---
title: ★★★ Aoife from Galway says «sure, I'll guess every character from it… — Olympiad: measure words and characters… · tree and pragmatics
description: ★★★ Aoife from Galway says «sure, I'll guess every character from its picture, grand». What's the catch? Test 9 · ★★★ 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 a
---

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# Test 9 · ★★★ · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
★★★ Aoife from Galway says «sure, I'll guess every character from its picture, grand». What's the catch?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 3 · wrong ✗ · **Who acts:** ★ ★, catch · **What happens:** say, guess, be · **To what, where:** character, picture · **Speech:** someone speaks here

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This is test 9 · ★★★ 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/#t9).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Aoife from Galway says «sure, I'll guess every character from its picture, grand».

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t9:1
# text = ★★★ Aoife from Galway says «sure, I'll guess every character from its picture, grand».
1	★	★	PROPN	NNP	Number=Sing	2	compound	_	SpaceAfter=No
2	★	★	NOUN	NN	Number=Sing	7	nsubj	_	SpaceAfter=No
3	★	★	ADP	IN	_	4	case	_	_
4	Aoife	Aoife	PROPN	NNP	Number=Sing	2	nmod	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	Galway	Galway	PROPN	NNP	Number=Sing	2	nmod	_	_
7	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	«	«	PUNCT	``	_	9	punct	_	SpaceAfter=No
9	sure	sure	ADJ	JJ	Degree=Pos	7	ccomp	_	SpaceAfter=No
10	,	,	PUNCT	,	_	13	punct	_	_
11	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	13	nsubj	_	SpaceAfter=No
12	'll	will	AUX	MD	VerbForm=Fin	13	aux	_	_
13	guess	guess	VERB	VB	VerbForm=Inf	9	parataxis	_	_
14	every	every	DET	DT	PronType=Tot	15	det	_	_
15	character	character	NOUN	NN	Number=Sing	13	obj	_	_
16	from	from	ADP	IN	_	18	case	_	_
17	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	18	nmod:poss	_	_
18	picture	picture	NOUN	NN	Number=Sing	13	obl	_	SpaceAfter=No
19	,	,	PUNCT	,	_	20	punct	_	_
20	grand	grand	ADJ	JJ	Degree=Pos	18	amod	_	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 | **say** *speech: assert* | present | ★ ★ ★ Aoife from Galway |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |
| 2 | **guess** *in a quote* | future | ★ ★ ★ Aoife from Galway *= ★* | every character |  | ★'s picture |  |  | vn conjecture-29.5-1 «NP V NP»: agent=Agent character=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.

<!-- .note -->
*Sentence 2:* What's the catch?

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t9:2
# text = What's the catch?
1	What	what	PRON	WP	PronType=Int	0	root	_	SpaceAfter=No
2	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	catch	catch	NOUN	NN	Number=Sing	1	nsubj	_	SpaceAfter=No
5	?	?	PUNCT	.	_	1	punct	_	_
```

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

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
The pictures only work in red ink

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t9:o1:1
# text = The pictures only work in red ink
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	pictures	picture	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	only	only	ADV	RB	_	4	advmod	_	_
4	work	work	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	in	in	ADP	IN	_	7	case	_	_
6	red	red	ADJ	JJ	Degree=Pos	7	amod	_	_
7	ink	ink	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **work** | present | the pictures |  |  |  |  | in red ink | vn employment-95.3 «NP V PP.theme»: agent=Agent in ink=Theme |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
Only Cantonese characters are pictures

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t9:o2:1
# text = Only Cantonese characters are pictures
1	Only	only	ADV	RB	_	3	advmod	_	_
2	Cantonese	cantonese	ADJ	JJ	Degree=Pos	3	amod	_	_
3	characters	character	NOUN	NNS	Number=Plur	5	nsubj	_	_
4	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
5	pictures	picture	NOUN	NNS	Number=Plur	0	root	_	_
```

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

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

<!-- .ven lang=en -->
Most mix a meaning part with a sound part

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t9:o3:1
# text = Most mix a meaning part with a sound part
1	Most	most	ADJ	JJS	Degree=Sup	2	nsubj	_	_
2	mix	mix	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	meaning	meaning	NOUN	NN	Number=Sing	5	compound	_	_
5	part	part	NOUN	NN	Number=Sing	2	obj	_	_
6	with	with	ADP	IN	_	9	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	sound	sound	NOUN	NN	Number=Sing	9	compound	_	_
9	part	part	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mix** | present | Most | a meaning part |  |  |  | with a sound part | vn mix-22.1-1-1 «NP V NP PP.co-patient»: agent=Agent part=Patient with part=Co-Patient |

### Option 4 {#o4}

<!-- .ven lang=en -->
Characters are just random scribbles

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t9:o4:1
# text = Characters are just random scribbles
1	Characters	character	NOUN	NNS	Number=Plur	5	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
3	just	just	ADV	RB	_	5	advmod	_	_
4	random	random	ADJ	JJ	Degree=Pos	5	amod	_	_
5	scribbles	scribble	NOUN	NNS	Number=Plur	0	root	_	_
```

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

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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: 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/)
- next →: [Olympiad: measure words and characters…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t10/)
- ↑ 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/)

