---
title: ★★★ How many mistakes in: «Their going too the park with there dog»? — Homophones and near-homophones · tree and pragmatics
description: ★★★ How many mistakes in: «Their going too the park with there dog»? Test 10 of lesson 11 «Homophones and near-homophones» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong.
---

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# Test 10 · Homophones and near-homophones

<!-- .ven lang=en -->
★★★ How many mistakes in: «Their going too the park with there dog»?

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**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** mistakes · **What happens:** go · **To what, where:** park

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This is test 10 of lesson 11 «Homophones and near-homophones» of the English 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/english/11-homophones-and-near-homophones/#t10).

## The question {#question}

```conllu
# sent_id = question:english:11-homophones-and-near-homophones:t10:1
# text = ★★★ How many mistakes in: «Their going too the park with there dog»?
1	★	★	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	★	★	X	FW	Foreign=Yes	1	dep	_	SpaceAfter=No
3	★	★	ADP	IN	_	6	case	_	_
4	How	how	ADV	WRB	PronType=Int	5	advmod	_	_
5	many	many	ADJ	JJ	Degree=Pos	6	amod	_	_
6	mistakes	mistake	NOUN	NNS	Number=Plur	1	nmod	_	_
7	in	in	ADP	RP	_	1	compound:prt	_	SpaceAfter=No
8	:	:	PUNCT	:	_	11	punct	_	_
9	«	«	PUNCT	``	_	11	punct	_	SpaceAfter=No
10	Their	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs	11	nsubj	_	_
11	going	go	VERB	VBG	Tense=Pres|VerbForm=Part	1	appos	_	_
12	too	too	ADV	RB	_	14	advmod	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	park	park	NOUN	NN	Number=Sing	11	obl	_	_
15	with	with	ADP	IN	_	17	case	_	_
16	there	their	PRON	PRP$	Case=Gen|Number=Plur|Person=3|Poss=Yes|PronType=Prs|Typo=Yes	17	nmod:poss	_	_
17	dog	dog	NOUN	NN	Number=Sing	11	obl	_	SpaceAfter=No
18	»	»	PUNCT	''	_	11	punct	_	SpaceAfter=No
19	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **go** *in a quote* | gerund | mistakes *= mistake* | the park |  |  |  | with there's dog | vn help-72.1-2 «NP V PP.beneficiary»: agent=Agent with dog=Beneficiary |

<!-- .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 -->
4

```conllu
# sent_id = question:english:11-homophones-and-near-homophones:t10:o1:1
# text = 4
1	4	4	NUM	CD	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
1

```conllu
# sent_id = question:english:11-homophones-and-near-homophones:t10:o2:1
# text = 1
1	1	1	NUM	LS	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
2

```conllu
# sent_id = question:english:11-homophones-and-near-homophones:t10:o3:1
# text = 2
1	2	2	NUM	LS	NumForm=Digit|NumType=Card	0	root	_	_
```

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

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
3

```conllu
# sent_id = question:english:11-homophones-and-near-homophones:t10:o4:1
# text = 3
1	3	3	NUM	CD	NumForm=Digit|NumType=Card	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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