---
title: Select the measure word appropriate to the noun shū in the expressio… — Olympiad: measure words and characters… · tree and pragmatics
description: Select the measure word appropriate to the noun shū in the expression «three books». Exam question 1 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 1 · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
Select the measure word appropriate to the noun shū in the expression «three books».

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** you · **What happens:** select · **To what, where:** measure word

<!-- .vabout -->
This is exam question 1 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/#e1).

## The question {#question}

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e1:1
# text = Select the measure word appropriate to the noun shū in the expression «three books».
1	Select	select	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	measure	measure	NOUN	NN	Number=Sing	4	compound	_	_
4	word	word	NOUN	NN	Number=Sing	1	obj	_	_
5	appropriate	appropriate	ADJ	JJ	Degree=Pos	4	amod	_	_
6	to	to	ADP	IN	_	9	case	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
8	noun	noun	NOUN	NN	Number=Sing	9	compound	_	_
9	shū	shū	NOUN	NN	Number=Sing	5	obl	_	_
10	in	in	ADP	IN	_	12	case	_	_
11	the	the	DET	DT	Definite=Def|PronType=Art	12	det	_	_
12	expression	expression	NOUN	NN	Number=Sing	9	nmod	_	_
13	«	«	PUNCT	``	_	15	punct	_	SpaceAfter=No
14	three	three	NUM	CD	NumForm=Word|NumType=Card	15	nummod	_	_
15	books	book	NOUN	NNS	Number=Plur	12	appos	_	SpaceAfter=No
16	»	»	PUNCT	''	_	15	punct	_	SpaceAfter=No
17	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **select** | imperative | you *not said here* | the measure word |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent word=Theme |

<!-- .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 -->
zhāng

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e1:o1:1
# text = zhāng
1	zhāng	zhāng	NOUN	NN	Number=Sing	0	root	_	_
```

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

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

<!-- .ven lang=en -->
běn

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e1:o2:1
# text = běn
1	běn	běn	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
tiáo

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e1:o3:1
# text = tiáo
1	tiáo	tiáo	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
zhī

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:e1:o4:1
# text = zhī
1	zhī	zhī	NOUN	NN	_	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…, test 11](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t11/)
- next →: [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/)
- ↑ 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/)