---
title: ★★★ Josh from Bristol goes «gurt easy, ge works for everything, so y… — Olympiad: measure words and characters… · tree and pragmatics
description: ★★★ Josh from Bristol goes «gurt easy, ge works for everything, so yí ge shū». What would a Chinese friend usually say? Test 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
---

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# Test 1 · ★★★ · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
★★★ Josh from Bristol goes «gurt easy, ge works for everything, so yí ge shū». What would a Chinese friend usually say?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 3 · wrong ✗ · **Who acts:** Josh, ge, Chinese friend · **What happens:** go, gurt, work, say · **Speech:** someone speaks here

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This is test 1 · ★★★ 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/#t1).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Josh from Bristol goes «gurt easy, ge works for everything, so yí ge shū».

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t1:1
# text = ★★★ Josh from Bristol goes «gurt easy, ge works for everything, so yí ge shū».
1	★	★	PROPN	NNP	Number=Sing	3	compound	_	SpaceAfter=No
2	★	★	NOUN	NN	Number=Sing	3	compound	_	SpaceAfter=No
3	★	★	NOUN	NN	Number=Sing	4	nmod:desc	_	_
4	Josh	Josh	PROPN	NNP	Number=Sing	7	nsubj	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	Bristol	Bristol	PROPN	NNP	Number=Sing	4	nmod	_	_
7	goes	go	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	«	«	PUNCT	``	_	9	punct	_	SpaceAfter=No
9	gurt	gurt	VERB	VB	VerbForm=Inf	7	advcl	_	_
10	easy	easy	ADJ	JJ	Degree=Pos	9	xcomp	_	SpaceAfter=No
11	,	,	PUNCT	,	_	13	punct	_	_
12	ge	ge	NOUN	NN	Number=Sing	13	nsubj	_	_
13	works	work	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	parataxis	_	_
14	for	for	ADP	IN	_	15	case	_	_
15	everything	everything	PRON	NN	Number=Sing|PronType=Tot	13	obl	_	SpaceAfter=No
16	,	,	PUNCT	,	_	20	punct	_	_
17	so	so	ADV	RB	_	20	advmod	_	_
18	yí	yí	ADP	IN	_	20	case	_	_
19	ge	ge	NOUN	NN	Number=Sing	20	compound	_	_
20	shū	shū	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
21	»	»	PUNCT	''	_	20	punct	_	SpaceAfter=No
22	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **go** | present | Josh  ★ ★ ★ from Bristol |  |  |  |  | yí ge shū | vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic |
| 2 | **gurt** *in a quote* | infinitive | Josh  ★ ★ ★ from Bristol *not said here* |  |  |  |  | easy *property* | tree rules |
| 3 | **work** *in a quote* | present | ge |  |  |  |  | for everything | vn employment-95.3 «NP V PP.beneficiary»: agent=Agent for everything=Beneficiary |

<!-- .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:* What would a Chinese friend usually say?

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t1:2
# text = What would a Chinese friend usually say?
1	What	what	PRON	WP	PronType=Int	7	obj	_	_
2	would	would	AUX	MD	VerbForm=Fin	7	aux	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	Chinese	Chinese	ADJ	JJ	Degree=Pos	5	amod	_	_
5	friend	friend	NOUN	NN	Number=Sing	7	nsubj	_	_
6	usually	usually	ADV	RB	_	7	advmod	_	_
7	say	say	VERB	VB	VerbForm=Inf	0	root	_	SpaceAfter=No
8	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | would | a Chinese friend |  |  |  |  | usually *property* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic |

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
yì zhāng shū

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t1:o1:1
# text = yì zhāng shū
1	yì	yì	X	GW	_	0	root	_	_
2	zhāng	zhāng	VERB	VBG	Tense=Pres|VerbForm=Part	1	advcl	_	_
3	shū	shū	X	FW	Foreign=Yes	2	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **zhāng** | gerund |  | shū |  |  |  |  | tree rules |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
yì tiáo shū

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t1:o2:1
# text = yì tiáo shū
1	yì	yì	X	GW	_	0	root	_	_
2	tiáo	tiáo	X	FW	Foreign=Yes	1	flat	_	_
3	shū	shū	X	FW	Foreign=Yes	1	flat	_	_
```

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

### Option 3 · ✓ the right answer {#o3}

<!-- .ven lang=en -->
yì běn shū

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t1:o3:1
# text = yì běn shū
1	yì	yì	X	GW	_	0	root	_	_
2	běn	běn	X	FW	_	1	flat	_	_
3	shū	shū	X	FW	Foreign=Yes	1	flat	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
yí ge shū, he's spot on

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t1:o4:1
# text = yí ge shū, he's spot on
1	yí	yí	PROPN	NNP	Number=Sing	3	compound	_	_
2	ge	ge	NOUN	NN	Number=Sing	3	compound	_	_
3	shū	shū	NOUN	NN	Number=Sing	7	nsubj:pass	_	SpaceAfter=No
4	,	,	PUNCT	,	_	3	punct	_	_
5	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	7	nsubj	_	SpaceAfter=No
6	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	aux:pass	_	_
7	spot	spot	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
8	on	on	ADP	IN	_	7	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **spot** | present · passive |  | yí ge shū |  |  |  |  | vn fill-9.8-1 «NP V NP»: subject=Destination |

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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.

<!-- /div -->

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- ← previous: [Olympiad: tone detectives and number p…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/31-olympiad-tone-and-number-puzzles/e4/)
- next →: [Olympiad: measure words and characters…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t2/)
- ↑ 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/)