---
title: Which of the following statements most accurately characterises homo… — Homophones: words that sound the same · tree and pragmatics
description: Which of the following statements most accurately characterises homophones? Exam question 1 of lesson 27 «Homophones: words that sound the same» of the language 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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# Exam question 1 · Homophones: words that sound the same

<!-- .ven lang=en -->
Which of the following statements most accurately characterises homophones?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 2 · wrong ✗ · **What happens:** follow, characteris · **To what, where:** homophones

<!-- .vabout -->
This is exam question 1 of lesson 27 «Homophones: words that sound the same» of the language course of Mova's primary school, asked in stiff, formal language. 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/language/27-homophones-words-that-sound-the-same/#e1).

## The question {#question}

```conllu
# sent_id = question:language:27-homophones-words-that-sound-the-same:e1:1
# text = Which of the following statements most accurately characterises homophones?
1	Which	which	PRON	WDT	PronType=Rel	8	nsubj	_	_
2	of	of	ADP	IN	_	5	case	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	following	follow	VERB	VBG	VerbForm=Ger	5	amod	_	_
5	statements	statement	NOUN	NNS	Number=Plur	8	obl	_	_
6	most	most	ADV	RBS	Degree=Sup	7	advmod	_	_
7	accurately	accurately	ADV	RB	_	8	advmod	_	_
8	characterises	characteris	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	homophones	homophone	NOUN	NNS	Number=Plur	8	obj	_	SpaceAfter=No
10	?	?	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **follow** | gerund |  |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=Theme |
| 2 | **characteris** | present |  | homophones |  |  |  | of the following statements; accurately *property* | 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 {#o1}

<!-- .ven lang=en -->
Words of opposite meaning

```conllu
# sent_id = question:language:27-homophones-words-that-sound-the-same:e1:o1:1
# text = Words of opposite meaning
1	Words	word	NOUN	NNS	Number=Plur	0	root	_	_
2	of	of	ADP	IN	_	4	case	_	_
3	opposite	opposite	ADJ	JJ	Degree=Pos	4	amod	_	_
4	meaning	meaning	NOUN	NN	Number=Sing	1	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **word** |  |  | opposite meaning |  |  |  |  | nom word «communication transitive»: of=patient |

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

<!-- .ven lang=en -->
Words identical in pronunciation but differing in meaning and frequently in spelling

```conllu
# sent_id = question:language:27-homophones-words-that-sound-the-same:e1:o2:1
# text = Words identical in pronunciation but differing in meaning and frequently in spelling
1	Words	word	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	identical	identical	ADJ	JJ	Degree=Pos	0	root	_	_
3	in	in	ADP	IN	_	4	case	_	_
4	pronunciation	pronunciation	NOUN	NN	Number=Sing	2	obl	_	_
5	but	but	CCONJ	CC	_	6	cc	_	_
6	differing	differ	VERB	VBG	Tense=Pres|VerbForm=Part	2	conj	_	_
7	in	in	ADP	IN	_	8	case	_	_
8	meaning	meaning	NOUN	NN	Number=Sing	6	obl	_	_
9	and	and	CCONJ	CC	_	10	cc	_	_
10	frequently	frequently	ADV	RB	_	2	conj	_	_
11	in	in	ADP	IN	_	12	case	_	_
12	spelling	spelling	NOUN	NN	Number=Sing	10	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **differ** | gerund |  |  |  | meaning |  |  | vn correspond-36.1 «NP V»: agent=Agent |

### Option 3 · ← Mova's choice {#o3}

<!-- .ven lang=en -->
Words identical in spelling and meaning

```conllu
# sent_id = question:language:27-homophones-words-that-sound-the-same:e1:o3:1
# text = Words identical in spelling and meaning
1	Words	word	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	identical	identical	ADJ	JJ	Degree=Pos	0	root	_	_
3	in	in	ADP	IN	_	4	case	_	_
4	spelling	spelling	NOUN	NN	Number=Sing	2	obl	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	meaning	meaning	NOUN	NN	Number=Sing	4	conj	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Words borrowed unaltered from French

```conllu
# sent_id = question:language:27-homophones-words-that-sound-the-same:e1:o4:1
# text = Words borrowed unaltered from French
1	Words	word	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	borrowed	borrow	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	unaltered	unaltered	ADJ	JJ	Degree=Pos	2	xcomp	_	_
4	from	from	ADP	IN	_	5	case	_	_
5	French	French	PROPN	NNP	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **borrow** | past | Words |  |  | French |  | unaltered *property* | vn obtain-13.5.2 «NP V NP PP.source»: agent=Agent from french=Source |

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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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