---
title: How did the kennel get to his office, bruv? — Peter Pan, Peter Pan and Wendy, part 2… · tree and pragmatics
description: How did the kennel get to his office, bruv? Test 4 · ★ of lesson 337 «Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks in the kennel; Peter bars the window» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choi
---

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# Test 4 · ★ · Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks…

<!-- .ven lang=en -->
How did the kennel get to his office, bruv?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** kennel · **What happens:** get

<!-- .vabout -->
This is test 4 · ★ of lesson 337 «Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks in the kennel; Peter bars the window» 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/337-pg16-part28/#t4).

## The question {#question}

```conllu
# sent_id = question:books:337-pg16-part28:t4:1
# text = How did the kennel get to his office, bruv?
1	How	how	ADV	WRB	PronType=Int	5	advmod	_	_
2	did	do	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	5	aux	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	kennel	kennel	NOUN	NN	Number=Sing	5	nsubj	_	_
5	get	get	VERB	VB	VerbForm=Inf	0	root	_	_
6	to	to	ADP	IN	_	8	case	_	_
7	his	his	PRON	PRP$	Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs	8	nmod:poss	_	_
8	office	office	NOUN	NN	Number=Sing	5	obl	_	SpaceAfter=No
9	,	,	PUNCT	,	_	10	punct	_	_
10	bruv	bruv	NOUN	NN	Number=Sing	8	conj	_	SpaceAfter=No
11	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **get** | past · do-support | the kennel |  |  |  |  | to kennel's office and bruv *result* | vn convert-26.6.2 «NP V S\_ING»: agent=Patient to office=Result |

<!-- .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 {#o1}

<!-- .ven lang=en -->
On foot

```conllu
# sent_id = question:books:337-pg16-part28:t4:o1:1
# text = On foot
1	On	on	ADP	IN	_	2	case	_	_
2	foot	foot	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
Walk

```conllu
# sent_id = question:books:337-pg16-part28:t4:o2:1
# text = Walk
1	Walk	walk	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **walk** | imperative | you *not said here* |  |  |  |  |  | vn run-51.3.2-2-1 «NP V»: agent=Theme |

### Option 3 · ✓ the right answer {#o3}

<!-- .ven lang=en -->
By cab

```conllu
# sent_id = question:books:337-pg16-part28:t4:o3:1
# text = By cab
1	By	by	ADP	IN	_	2	case	_	_
2	cab	cab	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
By train

```conllu
# sent_id = question:books:337-pg16-part28:t4:o4:1
# text = By train
1	By	by	ADP	IN	_	2	case	_	_
2	train	train	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 Pan, Peter Pan and Wendy, part 2…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/t3/)
- next →: [Peter Pan, Peter Pan and Wendy, part 2…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/t5/)
- ↑ back to [Peter Pan, Peter Pan and Wendy, part 28: Mr. Darling sulks in the kennel; Peter bars the window](https://md.mova.elamur.ai/free/en/corpora/questions/books/337-pg16-part28/)

