---
title: ★★★ Ming groans «I've told you a million times, there's like a milli… — Olympiad: tone detectives and number p… · tree and pragmatics
description: ★★★ Ming groans «I've told you a million times, there's like a million tones!» How many are there really? Test 2 · ★★★ 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
---

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# Test 2 · ★★★ · Olympiad: tone detectives and number puzzles ★★★

<!-- .ven lang=en -->
★★★ Ming groans «I've told you a million times, there's like a million tones!» How many are there really?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** ★, I, many · **What happens:** groan, tell, be · **To what, where:** you · **Speech:** someone speaks here

<!-- .vabout -->
This is test 2 · ★★★ 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/#t2).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Ming groans «I've told you a million times, there's like a million tones!»

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t2:1
# text = ★★★ Ming groans «I've told you a million times, there's like a million tones!»
1	★	★	PROPN	NNP	Number=Sing	5	nsubj	_	SpaceAfter=No
2	★	★	X	FW	Foreign=Yes	1	dep	_	SpaceAfter=No
3	★	★	NOUN	NN	Number=Sing	1	list	_	_
4	Ming	Ming	PROPN	NNP	Number=Sing	1	flat	_	_
5	groans	groan	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	«	«	PUNCT	``	_	9	punct	_	SpaceAfter=No
7	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	9	nsubj	_	SpaceAfter=No
8	've	have	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	9	aux	_	_
9	told	tell	VERB	VBN	Tense=Past|VerbForm=Part	5	ccomp	_	_
10	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	9	iobj	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
12	million	million	NUM	CD	NumForm=Word|NumType=Card	13	nummod	_	_
13	times	time	NOUN	NNS	Number=Plur	9	obl:unmarked	_	SpaceAfter=No
14	,	,	PUNCT	,	_	16	punct	_	_
15	there	there	PRON	EX	PronType=Dem	16	expl	_	SpaceAfter=No
16	's	be	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	parataxis	_	_
17	like	like	ADP	IN	_	20	case	_	_
18	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
19	million	million	NUM	CD	NumForm=Word|NumType=Card	20	nummod	_	_
20	tones	tone	NOUN	NNS	Number=Plur	16	obl	_	SpaceAfter=No
21	!	!	PUNCT	.	_	16	punct	_	SpaceAfter=No
22	»	»	PUNCT	''	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **groan** | present | ★ |  |  |  |  |  | vn manner\_speaking-37.3 «NP V that S»: agent=Agent clause=Topic |
| 2 | **tell** *speech: assert* *in a quote* | present · perfect | I |  | you |  | time |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent you=Recipient |
| 3 | **be** *in a quote* | present |  |  |  | there |  | like million tones | vn exist-47.1 «NP V»: agent=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:* How many are there really?

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t2:2
# text = How many are there really?
1	How	how	ADV	WRB	PronType=Int	2	advmod	_	_
2	many	many	ADJ	JJ	Degree=Pos	4	nsubj	_	_
3	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	there	there	ADV	RB	PronType=Dem	0	root	_	_
5	really	really	ADV	RB	_	4	advmod	_	SpaceAfter=No
6	?	?	PUNCT	.	_	4	punct	_	_
```

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

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Two: one up and one down

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t2:o1:1
# text = Two: one up and one down
1	Two	two	NUM	CD	NumForm=Word|NumType=Card	3	nummod	_	SpaceAfter=No
2	:	:	PUNCT	:	_	3	punct	_	_
3	one	one	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
4	up	up	ADP	RP	_	3	compound:prt	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	one	one	NUM	CD	NumForm=Word|NumType=Card	3	conj	_	_
7	down	down	ADV	RB	_	6	advmod	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
A million, just like he said

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t2:o2:1
# text = A million, just like he said
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	million	million	NUM	CD	NumForm=Word|NumType=Card	7	nsubj	_	SpaceAfter=No
3	,	,	PUNCT	,	_	7	punct	_	_
4	just	just	ADV	RB	_	7	advmod	_	_
5	like	like	SCONJ	IN	_	7	mark	_	_
6	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	7	nsubj	_	_
7	said	say	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | past | a million |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |

### Option 3 {#o3}

<!-- .ven lang=en -->
Eight, like the lucky number

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t2:o3:1
# text = Eight, like the lucky number
1	Eight	eight	NUM	CD	NumForm=Word|NumType=Card	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	6	punct	_	_
3	like	like	ADP	IN	_	6	case	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
5	lucky	lucky	ADJ	JJ	Degree=Pos	6	amod	_	_
6	number	number	NOUN	NN	Number=Sing	1	appos	_	_
```

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

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Four, plus the light tone

```conllu
# sent_id = question:chinese-street:31-olympiad-tone-and-number-puzzles:t2:o4:1
# text = Four, plus the light tone
1	Four	four	NUM	CD	NumForm=Word|NumType=Card	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	6	punct	_	_
3	plus	plus	CCONJ	CC	_	6	cc	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
5	light	light	NOUN	NN	Number=Sing	6	compound	_	_
6	tone	tone	NOUN	NN	Number=Sing	1	appos	_	_
```

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

<!-- div src -->

**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 -->

<!-- pn -->
- ← previous: [Olympiad: tone detectives and number p…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/31-olympiad-tone-and-number-puzzles/t1/)
- next →: [Olympiad: tone detectives and number p…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/31-olympiad-tone-and-number-puzzles/t3/)
- ↑ 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/)

