---
title: Which word sits in kě le (thirsty), kěyǐ (may) and kě'ài (cute) — sa… — Hungry, tired, shy, excited · tree and pragmatics
description: Which word sits in kě le (thirsty), kěyǐ (may) and kě'ài (cute) — same sound, different jobs? Test 9 · ★ of lesson 17 «Hungry, tired, shy, excited» of the Chinese street course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wro
---

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# Test 9 · ★ · Hungry, tired, shy, excited

<!-- .ven lang=en -->
Which word sits in kě le (thirsty), kěyǐ (may) and kě'ài (cute) — same sound, different jobs?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** word · **What happens:** sit · **To what, where:** kěyǐ, kě le

<!-- .vabout -->
This is test 9 · ★ of lesson 17 «Hungry, tired, shy, excited» 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/17-hungry-tired-shy-excited/#t9).

## The question {#question}

```conllu
# sent_id = question:chinese-street:17-hungry-tired-shy-excited:t9:1
# text = Which word sits in kě le (thirsty), kěyǐ (may) and kě'ài (cute) — same sound, different jobs?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	word	word	NOUN	NN	Number=Sing	3	nsubj	_	_
3	sits	sit	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	in	in	ADP	IN	_	6	case	_	_
5	kě	kě	PROPN	NNP	Number=Sing	6	compound	_	_
6	le	le	NOUN	NN	Number=Sing	3	obl	_	_
7	(	(	PUNCT	-LRB-	_	8	punct	_	SpaceAfter=No
8	thirsty	thirsty	ADJ	JJ	Degree=Pos	6	amod	_	SpaceAfter=No
9	)	)	PUNCT	-RRB-	_	8	punct	_	SpaceAfter=No
10	,	,	PUNCT	,	_	11	punct	_	_
11	kěyǐ	kěyǐ	PROPN	NNP	Number=Sing	3	obl	_	_
12	(	(	PUNCT	-LRB-	_	13	punct	_	SpaceAfter=No
13	may	may	AUX	MD	VerbForm=Fin	16	aux	_	SpaceAfter=No
14	)	)	PUNCT	-RRB-	_	13	punct	_	_
15	and	and	CCONJ	CC	_	16	cc	_	_
16	kě'ài	kě'ài	X	FW	Foreign=Yes	11	dep	_	_
17	(	(	PUNCT	-LRB-	_	18	punct	_	SpaceAfter=No
18	cute	cute	NOUN	NN	Number=Sing	16	appos	_	SpaceAfter=No
19	)	)	PUNCT	-RRB-	_	18	punct	_	_
20	—	-	PUNCT	:	_	22	punct	_	_
21	same	same	ADJ	JJ	Degree=Pos	22	amod	_	_
22	sound	sound	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
23	,	,	PUNCT	,	_	25	punct	_	_
24	different	different	ADJ	JJ	Degree=Pos	25	amod	_	_
25	jobs	job	NOUN	NNS	Number=Plur	22	conj	_	SpaceAfter=No
26	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **sit** | present | which word | kěyǐ |  | kě le |  | same sound and different jobs *obl* | vn assuming\_position-50 «NP V PP.location»: agent=Agent in le=Location |

<!-- .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.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
kùn

```conllu
# sent_id = question:chinese-street:17-hungry-tired-shy-excited:t9:o1:1
# text = kùn
1	kùn	kùn	PROPN	NNP	Number=Sing	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
è

```conllu
# sent_id = question:chinese-street:17-hungry-tired-shy-excited:t9:o2:1
# text = è
1	è	è	PROPN	NNP	Number=Sing	0	root	_	_
```

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

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

<!-- .ven lang=en -->
kě

```conllu
# sent_id = question:chinese-street:17-hungry-tired-shy-excited:t9:o3:1
# text = kě
1	kě	kě	PROPN	NNP	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
lèi

```conllu
# sent_id = question:chinese-street:17-hungry-tired-shy-excited:t9:o4:1
# text = lèi
1	lèi	lèi	X	FW	Foreign=Yes	0	root	_	_
```

<!-- .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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