---
title: A cartoon robot reads «sandwich» by shouting all eight sounds at onc… — Blending, segmenting and the Year 1 ch… · tree and pragmatics
description: A cartoon robot reads «sandwich» by shouting all eight sounds at once. What do real readers do? Test 8 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
---

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# Test 8 · Blending, segmenting and the Year 1 check

<!-- .ven lang=en -->
A cartoon robot reads «sandwich» by shouting all eight sounds at once. What do real readers do?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** cartoon robot, eight sounds, real readers · **What happens:** read, shout, be, do · **To what, where:** sandwich

<!-- .vabout -->
This is test 8 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/#t8).

## The question {#question}

<!-- .note -->
*Sentence 1:* A cartoon robot reads «sandwich» by shouting all eight sounds at once.

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t8:1
# text = A cartoon robot reads «sandwich» by shouting all eight sounds at once.
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	cartoon	cartoon	NOUN	NN	Number=Sing	3	compound	_	_
3	robot	robot	NOUN	NN	Number=Sing	4	nsubj	_	_
4	reads	read	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	«	«	PUNCT	``	_	6	punct	_	SpaceAfter=No
6	sandwich	sandwich	NOUN	NN	Number=Sing	4	obj	_	SpaceAfter=No
7	»	»	PUNCT	''	_	6	punct	_	_
8	by	by	SCONJ	IN	_	9	mark	_	_
9	shouting	shout	VERB	VBG	Tense=Pres|VerbForm=Part	4	advcl	_	_
10	all	all	DET	DT	PronType=Tot	12	det	_	_
11	eight	eight	NUM	CD	NumForm=Word|NumType=Card	12	nummod	_	_
12	sounds	sound	NOUN	NNS	Number=Plur	9	obj	_	_
13	at	at	ADP	IN	_	14	case	_	_
14	once	once	ADV	RB	NumForm=Word|NumType=Mult	9	obl	_	SpaceAfter=No
15	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **read** | present | a cartoon robot | sandwich |  |  |  |  | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent sandwich=Topic |
| 2 | **shout** *speech: express* | gerund | all eight sounds |  |  |  |  |  | vn manner\_speaking-37.3 «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 do real readers do?

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t8:2
# text = What do real readers do?
1	What	what	PRON	WP	PronType=Int	0	root	_	_
2	do	do	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	real	real	ADJ	JJ	Degree=Pos	4	amod	_	_
4	readers	reader	NOUN	NNS	Number=Plur	5	nsubj	_	_
5	do	do	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	acl:relcl	_	SpaceAfter=No
6	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present |  |  |  |  |  |  | tree rules |
| 2 | **do** | present | real readers |  |  |  |  |  | vn act-114-1 «NP V»: agent=Agent |

## The options {#options}

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

<!-- .ven lang=en -->
Read it chunk by chunk, sand then wich, then join

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t8:o1:1
# text = Read it chunk by chunk, sand then wich, then join
1	Read	read	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	1	obj	_	_
3	chunk	chunk	VERB	VB	VerbForm=Inf	1	xcomp	_	_
4	by	by	ADP	IN	_	5	case	_	_
5	chunk	chunk	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
6	,	,	PUNCT	,	_	7	punct	_	_
7	sand	sand	NOUN	NN	Number=Sing	5	conj	_	_
8	then	then	ADV	RB	PronType=Dem	9	advmod	_	_
9	wich	wich	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
10	,	,	PUNCT	,	_	12	punct	_	_
11	then	then	ADV	RB	PronType=Dem	12	advmod	_	_
12	join	join	VERB	VB	Mood=Imp|VerbForm=Fin	1	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **read** | imperative | you *not said here* | it |  |  |  |  | tree rules |
| 2 | **chunk** | infinitive | you *not said here* | wich |  |  |  | by chunk and sand | vn classify-29.10 «NP V NP»: agent=Agent |
| 3 | **join** | infinitive | you *not said here* |  |  |  | then |  | vn mix-22.1-2-1 «NP V»: agent=Patient |

### Option 2 {#o2}

<!-- .ven lang=en -->
Learn the whole word as a shape, like a picture

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t8:o2:1
# text = Learn the whole word as a shape, like a picture
1	Learn	learn	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	whole	whole	ADJ	JJ	Degree=Pos	4	amod	_	_
4	word	word	NOUN	NN	Number=Sing	1	obj	_	_
5	as	as	ADP	IN	_	7	case	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	shape	shape	NOUN	NN	Number=Sing	1	obl	_	SpaceAfter=No
8	,	,	PUNCT	,	_	11	punct	_	_
9	like	like	ADP	IN	_	11	case	_	_
10	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
11	picture	picture	NOUN	NN	Number=Sing	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **learn** | imperative | you *not said here* | the whole word |  |  |  | as a shape; like a picture | vn learn-14-2-1 «NP V NP»: agent=Agent word=Topic |

### Option 3 {#o3}

<!-- .ven lang=en -->
Give up and skip all the long words, because only short words can be sounded out

<!-- fold The tree, 16 words -->
```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t8:o3:1
# text = Give up and skip all the long words, because only short words can be sounded out
1	Give	give	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	up	up	ADP	RP	_	1	compound:prt	_	_
3	and	and	CCONJ	CC	_	4	cc	_	_
4	skip	skip	VERB	VB	Mood=Imp|VerbForm=Fin	1	conj	_	_
5	all	all	DET	PDT	PronType=Tot	8	det:predet	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
7	long	long	ADJ	JJ	Degree=Pos	8	amod	_	_
8	words	word	NOUN	NNS	Number=Plur	4	obj	_	SpaceAfter=No
9	,	,	PUNCT	,	_	16	punct	_	_
10	because	because	SCONJ	IN	_	16	mark	_	_
11	only	only	ADV	RB	_	13	advmod	_	_
12	short	short	ADJ	JJ	Degree=Pos	13	amod	_	_
13	words	word	NOUN	NNS	Number=Plur	16	nsubj:pass	_	_
14	can	can	AUX	MD	VerbForm=Fin	16	aux	_	_
15	be	be	AUX	VB	VerbForm=Inf	16	aux:pass	_	_
16	sounded	sound	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	parataxis	_	_
17	out	out	ADP	RP	_	16	compound:prt	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give up** | imperative | you *not said here* |  |  |  |  |  | vn resign-10.11-2 «NP V»: agent=Agent |
| 2 | **skip** | infinitive | you *not said here* | all long words |  |  |  |  | vn run-51.3.2-2 «NP V NP»: agent=Agent word=Agent |
| 3 | **sound out** | can · passive |  | short words |  |  |  |  | vn sound\_emission-43.2 «PP.location V NP»: subject=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
Shout every letter's name in turn

```conllu
# sent_id = question:english:2-blending-segmenting-and-the-year-1-check:t8:o4:1
# text = Shout every letter's name in turn
1	Shout	shout	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	every	every	DET	DT	PronType=Tot	3	det	_	_
3	letter	letter	NOUN	NN	Number=Sing	5	nmod:poss	_	SpaceAfter=No
4	's	's	PART	POS	_	3	case	_	_
5	name	name	NOUN	NN	Number=Sing	1	obj	_	_
6	in	in	ADP	IN	_	7	case	_	_
7	turn	turn	NOUN	NN	Number=Sing	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **shout** *speech: express* | imperative | you *not said here* | every letter's name |  | turn |  |  | vn manner\_speaking-37.3 «NP V NP»: agent=Agent name=Topic |
| 2 | **name** |  | every letter |  |  |  |  |  | nom name «communication transitive»: poss=agent |

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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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- ← previous: [Blending, segmenting and the Year 1 ch…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/english/2-blending-segmenting-and-the-year-1-check/t7/)
- next →: [Blending, segmenting and the Year 1 ch…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/english/2-blending-segmenting-and-the-year-1-check/t9/)
- ↑ 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/)