---
title: Which of the following statements most accurately characterises the… — Olympiad: measure words and characters… · tree and pragmatics
description: Which of the following statements most accurately characterises the composition of the majority of Chinese characters? Exam question 4 of lesson 32 «Olympiad: measure words and characters as pictures ★★★» of the Chinese street course of Mova's primary school, with the dependency tree and pragmatics 
---

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# Exam question 4 · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
Which of the following statements most accurately characterises the composition of the majority of Chinese characters?

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

<!-- .vabout -->
This is exam question 4 of lesson 32 «Olympiad: measure words and characters as pictures ★★★» of the Chinese street 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/chinese-street/32-olympiad-measure-words-and-picture-characters/#e4).

## The question {#question}

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e4:1
# text = Which of the following statements most accurately characterises the composition of the majority of Chinese characters?
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	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
10	composition	composition	NOUN	NN	Number=Sing	8	obj	_	_
11	of	of	ADP	IN	_	13	case	_	_
12	the	the	DET	DT	Definite=Def|PronType=Art	13	det	_	_
13	majority	majority	NOUN	NN	Number=Sing	10	nmod	_	_
14	of	of	ADP	IN	_	16	case	_	_
15	Chinese	Chinese	ADJ	JJ	Degree=Pos	16	amod	_	_
16	characters	character	NOUN	NNS	Number=Plur	13	nmod	_	SpaceAfter=No
17	?	?	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 |  | the composition of the majority of Chinese characters |  |  |  | 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 -->
They are random strokes devised by one emperor

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e4:o1:1
# text = They are random strokes devised by one emperor
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	random	random	ADJ	JJ	Degree=Pos	4	amod	_	_
4	strokes	stroke	NOUN	NNS	Number=Plur	0	root	_	_
5	devised	devise	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	acl	_	_
6	by	by	ADP	IN	_	8	case	_	_
7	one	one	NUM	CD	NumForm=Word|NumType=Card	8	nummod	_	_
8	emperor	emperor	NOUN	NN	Number=Sing	5	obl:agent	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | They | random strokes |  |  |  |  | tree rules |
| 2 | **devise** | participle |  | random strokes *not said here* |  |  |  |  | vn establish-55.5-1 «NP V NP»: agent=Agent |

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

<!-- .ven lang=en -->
They combine a component of meaning with a component of sound

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e4:o2:1
# text = They combine a component of meaning with a component of sound
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	combine	combine	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	component	component	NOUN	NN	Number=Sing	2	obj	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	meaning	meaning	NOUN	NN	Number=Sing	4	nmod	_	_
7	with	with	ADP	IN	_	9	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	component	component	NOUN	NN	Number=Sing	2	obl	_	_
10	of	of	ADP	IN	_	11	case	_	_
11	sound	sound	NOUN	NN	Number=Sing	9	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **combine** | present | They | a component of meaning |  |  |  | with a component of sound | vn mix-22.1-1-1 «NP V NP PP.co-patient»: agent=Agent component=Patient with component=Co-Patient |
| 2 | **compose** |  |  | meaning |  |  |  |  | nom component «cognition transitive»: of=patient |
| 3 | **compose** |  |  | sound |  |  |  |  | nom component «cognition transitive»: of=patient |

### Option 3 · ← Mova's choice {#o3}

<!-- .ven lang=en -->
Each is a picture of the very thing it names

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e4:o3:1
# text = Each is a picture of the very thing it names
1	Each	each	DET	DT	PronType=Tot	4	det	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	picture	picture	NOUN	NN	Number=Sing	0	root	_	_
5	of	of	ADP	IN	_	8	case	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
7	very	very	ADV	RB	_	8	advmod	_	_
8	thing	thing	NOUN	NN	Number=Sing	4	nmod	_	_
9	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
10	names	name	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	acl:relcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present |  | each picture |  |  |  | of the thing | tree rules |
| 2 | **name** | present | thing | the thing *not said here* |  |  |  |  | vn appoint-29.1 «NP V NP»: agent=Agent thing=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
They are letters of an alphabet, like English

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e4:o4:1
# text = They are letters of an alphabet, like English
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	letters	letter	NOUN	NNS	Number=Plur	0	root	_	_
4	of	of	ADP	IN	_	6	case	_	_
5	an	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	alphabet	alphabet	NOUN	NN	Number=Sing	3	nmod	_	SpaceAfter=No
7	,	,	PUNCT	,	_	9	punct	_	_
8	like	like	ADP	IN	_	9	case	_	_
9	English	English	PROPN	NNP	Number=Sing	3	appos	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | They | letters |  |  |  | of a alphabet | tree rules |

<!-- div src -->

**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.

<!-- /div -->

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- ← previous: [Olympiad: measure words and characters…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/e3/)
- next →: [Sounds and letters: how phonics starts, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/english/1-sounds-and-letters-how-phonics-starts/t1/)
- ↑ back to [Olympiad: measure words and characters as pictures ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/)