---
title: bruh, what did the feather do to her? — Breton Tales, Tephany, part 53: a fair… · tree and pragmatics
description: bruh, what did the feather do to her? Test 3 · ★ of lesson 1328 «Breton Tales, Tephany, part 53: a fairy gives Tephany three magic gifts, and she grows vain and sharp» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's cho
---

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# Test 3 · ★ · Breton Tales, Tephany, part 53: a fairy gives Tephany thre…

<!-- .ven lang=en -->
bruh, what did the feather do to her?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** feather · **What happens:** do · **To what, where:** her

<!-- .vabout -->
This is test 3 · ★ of lesson 1328 «Breton Tales, Tephany, part 53: a fairy gives Tephany three magic gifts, and she grows vain and sharp» 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/1328-pg3454-part53/#t3).

## The question {#question}

```conllu
# sent_id = question:books:1328-pg3454-part53:t3:1
# text = bruh, what did the feather do to her?
1	bruh	bruh	INTJ	UH	_	7	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	what	what	PRON	WP	PronType=Int	7	obj	_	_
4	did	do	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	feather	feather	NOUN	NN	Number=Sing	7	nsubj	_	_
7	do	do	VERB	VB	VerbForm=Inf	0	root	_	_
8	to	to	ADP	IN	_	9	case	_	_
9	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	7	obl	_	SpaceAfter=No
10	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | past · do-support | the feather |  | her *= she* |  |  |  | vn act-114-1 «NP V NP»: agent=Agent what=Eventuality |

<!-- .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 -->
made her super smart like Solomon

```conllu
# sent_id = question:books:1328-pg3454-part53:t3:o1:1
# text = made her super smart like Solomon
1	made	make	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
2	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	super	super	ADV	RB	_	4	advmod	_	_
4	smart	smart	ADJ	JJ	Degree=Pos	1	xcomp	_	_
5	like	like	ADP	IN	_	6	case	_	_
6	Solomon	Solomon	PROPN	NNP	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | past |  | her *= she* |  |  |  | smart *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset she=Product |

### Option 2 {#o2}

<!-- .ven lang=en -->
made her smart

```conllu
# sent_id = question:books:1328-pg3454-part53:t3:o2:1
# text = made her smart
1	made	make	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
2	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	smart	smart	ADJ	JJ	Degree=Pos	1	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | past |  | her *= she* |  |  |  | smart *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset she=Product |

### Option 3 {#o3}

<!-- .ven lang=en -->
made her pretty

```conllu
# sent_id = question:books:1328-pg3454-part53:t3:o3:1
# text = made her pretty
1	made	make	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
2	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	pretty	pretty	ADV	RB	_	1	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make** | past |  | her *= she* |  |  |  | pretty *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset she=Product |

### Option 4 {#o4}

<!-- .ven lang=en -->
gave her big brains like a priest

```conllu
# sent_id = question:books:1328-pg3454-part53:t3:o4:1
# text = gave her big brains like a priest
1	gave	give	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
2	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	1	iobj	_	_
3	big	big	ADJ	JJ	Degree=Pos	4	amod	_	_
4	brains	brain	NOUN	NNS	Number=Plur	1	obj	_	_
5	like	like	ADP	IN	_	7	case	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	priest	priest	NOUN	NN	Number=Sing	4	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give** | past |  | big brains | her *= she* |  |  | like a priest | vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent she=Recipient brain=Theme |

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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: [Breton Tales, Tephany, part 53: a fair…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/books/1328-pg3454-part53/t2/)
- next →: [Breton Tales, Tephany, part 53: a fair…, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/books/1328-pg3454-part53/t4/)
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