---
title: Dogs are trained to smell ivory and rhino horn at airports and in pa… — Conservation heroes: Attenborough, Goodall, Cars… · tree and pragmatics
description: Dogs are trained to smell ivory and rhino horn at airports and in parks, and some find tiny rare animals for scientists; a dog's nose is thousands of times better than ours. Who acts: Dogs, some, nose. A sentence of the lesson «Conservation heroes: Attenborough, Goodall, Carson, Maathai and the rang
---

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# Conservation heroes: Attenborough, Goodall, Carson, Maathai and the rangers, sentence 11

<!-- .ven lang=en -->
Dogs are trained to smell ivory and rhino horn at airports and in parks, and some find tiny rare animals for scientists; a dog's nose is thousands of times better than ours.

<!-- .vintro -->
**Who acts:** Dogs, some, nose · **What happens:** train, smell, find, be · **To what, where:** Dogs, ivory, airports, tiny rare animals, thousands

<!-- .vabout -->
This is a sentence of the lesson «Conservation heroes: Attenborough, Goodall, Carson, Maathai and the rangers» 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 (Dogs, some, nose), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:284-conservation-heroes-attenborough-goodall-carson-maathai-and-the-rangers.lesson:11
# text = Dogs are trained to smell ivory and rhino horn at airports and in parks, and some find tiny rare animals for scientists; a dog's nose is thousands of times better than ours.
# source = school lesson (ours)
# course = biology
# lesson = 284-conservation-heroes-attenborough-goodall-carson-maathai-and-the-rangers.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 ×1, R8-pos-agree ×1
1	Dogs	dog	NOUN	NNS	Number=Plur	3	nsubj:pass	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	aux:pass	_	_
3	trained	train	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	to	to	PART	TO	_	5	mark	_	_
5	smell	smell	VERB	VB	VerbForm=Inf	3	xcomp	_	_
6	ivory	ivory	NOUN	NN	Number=Sing	5	obj	_	_
7	and	and	CCONJ	CC	_	9	cc	_	_
8	rhino	rhino	NOUN	NN	Number=Sing	9	compound	_	_
9	horn	horn	NOUN	NN	Number=Sing	6	conj	_	_
10	at	at	ADP	IN	_	11	case	_	_
11	airports	airport	NOUN	NNS	Number=Plur	5	obl	_	_
12	and	and	CCONJ	CC	_	14	cc	_	_
13	in	in	ADP	IN	_	14	case	_	_
14	parks	park	NOUN	NNS	Number=Plur	11	conj	_	_
15	,	,	PUNCT	,	_	18	punct	_	_
16	and	and	CCONJ	CC	_	18	cc	_	_
17	some	some	DET	DT	PronType=Ind	18	nsubj	_	Agree=R8-pos-agree|Haiku=18:nsubj|HaikuPos=PRON:DT:PronType=Ind
18	find	find	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
19	tiny	tiny	ADJ	JJ	Degree=Pos	21	amod	_	_
20	rare	rare	ADJ	JJ	Degree=Pos	21	amod	_	_
21	animals	animal	NOUN	NNS	Number=Plur	18	obj	_	_
22	for	for	ADP	IN	_	23	case	_	_
23	scientists	scientist	NOUN	NNS	Number=Plur	18	obl	_	Agree=R5-strong|Haiku=21:nmod
24	;	;	PUNCT	,	_	30	punct	_	_
25	a	a	DET	DT	Definite=Ind|PronType=Art	26	det	_	_
26	dog	dog	NOUN	NN	Number=Sing	28	nmod:poss	_	_
27	's	's	PART	POS	_	26	case	_	_
28	nose	nose	NOUN	NN	Number=Sing	30	nsubj	_	_
29	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	30	cop	_	_
30	thousands	thousand	NOUN	NNS	Number=Plur	3	conj	_	_
31	of	of	ADP	IN	_	32	case	_	_
32	times	time	NOUN	NNS	Number=Plur	30	nmod	_	_
33	better	good	ADJ	JJR	Degree=Cmp	30	amod	_	_
34	than	than	ADP	IN	_	35	case	_	_
35	ours	our	PRON	PRP	Number=Plur|Person=1|Poss=Yes|PronType=Prs	33	obl	_	_
36	.	.	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 | **train** | present · passive |  | Dogs |  |  |  |  | vn hire-13.5.3 «NP V NP to be NP»: subject=Theme clause=Attribute |
| 2 | **smell** | to-infinitive | Dogs *not said here* | ivory and rhino horn |  | airports and parks |  |  | vn stalk-35.3 «NP V NP PP.location»: agent=Agent ivory=Theme at airport=Location |
| 3 | **find** | present | some | tiny rare animals |  |  |  | for scientists | vn get-13.5.1 «NP V NP PP.beneficiary»: agent=Agent animal=Theme for scientist=Beneficiary |
| 4 | **is a** | present | a dog's nose | thousands |  |  | time |  | tree rules |

<!-- .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:284-conservation-heroes-attenborough-goodall-carson-maathai-and-the-rangers.lesson:11`.

**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 ×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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