---
title: ★★★ Sienna says a river, a road and a pair of trousers have nothing… — Olympiad: measure words and characters… · tree and pragmatics
description: ★★★ Sienna says a river, a road and a pair of trousers have nothing in common. Why do they all take tiáo? Test 2 · ★★★ 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 
---

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# Test 2 · ★★★ · Olympiad: measure words and characters as pictures ★★★

<!-- .ven lang=en -->
★★★ Sienna says a river, a road and a pair of trousers have nothing in common. Why do they all take tiáo?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** ★, river · **What happens:** say, have, take · **To what, where:** nothing, common, tiáo · **Speech:** someone speaks here

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This is test 2 · ★★★ 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/#t2).

## The question {#question}

<!-- .note -->
*Sentence 1:* ★★★ Sienna says a river, a road and a pair of trousers have nothing in common.

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t2:1
# text = ★★★ Sienna says a river, a road and a pair of trousers have nothing in common.
1	★	★	PROPN	NNP	Number=Sing	5	nsubj	_	SpaceAfter=No
2	★	★	NOUN	NN	Number=Sing	3	compound	_	SpaceAfter=No
3	★	★	NOUN	NN	Number=Sing	1	appos	_	_
4	Sienna	Sienna	PROPN	NNP	Number=Sing	1	flat	_	_
5	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	river	river	NOUN	NN	Number=Sing	16	nsubj	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
10	road	road	NOUN	NN	Number=Sing	7	conj	_	_
11	and	and	CCONJ	CC	_	13	cc	_	_
12	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
13	pair	pair	NOUN	NN	Number=Sing	7	conj	_	_
14	of	of	ADP	IN	_	15	case	_	_
15	trousers	trousers	NOUN	NNS	Number=Plur	13	nmod	_	_
16	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	ccomp	_	_
17	nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	16	obj	_	_
18	in	in	ADP	IN	_	19	case	_	_
19	common	common	ADJ	JJ	Degree=Pos	17	nmod	_	SpaceAfter=No
20	.	.	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | ★ |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **have** | present | a river and a road and a pair of trousers | nothing |  | common |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent nothing=Patient |

<!-- .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:* Why do they all take tiáo?

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t2:2
# text = Why do they all take tiáo?
1	Why	why	ADV	WRB	PronType=Int	5	advmod	_	_
2	do	do	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	aux	_	_
3	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	5	nsubj	_	_
4	all	all	DET	DT	PronType=Tot	3	det	_	_
5	take	take	VERB	VB	VerbForm=Inf	0	root	_	_
6	tiáo	tiáo	NOUN	NN	Number=Sing	5	obj	_	SpaceAfter=No
7	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **take** | present · do-support | river | tiáo |  |  |  |  | vn bring-11.3 «NP V NP»: agent=Agent tiáo=Theme |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
They're all outdoors

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t2:o1:1
# text = They're all outdoors
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	SpaceAfter=No
2	're	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	all	all	ADV	RB	_	4	advmod	_	_
4	outdoors	outdoors	ADV	RB	_	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
They all move along

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t2:o2:1
# text = They all move along
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	all	all	DET	DT	PronType=Tot	3	advmod	_	_
3	move	move	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	along	along	ADV	RB	_	3	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **move along** | present | They |  |  |  |  | along *property* | vn roll-51.3.1 «NP.theme V»: agent=Theme |

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

<!-- .ven lang=en -->
They're all long and thin

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t2:o3:1
# text = They're all long and thin
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	SpaceAfter=No
2	're	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	all	all	ADV	RB	_	4	advmod	_	_
4	long	long	ADJ	JJ	Degree=Pos	0	root	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	thin	thin	ADJ	JJ	Degree=Pos	4	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | They |  |  |  |  | all, long *property* | tree rules |
| 2 | **be** |  | They *not said here* |  |  |  |  |  | tree rules |

### Option 4 {#o4}

<!-- .ven lang=en -->
They're all blue

```conllu
# sent_id = question:chinese-street:32-olympiad-measure-words-and-picture-characters:t2:o4:1
# text = They're all blue
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	4	nsubj	_	SpaceAfter=No
2	're	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	all	all	ADV	RB	_	4	advmod	_	_
4	blue	blue	ADJ	JJ	Degree=Pos	0	root	_	_
```

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

<!-- 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 -->

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- ← previous: [Olympiad: measure words and characters…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t1/)
- next →: [Olympiad: measure words and characters…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t3/)
- ↑ 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/)