---
title: Yo, who sorted Rushen Coatie's outfit for church, like, proper? — English Fairy Tales, Rushen Coatie: th… · tree and pragmatics
description: Yo, who sorted Rushen Coatie's outfit for church, like, proper? Test 1 · ★ of lesson 258 «English Fairy Tales, Rushen Coatie: the glass slipper fits the girl in the rushen coatie» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option
---

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# Test 1 · ★ · English Fairy Tales, Rushen Coatie: the glass slipper fits…

<!-- .ven lang=en -->
Yo, who sorted Rushen Coatie's outfit for church, like, proper?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **What happens:** sort · **To what, where:** outfit

<!-- .vabout -->
This is test 1 · ★ of lesson 258 «English Fairy Tales, Rushen Coatie: the glass slipper fits the girl in the rushen coatie» of the books 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/books/258-pg14241-part25/#t1).

## The question {#question}

```conllu
# sent_id = question:books:258-pg14241-part25:t1:1
# text = Yo, who sorted Rushen Coatie's outfit for church, like, proper?
1	Yo	yo	INTJ	UH	_	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	who	who	PRON	WP	PronType=Rel	4	nsubj	_	_
4	sorted	sort	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	Rushen	Rushen	PROPN	NNP	Number=Sing	8	nmod:poss	_	_
6	Coatie	Coatie	PROPN	NNP	Number=Sing	5	flat	_	SpaceAfter=No
7	's	's	PART	POS	_	5	case	_	_
8	outfit	outfit	NOUN	NN	Number=Sing	4	obj	_	_
9	for	for	ADP	IN	_	10	case	_	_
10	church	church	NOUN	NN	Number=Sing	8	nmod	_	SpaceAfter=No
11	,	,	PUNCT	,	_	14	punct	_	_
12	like	like	INTJ	UH	_	14	discourse	_	SpaceAfter=No
13	,	,	PUNCT	,	_	12	punct	_	_
14	proper	proper	ADJ	JJ	Degree=Pos	4	conj	_	SpaceAfter=No
15	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **sort** | past |  | Rushen's outfit |  |  |  | for church | vn classify-29.10 «NP V NP»: agent=Agent outfit=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.

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
the red calf

```conllu
# sent_id = question:books:258-pg14241-part25:t1:o1:1
# text = the red calf
1	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
2	red	red	ADJ	JJ	Degree=Pos	3	amod	_	_
3	calf	calf	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
the cat

```conllu
# sent_id = question:books:258-pg14241-part25:t1:o2:1
# text = the cat
1	the	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	cat	cat	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
the raven

```conllu
# sent_id = question:books:258-pg14241-part25:t1:o3:1
# text = the raven
1	the	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	raven	raven	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
the old nanny

```conllu
# sent_id = question:books:258-pg14241-part25:t1:o4:1
# text = the old nanny
1	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
2	old	old	ADJ	JJ	Degree=Pos	3	amod	_	_
3	nanny	nanny	NOUN	NN	Number=Sing	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.

<!-- /div -->

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