---
title: Count them: at the dog show a sheepdog, a terrier, a retriever and a… — Dogs: from wolves to hundreds of breeds · tree and pragmatics
description: Count them: at the dog show a sheepdog, a terrier, a retriever and a hound line up. How many legs and how many tails? Test 2 · ★★ of lesson 192 «Dogs: from wolves to hundreds of breeds» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of eac
---

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# Test 2 · ★★ · Dogs: from wolves to hundreds of breeds

<!-- .ven lang=en -->
Count them: at the dog show a sheepdog, a terrier, a retriever and a hound line up. How many legs and how many tails?

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**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** you · **What happens:** count, show up · **To what, where:** them, sheepdog

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This is test 2 · ★★ of lesson 192 «Dogs: from wolves to hundreds of breeds» of the biology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/biology/192-dogs-from-wolves-to-hundreds-of-breeds/#t2).

## The question {#question}

<!-- .note -->
*Sentence 1:* Count them: at the dog show a sheepdog, a terrier, a retriever and a hound line up.

```conllu
# sent_id = question:biology:192-dogs-from-wolves-to-hundreds-of-breeds:t2:1
# text = Count them: at the dog show a sheepdog, a terrier, a retriever and a hound line up.
1	Count	count	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	1	obj	_	SpaceAfter=No
3	:	:	PUNCT	:	_	7	punct	_	_
4	at	at	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	dog	dog	NOUN	NN	Number=Sing	7	obl	_	_
7	show	show	VERB	VB	Mood=Imp|VerbForm=Fin	1	parataxis	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	sheepdog	sheepdog	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
10	,	,	PUNCT	,	_	12	punct	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
12	terrier	terrier	NOUN	NN	Number=Sing	9	conj	_	SpaceAfter=No
13	,	,	PUNCT	,	_	15	punct	_	_
14	a	a	DET	DT	Definite=Ind|PronType=Art	15	det	_	_
15	retriever	retriever	NOUN	NN	Number=Sing	9	conj	_	_
16	and	and	CCONJ	CC	_	19	cc	_	_
17	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
18	hound	hound	NOUN	NN	Number=Sing	19	compound	_	_
19	line	line	NOUN	NN	Number=Sing	9	conj	_	_
20	up	up	ADP	RP	_	7	compound:prt	_	SpaceAfter=No
21	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **count** | imperative | you *not said here* | them *= they* |  |  |  |  | vn multiply-108 «NP V NP»: agent=Agent they=Theme |
| 2 | **show up** | infinitive |  | a sheepdog and a terrier and a retriever and a hound line |  |  |  | at the dog | vn appear-48.1.1 «PP.location V NP»: agent=Location sheepdog=Theme |

<!-- .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.

<!-- .note -->
*Sentence 2:* How many legs and how many tails?

```conllu
# sent_id = question:biology:192-dogs-from-wolves-to-hundreds-of-breeds:t2:2
# text = How many legs and how many tails?
1	How	how	ADV	WRB	PronType=Int	2	advmod	_	_
2	many	many	ADJ	JJ	Degree=Pos	3	amod	_	_
3	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
4	and	and	CCONJ	CC	_	7	cc	_	_
5	how	how	ADV	WRB	PronType=Int	6	advmod	_	_
6	many	many	ADJ	JJ	Degree=Pos	7	amod	_	_
7	tails	tail	NOUN	NNS	Number=Plur	3	conj	_	SpaceAfter=No
8	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
12 legs and 4 tails

```conllu
# sent_id = question:biology:192-dogs-from-wolves-to-hundreds-of-breeds:t2:o1:1
# text = 12 legs and 4 tails
1	12	12	NUM	CD	NumForm=Digit|NumType=Card	2	nummod	_	_
2	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
3	and	and	CCONJ	CC	_	5	cc	_	_
4	4	4	NUM	CD	NumForm=Digit|NumType=Card	5	nummod	_	_
5	tails	tail	NOUN	NNS	Number=Plur	2	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
16 legs and 4 tails

```conllu
# sent_id = question:biology:192-dogs-from-wolves-to-hundreds-of-breeds:t2:o2:1
# text = 16 legs and 4 tails
1	16	16	NUM	CD	NumForm=Digit|NumType=Card	2	nummod	_	_
2	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
3	and	and	CCONJ	CC	_	5	cc	_	_
4	4	4	NUM	CD	NumForm=Digit|NumType=Card	5	nummod	_	_
5	tails	tail	NOUN	NNS	Number=Plur	2	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 3 {#o3}

<!-- .ven lang=en -->
20 legs and 4 tails

```conllu
# sent_id = question:biology:192-dogs-from-wolves-to-hundreds-of-breeds:t2:o3:1
# text = 20 legs and 4 tails
1	20	20	NUM	CD	NumForm=Digit|NumType=Card	2	nummod	_	_
2	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
3	and	and	CCONJ	CC	_	5	cc	_	_
4	4	4	NUM	CD	NumForm=Digit|NumType=Card	5	nummod	_	_
5	tails	tail	NOUN	NNS	Number=Plur	2	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 4 {#o4}

<!-- .ven lang=en -->
16 legs and 8 tails

```conllu
# sent_id = question:biology:192-dogs-from-wolves-to-hundreds-of-breeds:t2:o4:1
# text = 16 legs and 8 tails
1	16	16	NUM	CD	NumForm=Digit|NumType=Card	2	nummod	_	_
2	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
3	and	and	CCONJ	CC	_	5	cc	_	_
4	8	8	NUM	CD	NumForm=Digit|NumType=Card	5	nummod	_	_
5	tails	tail	NOUN	NNS	Number=Plur	2	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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- ← previous: [Dogs: from wolves to hundreds of breeds, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/biology/192-dogs-from-wolves-to-hundreds-of-breeds/t1/)
- next →: [Dogs: from wolves to hundreds of breeds, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/biology/192-dogs-from-wolves-to-hundreds-of-breeds/t3/)
- ↑ back to [Dogs: from wolves to hundreds of breeds](https://md.mova.elamur.ai/free/en/corpora/questions/biology/192-dogs-from-wolves-to-hundreds-of-breeds/)