---
title: Determine the number of persons denoted by the utterance «wǒ jiā yǒu… — Olympiad: measure words and characters… · tree and pragmatics
description: Determine the number of persons denoted by the utterance «wǒ jiā yǒu sān kǒu rén». Exam question 3 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 of the question and of each option; 
---

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# Exam question 3 · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
Determine the number of persons denoted by the utterance «wǒ jiā yǒu sān kǒu rén».

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** you · **What happens:** determine, denote · **To what, where:** number, persons

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This is exam question 3 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/#e3).

## The question {#question}

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e3:1
# text = Determine the number of persons denoted by the utterance «wǒ jiā yǒu sān kǒu rén».
1	Determine	determine	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	number	number	NOUN	NN	Number=Sing	1	obj	_	_
4	of	of	ADP	IN	_	5	case	_	_
5	persons	person	NOUN	NNS	Number=Plur	3	nmod	_	_
6	denoted	denote	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	acl	_	_
7	by	by	ADP	IN	_	9	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	utterance	utterance	NOUN	NN	Number=Sing	6	obl	_	_
10	«	«	PUNCT	``	_	11	punct	_	SpaceAfter=No
11	wǒ	wǒ	X	GW	_	9	appos	_	_
12	jiā	jiā	X	GW	_	11	flat	_	_
13	yǒu	yǒu	X	GW	_	11	flat	_	_
14	sān	sān	X	GW	_	11	flat	_	_
15	kǒu	kǒu	X	GW	_	11	flat	_	_
16	rén	rén	X	GW	_	11	flat	_	SpaceAfter=No
17	»	»	PUNCT	''	_	11	punct	_	SpaceAfter=No
18	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **determine** | imperative | you *not said here* | the number of persons |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent number=Topic |
| 2 | **denote** | participle |  | persons *not said here* |  |  |  | by the utterance | vn indicate-78 «NP V how S»: agent=Pivot |

<!-- .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 -->
Three

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e3:o1:1
# text = Three
1	Three	three	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
```

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

### Option 2 {#o2}

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

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e3:o2:1
# text = Thirty
1	Thirty	thirty	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
```

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

### Option 3 {#o3}

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

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e3:o3:1
# text = Six
1	Six	six	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
```

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

### Option 4 {#o4}

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

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e3:o4:1
# text = One
1	One	one	NUM	CD	NumForm=Word|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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- ← previous: [Olympiad: measure words and characters…, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/e2/)
- next →: [Olympiad: measure words and characters…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/e4/)
- ↑ 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/)