---
title: ★★★ Freddie writes 木木 for «two trees» and asks if that's a real char… — Olympiad: measure words and characters… · tree and pragmatics
description: ★★★ Freddie writes 木木 for «two trees» and asks if that's a real character. Which is the closest one? Test 7 · ★★★ 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 o
---

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# Test 7 · ★★★ · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
★★★ Freddie writes 木木 for «two trees» and asks if that's a real character. Which is the closest one?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** ★ Freddie, that · **What happens:** write, ask, be · **To what, where:** 木木, real character, closest one

<!-- .vabout -->
This is test 7 · ★★★ 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/#t7).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Freddie writes 木木 for «two trees» and asks if that's a real character.

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t7:1
# text = ★★★ Freddie writes 木木 for «two trees» and asks if that's a real character.
1	★	★	PROPN	NNP	Number=Sing	4	compound	_	SpaceAfter=No
2	★	★	X	FW	Foreign=Yes	1	dep	_	SpaceAfter=No
3	★	★	X	FW	Foreign=Yes	1	dep	_	_
4	Freddie	Freddie	PROPN	NNP	Number=Sing	5	nsubj	_	_
5	writes	write	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	木木	木木	NOUN	NN	Number=Sing	5	obj	_	_
7	for	for	ADP	IN	_	10	case	_	_
8	«	«	PUNCT	``	_	10	punct	_	SpaceAfter=No
9	two	two	NUM	CD	NumForm=Word|NumType=Card	10	nummod	_	_
10	trees	tree	NOUN	NNS	Number=Plur	5	obl	_	SpaceAfter=No
11	»	»	PUNCT	''	_	10	punct	_	_
12	and	and	CCONJ	CC	_	13	cc	_	_
13	asks	ask	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	conj	_	_
14	if	if	SCONJ	IN	_	19	mark	_	_
15	that	that	PRON	DT	Number=Sing|PronType=Dem	19	nsubj	_	SpaceAfter=No
16	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	19	cop	_	_
17	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
18	real	real	ADJ	JJ	Degree=Pos	19	amod	_	_
19	character	character	NOUN	NN	Number=Sing	13	ccomp	_	SpaceAfter=No
20	.	.	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **write** | present | ★ Freddie | 木木 |  |  |  | for two trees | vn create-26.4-1 «NP V NP PP.beneficiary»: agent=Agent 木木=Result for tree=Beneficiary |
| 2 | **ask** *speech: ask* | present | ★ Freddie *not said here* |  |  |  |  |  | vn inquire-37.1.2 «NP V»: agent=Agent |
| 3 | **is a** *a condition, not said to happen* | present | that | a real character |  |  |  |  | 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 is the closest one?

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t7:2
# text = Which is the closest one?
1	Which	which	PRON	WDT	PronType=Rel	5	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	closest	close	ADJ	JJS	Degree=Sup	5	amod	_	_
5	one	one	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

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

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
森, three trees

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t7:o1:1
# text = 森, three trees
1	森	森	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	three	three	NUM	CD	NumForm=Word|NumType=Card	4	nummod	_	_
4	trees	tree	NOUN	NNS	Number=Plur	1	conj	_	_
```

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

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

<!-- .ven lang=en -->
林, a small wood

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t7:o2:1
# text = 林, a small wood
1	林	林	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	5	punct	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	small	small	ADJ	JJ	Degree=Pos	5	amod	_	_
5	wood	wood	NOUN	NN	Number=Sing	1	appos	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
人, a person

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t7:o3:1
# text = 人, a person
1	人	人	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	person	person	NOUN	NN	Number=Sing	1	appos	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
山, a mountain

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t7:o4:1
# text = 山, a mountain
1	山	山	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	mountain	mountain	NOUN	NN	Number=Sing	1	appos	_	_
```

<!-- .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 6](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t6/)
- next →: [Olympiad: measure words and characters…, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t8/)
- ↑ 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/)

