---
title: Ethan said «chomp» for «chom». His mum says «well done, nearly». Wha… — Blending, segmenting and the Year 1 ch… · tree and pragmatics
description: Ethan said «chomp» for «chom». His mum says «well done, nearly». What should she do? Test 7 of lesson 2 «Blending, segmenting and the Year 1 check» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Test 7 · Blending, segmenting and the Year 1 check

<!-- .ven lang=en -->
Ethan said «chomp» for «chom». His mum says «well done, nearly». What should she do?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 2 · right ✓ · **Who acts:** Ethan, mum · **What happens:** say, do · **To what, where:** chomp · **Speech:** someone speaks here

<!-- .vabout -->
This is test 7 of lesson 2 «Blending, segmenting and the Year 1 check» of the English 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/english/2-blending-segmenting-and-the-year-1-check/#t7).

## The question {#question}

<!-- .note -->
*Sentence 1:* Ethan said «chomp» for «chom».

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:1
# text = Ethan said «chomp» for «chom».
1	Ethan	Ethan	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	said	say	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	«	«	PUNCT	``	_	4	punct	_	SpaceAfter=No
4	chomp	chomp	NOUN	NN	Number=Sing	2	obj	_	SpaceAfter=No
5	»	»	PUNCT	''	_	4	punct	_	_
6	for	for	ADP	IN	_	8	case	_	_
7	«	«	PUNCT	``	_	8	punct	_	SpaceAfter=No
8	chom	chom	NOUN	NN	Number=Sing	4	nmod	_	SpaceAfter=No
9	»	»	PUNCT	''	_	4	punct	_	SpaceAfter=No
10	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | past | Ethan | chomp |  |  |  | for chom | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent chomp=Topic |

<!-- .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:* His mum says «well done, nearly».

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:2
# text = His mum says «well done, nearly».
1	His	his	PRON	PRP$	Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	mum	mum	NOUN	NN	Number=Sing	3	nsubj	_	_
3	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	«	«	PUNCT	``	_	6	punct	_	SpaceAfter=No
5	well	well	ADV	RB	Degree=Pos	6	advmod	_	_
6	done	do	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	ccomp	_	SpaceAfter=No
7	,	,	PUNCT	,	_	8	punct	_	_
8	nearly	nearly	ADV	RB	_	6	advmod	_	SpaceAfter=No
9	»	»	PUNCT	''	_	6	punct	_	SpaceAfter=No
10	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Ethan's mum |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **do** *in a quote* | participle |  |  |  |  |  | nearly, well *property* | vn act-114-1 «NP V»: agent=Agent |

<!-- .note -->
*Sentence 3:* What should she do?

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:3
# text = What should she do?
1	What	what	PRON	WP	PronType=Int	4	obj	_	_
2	should	should	AUX	MD	VerbForm=Fin	4	aux	_	_
3	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
4	do	do	VERB	VB	VerbForm=Inf	0	root	_	SpaceAfter=No
5	?	?	PUNCT	.	_	4	punct	_	_
```

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

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Praise the guess, because fast is what counts

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:o1:1
# text = Praise the guess, because fast is what counts
1	Praise	praise	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	guess	guess	NOUN	NN	Number=Sing	1	obj	_	SpaceAfter=No
4	,	,	PUNCT	,	_	6	punct	_	_
5	because	because	SCONJ	IN	_	6	mark	_	_
6	fast	fast	ADV	RB	Degree=Pos	1	advmod	_	_
7	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
8	what	what	PRON	WP	PronType=Int	9	nsubj	_	_
9	counts	count	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **praise** | imperative | you *not said here* | the guess |  |  |  | fast *property* | vn judgment-33.1-1 «NP V NP»: agent=Agent guess=Theme |
| 2 | **is a** | present |  |  |  |  |  |  | tree rules |
| 3 | **count** | present |  |  |  |  |  |  | vn matter-91 «NP V»: agent=Stimulus |

### Option 2 · ← Mova's choice · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Point under each letter and ask what it says

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:o2:1
# text = Point under each letter and ask what it says
1	Point	point	NOUN	NN	Number=Sing	6	nsubj	_	_
2	under	under	ADP	IN	_	4	case	_	_
3	each	each	DET	DT	PronType=Tot	4	det	_	_
4	letter	letter	NOUN	NN	Number=Sing	1	nmod	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	ask	ask	VERB	VB	VerbForm=Inf	0	root	_	_
7	what	what	PRON	WP	PronType=Int	9	obj	_	_
8	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	9	nsubj	_	_
9	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **ask** *speech: ask* | infinitive | Point under each letter |  |  |  |  |  | vn inquire-37.1.2 «NP V how S»: agent=Agent clause=Topic |
| 2 | **say** *speech: assert* | present | Point |  |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic |

### Option 3 {#o3}

<!-- .ven lang=en -->
Show him a picture of someone chomping

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:o3:1
# text = Show him a picture of someone chomping
1	Show	show	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	him	he	PRON	PRP	Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs	1	iobj	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	picture	picture	NOUN	NN	Number=Sing	1	obj	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	someone	someone	PRON	NN	Number=Sing|PronType=Ind	4	nmod	_	_
7	chomping	chomp	VERB	VBG	VerbForm=Ger	6	acl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | imperative | you *not said here* | a picture of someone | him *= he* |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP-Dative NP»: agent=Agent he=Recipient picture=Topic |
| 2 | **chomp** | gerund |  |  |  |  |  |  | vn chew-39.2 «NP V»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
Tell him made-up words don't matter

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t7:o4:1
# text = Tell him made-up words don't matter
1	Tell	tell	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	him	he	PRON	PRP	Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs	1	iobj	_	_
3	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	6	amod	_	SpaceAfter=No
4	-	-	PUNCT	HYPH	_	5	punct	_	SpaceAfter=No
5	up	up	ADP	RP	_	3	compound:prt	_	_
6	words	word	NOUN	NNS	Number=Plur	9	nsubj	_	_
7	do	do	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	9	aux	_	SpaceAfter=No
8	n't	not	PART	RB	Polarity=Neg	9	advmod	_	_
9	matter	matter	VERB	VB	VerbForm=Inf	1	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **tell** *speech: assert* | imperative | you *not said here* |  | him *= he* |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP S\_INF»: agent=Agent he=Recipient clause=Topic |
| 2 | **make up** | participle |  |  |  |  |  |  | vn comprise-107.2-1 «NP V NP»: agent=Theme |
| 3 | **not** **matter** | present · do-support | made words |  |  |  |  |  | vn matter-91 «NP V»: agent=Stimulus |

<!-- 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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- ↑ back to [Blending, segmenting and the Year 1 check](https://md.mova.elamur.ai/free/en/corpora/questions/english/2-blending-segmenting-and-the-year-1-check/)