Degree=Pos	31	amod	_	_
31	noses	nose	NOUN	NNS	Number=Plur	29	obj	_	_
32	.	.	PUNCT	.	_	4	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- 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 | **train** | present · passive |  | Sniffer dogs |  |  |  |  | vn hire-13.5.3 «NP V NP to be NP»: subject=Theme clause=Attribute |
| 2 | **find** | to-infinitive | Sniffer dogs *not said here* | particular smells |  |  |  | such drugs and food or explosives | vn discover-84 «NP V NP»: agent=Agent smell=Topic |
| 3 | **use** | present · passive |  | beagles |  | airports |  | often *property* | vn eat-39.1 «NP V NP»: subject=Patient |
| 4 | **is** | present | dogs *= dog* |  |  |  |  | friendly *property* | tree rules |
| 5 | **have** | present | dogs *= dog* *not said here* | excellent noses |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent nose=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:196-working-dogs-guide-sniffer-sheep-rescue-and-helper-dogs.lesson:6`.

**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. **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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