---
title: You touch the bread before dinner without washing. What will Sashko'… — Bruises and hand-washing; cats, dogs a… · tree and pragmatics
description: You touch the bread before dinner without washing. What will Sashko's mum most likely say? Test 5 · ★ of lesson 21 «Bruises and hand-washing; cats, dogs and ponies» of the Ukrainian street course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mo
---

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# Test 5 · ★ · Bruises and hand-washing; cats, dogs and ponies

<!-- .ven lang=en -->
You touch the bread before dinner without washing. What will Sashko's mum most likely say?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** You, mum · **What happens:** touch, wash, say · **To what, where:** bread · **Speech:** someone speaks here

<!-- .vabout -->
This is test 5 · ★ of lesson 21 «Bruises and hand-washing; cats, dogs and ponies» of the Ukrainian 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/ukrainian-street/21-bruises-hand-washing-cats-dogs-ponies/#t5).

## The question {#question}

<!-- .note -->
*Sentence 1:* You touch the bread before dinner without washing.

```conllu
# sent_id = question:ukrainian-street:21-bruises-hand-washing-cats-dogs-ponies:t5:1
# text = You touch the bread before dinner without washing.
1	You	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	2	nsubj	_	_
2	touch	touch	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	bread	bread	NOUN	NN	Number=Sing	2	obj	_	_
5	before	before	ADP	IN	_	6	case	_	_
6	dinner	dinner	NOUN	NN	Number=Sing	2	obl	_	_
7	without	without	SCONJ	IN	_	8	mark	_	_
8	washing	wash	VERB	VBG	Tense=Pres|VerbForm=Part	2	advcl	_	SpaceAfter=No
9	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **touch** | present | You | the bread |  |  | before dinner |  | vn contiguous\_location-47.8-1 «NP V NP»: agent=Theme bread=Co-Theme |
| 2 | **wash** | gerund | You *not said here* |  |  |  |  |  | vn floss-41.2.1 «NP V»: agent=Agent |

<!-- .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:* What will Sashko's mum most likely say?

```conllu
# sent_id = question:ukrainian-street:21-bruises-hand-washing-cats-dogs-ponies:t5:2
# text = What will Sashko's mum most likely say?
1	What	what	PRON	WP	PronType=Int	8	obj	_	_
2	will	will	AUX	MD	VerbForm=Fin	8	aux	_	_
3	Sashko	Sashko	PROPN	NNP	Number=Sing	5	nmod:poss	_	SpaceAfter=No
4	's	's	PART	POS	_	3	case	_	_
5	mum	mum	NOUN	NN	Number=Sing	8	nsubj	_	_
6	most	most	ADV	RBS	Degree=Sup	7	advmod	_	_
7	likely	likely	ADV	RB	_	8	advmod	_	_
8	say	say	VERB	VB	VerbForm=Inf	0	root	_	SpaceAfter=No
9	?	?	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | future | Sashko's mum |  |  |  |  | likely *property* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic |

## The options {#options}

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

<!-- .ven lang=en -->
pomyi ruky!

```conllu
# sent_id = question:ukrainian-street:21-bruises-hand-washing-cats-dogs-ponies:t5:o1:1
# text = pomyi ruky!
1	pomyi	pomyi	X	FW	_	2	compound	_	_
2	ruky	ruky	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	!	!	PUNCT	.	_	2	punct	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
pomyi lytsE!

```conllu
# sent_id = question:ukrainian-street:21-bruises-hand-washing-cats-dogs-ponies:t5:o2:1
# text = pomyi lytsE!
1	pomyi	pomyi	X	FW	_	2	compound	_	_
2	lytsE	lytse	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	!	!	PUNCT	.	_	2	punct	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
ne bIisya!

```conllu
# sent_id = question:ukrainian-street:21-bruises-hand-washing-cats-dogs-ponies:t5:o3:1
# text = ne bIisya!
1	ne	ne	NOUN	NN	Number=Sing	2	compound	_	_
2	bIisya	biisya	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	!	!	PUNCT	.	_	2	punct	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
DOdomu!

```conllu
# sent_id = question:ukrainian-street:21-bruises-hand-washing-cats-dogs-ponies:t5:o4:1
# text = DOdomu!
1	DOdomu	DOdomu	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
2	!	!	PUNCT	.	_	1	punct	_	_
```

<!-- .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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- ↑ back to [Bruises and hand-washing; cats, dogs and ponies](https://md.mova.elamur.ai/free/en/corpora/questions/ukrainian-street/21-bruises-hand-washing-cats-dogs-ponies/)

