---
title: ★★★ Riya from Mumbai wants a bun and tells the stall «wǒ mài». What… — Olympiad: tone detectives and number p… · tree and pragmatics
description: ★★★ Riya from Mumbai wants a bun and tells the stall «wǒ mài». What should she have said? Test 9 · ★★★ of lesson 31 «Olympiad: tone detectives and number puzzles ★★★» of the Chinese street course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mo
---

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# Test 9 · ★★★ · Olympiad: tone detectives and number puzzles ★★★

<!-- .ven lang=en -->
★★★ Riya from Mumbai wants a bun and tells the stall «wǒ mài». What should she have said?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 1 · wrong ✗ · **Who acts:** ★ ★ ★, ★ · **What happens:** want, tell, say · **To what, where:** bun, stall · **Speech:** someone speaks here

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This is test 9 · ★★★ of lesson 31 «Olympiad: tone detectives and number puzzles ★★★» 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/31-olympiad-tone-and-number-puzzles/#t9).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Riya from Mumbai wants a bun and tells the stall «wǒ mài».

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t9:1
# text = ★★★ Riya from Mumbai wants a bun and tells the stall «wǒ mài».
1	★	★	PROPN	NNP	Number=Sing	3	compound	_	SpaceAfter=No
2	★	★	NOUN	NN	Number=Sing	3	compound	_	SpaceAfter=No
3	★	★	NOUN	NN	Number=Sing	7	nsubj	_	_
4	Riya	Riya	PROPN	NNP	Number=Sing	3	appos	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	Mumbai	Mumbai	PROPN	NNP	Number=Sing	4	nmod	_	_
7	wants	want	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	bun	bun	NOUN	NN	Number=Sing	7	obj	_	_
10	and	and	CCONJ	CC	_	11	cc	_	_
11	tells	tell	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	conj	_	_
12	the	the	DET	DT	Definite=Def|PronType=Art	13	det	_	_
13	stall	stall	NOUN	NN	Number=Sing	11	obj	_	_
14	«	«	PUNCT	``	_	15	punct	_	SpaceAfter=No
15	wǒ	wǒ	X	FW	Foreign=Yes	11	ccomp	_	_
16	mài	mài	X	FW	Foreign=Yes	15	flat:foreign	_	SpaceAfter=No
17	»	»	PUNCT	''	_	15	punct	_	SpaceAfter=No
18	.	.	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | present | ★ ★ ★ | a bun |  |  |  |  | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot bun=Theme |
| 2 | **tell** *speech: assert* | present | ★ ★ ★ *not said here* | the stall |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent stall=Recipient |

<!-- .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 should she have said?

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t9:2
# text = What should she have said?
1	What	what	PRON	WP	PronType=Int	5	obj	_	_
2	should	should	AUX	MD	VerbForm=Fin	5	aux	_	_
3	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	5	nsubj	_	_
4	have	have	AUX	VB	VerbForm=Inf	5	aux	_	_
5	said	say	VERB	VBN	Tense=Past|VerbForm=Part	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | should · perfect | ★ |  |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic |

## The options {#options}

### Option 1 · ✓ the right answer {#o1}

<!-- .ven lang=en -->
wǒ mǎi

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t9:o1:1
# text = wǒ mǎi
1	wǒ	wǒ	X	FW	Foreign=Yes	0	root	_	_
2	mǎi	mǎi	X	FW	Foreign=Yes	1	flat:foreign	_	_
```

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

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
wǒ ma, light and short

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t9:o2:1
# text = wǒ ma, light and short
1	wǒ	wǒ	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	ma	ma	NOUN	NN	Number=Sing	1	obj	_	SpaceAfter=No
3	,	,	PUNCT	,	_	4	punct	_	_
4	light	light	NOUN	NN	Number=Sing	2	conj	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	short	short	ADJ	JJ	Degree=Pos	2	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **wǒ** | imperative | you *not said here* | ma and light |  |  |  |  | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
wǒ mā, high and level

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t9:o3:1
# text = wǒ mā, high and level
1	wǒ	wǒ	X	FW	Foreign=Yes	2	compound	_	_
2	mā	mā	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	4	punct	_	_
4	high	high	ADJ	JJ	Degree=Pos	2	amod	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	level	level	NOUN	NN	Number=Sing	4	conj	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
wǒ mài, only louder

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t9:o4:1
# text = wǒ mài, only louder
1	wǒ	wǒ	X	FW	Foreign=Yes	0	root	_	_
2	mài	mài	X	FW	Foreign=Yes	1	flat:foreign	_	SpaceAfter=No
3	,	,	PUNCT	,	_	5	punct	_	_
4	only	only	ADV	RB	_	5	advmod	_	_
5	louder	loud	ADJ	JJR	Degree=Cmp	1	conj	_	_
```

<!-- .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: tone detectives and number p…, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/31-olympiad-tone-and-number-puzzles/t8/)
- next →: [Olympiad: tone detectives and number p…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/31-olympiad-tone-and-number-puzzles/t10/)
- ↑ back to [Olympiad: tone detectives and number puzzles ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/31-olympiad-tone-and-number-puzzles/)

