---
title: ★★★ A Chinese dragon is long and twisty like a snake. Which measure… — Olympiad: measure words and characters… · tree and pragmatics
description: ★★★ A Chinese dragon is long and twisty like a snake. Which measure word does it share with a fish? Test 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 of the question and of
---

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

<!-- .ven lang=en -->
★★★ A Chinese dragon is long and twisty like a snake. Which measure word does it share with a fish?

<!-- .vintro -->
**Mova's choice:** option 4 · **The right answer:** option 4 · right ✓ · **Who acts:** ★, measure word · **What happens:** be, share

<!-- .vabout -->
This is test 4 · ★★★ of lesson 32 «Olympiad: measure words and characters as pictures ★★★» of the Chinese street 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/chinese-street/32-olympiad-measure-words-and-picture-characters/#t4).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ A Chinese dragon is long and twisty like a snake.

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t4:1
# text = ★★★ A Chinese dragon is long and twisty like a snake.
1	★	★	PROPN	NNP	Number=Sing	8	nsubj	_	SpaceAfter=No
2	★	★	X	FW	Foreign=Yes	1	dep	_	SpaceAfter=No
3	★	★	ADP	IN	_	6	case	_	_
4	A	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
5	Chinese	Chinese	ADJ	JJ	Degree=Pos	6	amod	_	_
6	dragon	dragon	NOUN	NN	Number=Sing	1	nmod	_	_
7	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
8	long	long	ADJ	JJ	Degree=Pos	0	root	_	_
9	and	and	CCONJ	CC	_	10	cc	_	_
10	twisty	twisty	ADJ	JJ	Degree=Pos	8	conj	_	_
11	like	like	ADP	IN	_	13	case	_	_
12	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
13	snake	snake	NOUN	NN	Number=Sing	10	obl	_	SpaceAfter=No
14	.	.	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | ★ ★ a Chinese dragon |  |  |  |  | long *property* | tree rules |
| 2 | **be** |  | ★ ★ a Chinese dragon *not said here* |  |  |  |  | like a snake | 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.

<!-- .note -->
*Sentence 2:* Which measure word does it share with a fish?

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t4:2
# text = Which measure word does it share with a fish?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	measure	measure	NOUN	NN	Number=Sing	3	compound	_	_
3	word	word	NOUN	NN	Number=Sing	6	nsubj	_	_
4	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	aux	_	_
5	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	6	nsubj	_	_
6	share	share	VERB	VB	VerbForm=Inf	0	root	_	_
7	with	with	ADP	IN	_	9	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	fish	fish	NOUN	NN	Number=Sing	6	obl	_	SpaceAfter=No
10	?	?	PUNCT	.	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **share** | present · do-support | measure word |  |  |  |  | with a fish | tree rules |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
běn, like a book

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t4:o1:1
# text = běn, like a book
1	běn	běn	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	5	punct	_	_
3	like	like	ADP	IN	_	5	case	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	book	book	NOUN	NN	Number=Sing	1	appos	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
zhāng, like a table

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t4:o2:1
# text = zhāng, like a table
1	zhāng	zhāng	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	5	punct	_	_
3	like	like	ADP	IN	_	5	case	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	table	table	NOUN	NN	Number=Sing	1	appos	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
zhī, like a cat

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t4:o3:1
# text = zhī, like a cat
1	zhī	zhī	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	5	punct	_	_
3	like	like	ADP	IN	_	5	case	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	cat	cat	NOUN	NN	Number=Sing	1	appos	_	_
```

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

### Option 4 · ← Mova's choice · ✓ the right answer {#o4}

<!-- .ven lang=en -->
tiáo

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t4:o4:1
# text = tiáo
1	tiáo	tiáo	NOUN	NN	Number=Sing	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 3](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t3/)
- next →: [Olympiad: measure words and characters…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t5/)
- ↑ 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/)