---
title: Mate, what kind of dog was Nana, like? — Peter and Wendy, Peter Breaks Through,… · tree and pragmatics
description: Mate, what kind of dog was Nana, like? Test 3 · ★ of lesson 310 «Peter and Wendy, Peter Breaks Through, part 1: the Darlings and their dog nurse Nana» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Test 3 · ★ · Peter and Wendy, Peter Breaks Through, part 1: the Darling…

<!-- .ven lang=en -->
Mate, what kind of dog was Nana, like?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** Mate · **What happens:** be · **To what, where:** Nana

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This is test 3 · ★ of lesson 310 «Peter and Wendy, Peter Breaks Through, part 1: the Darlings and their dog nurse Nana» of the books 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/books/310-pg16-part1/#t3).

## The question {#question}

```conllu
# sent_id = question:books:310-pg16-part1:t3:1
# text = Mate, what kind of dog was Nana, like?
1	Mate	mate	NOUN	NN	Number=Sing	8	nsubj	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	what	what	DET	WDT	PronType=Int	4	det	_	_
4	kind	kind	NOUN	NN	Number=Sing	1	conj	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	dog	dog	NOUN	NN	Number=Sing	4	nmod	_	_
7	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	8	cop	_	_
8	Nana	Nana	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
9	,	,	PUNCT	,	_	10	punct	_	_
10	like	like	ADP	IN	_	8	conj	_	SpaceAfter=No
11	?	?	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | past | Mate and what kind of dog | Nana |  |  |  |  | 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.

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
A massive Newfoundland

```conllu
# sent_id = question:books:310-pg16-part1:t3:o1:1
# text = A massive Newfoundland
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	massive	massive	ADJ	JJ	Degree=Pos	3	amod	_	_
3	Newfoundland	newfoundland	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
A proper big poodle

```conllu
# sent_id = question:books:310-pg16-part1:t3:o2:1
# text = A proper big poodle
1	A	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
2	proper	proper	ADJ	JJ	Degree=Pos	4	amod	_	_
3	big	big	ADJ	JJ	Degree=Pos	4	amod	_	_
4	poodle	poodle	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
A big dog

```conllu
# sent_id = question:books:310-pg16-part1:t3:o3:1
# text = A big dog
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	big	big	ADJ	JJ	Degree=Pos	3	amod	_	_
3	dog	dog	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
A massive Labrador retriever

```conllu
# sent_id = question:books:310-pg16-part1:t3:o4:1
# text = A massive Labrador retriever
1	A	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
2	massive	massive	ADJ	JJ	Degree=Pos	4	amod	_	_
3	Labrador	labrador	NOUN	NN	Number=Sing	4	compound	_	_
4	retriever	retriever	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .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: [Peter and Wendy, Peter Breaks Through,…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/books/310-pg16-part1/t2/)
- next →: [Peter and Wendy, Peter Breaks Through,…, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/books/310-pg16-part1/t4/)
- ↑ back to [Peter and Wendy, Peter Breaks Through, part 1: the Darlings and their dog nurse Nana](https://md.mova.elamur.ai/free/en/corpora/questions/books/310-pg16-part1/)