---
title: yo what did the old man say to make Shiro beg? — Japanese Fairy Tales, The Dog Shiro, p… · tree and pragmatics
description: yo what did the old man say to make Shiro beg? Test 7 · ★ of lesson 1369 «Japanese Fairy Tales, The Dog Shiro, part 29: the greedy neighbour borrows the magic mortar and breaks it» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each optio
---

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# Test 7 · ★ · Japanese Fairy Tales, The Dog Shiro, part 29: the greedy n…

<!-- .ven lang=en -->
yo what did the old man say to make Shiro beg?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 4 · wrong ✗ · **Who acts:** old man, Shiro · **What happens:** say, make, beg · **Speech:** someone speaks here

<!-- .vabout -->
This is test 7 · ★ of lesson 1369 «Japanese Fairy Tales, The Dog Shiro, part 29: the greedy neighbour borrows the magic mortar and breaks it» 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/1369-pg4018-part29/#t7).

## The question {#question}

```conllu
# sent_id = question:books:1369-pg4018-part29:t7:1
# text = yo what did the old man say to make Shiro beg?
1	yo	yo	INTJ	UH	_	7	discourse	_	_
2	what	what	PRON	WP	PronType=Int	7	obj	_	_
3	did	do	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
5	old	old	ADJ	JJ	Degree=Pos	6	amod	_	_
6	man	man	NOUN	NN	Number=Sing	7	nsubj	_	_
7	say	say	VERB	VB	VerbForm=Inf	0	root	_	_
8	to	to	PART	TO	_	9	mark	_	_
9	make	make	VERB	VB	VerbForm=Inf	7	xcomp	_	_
10	Shiro	Shiro	PROPN	NNP	Number=Sing	11	nsubj	_	_
11	beg	beg	VERB	VB	VerbForm=Inf	9	xcomp	_	SpaceAfter=No
12	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | past · do-support | the old man |  |  |  |  |  | tree rules |
| 2 | **make** | to-infinitive | the old man *not said here* |  |  |  |  |  | tree rules |
| 3 | **beg** *speech: request* | infinitive | Shiro |  |  |  |  |  | vn beg-58.2-1-1 «NP V PP.Topic»: 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.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Good dog, sit!

```conllu
# sent_id = question:books:1369-pg4018-part29:t7:o1:1
# text = Good dog, sit!
1	Good	good	ADJ	JJ	Degree=Pos	2	amod	_	_
2	dog	dog	NOUN	NN	Number=Sing	4	nsubj	_	SpaceAfter=No
3	,	,	PUNCT	,	_	2	punct	_	_
4	sit	sit	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 | **sit** | infinitive | Good dog |  |  |  |  |  | vn assuming\_position-50 «NP V»: agent=Agent |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
Chin, chin, Shiro, beg for food now!

```conllu
# sent_id = question:books:1369-pg4018-part29:t7:o2:1
# text = Chin, chin, Shiro, beg for food now!
1	Chin	chin	NOUN	NN	Number=Sing	5	nsubj	_	SpaceAfter=No
2	,	,	PUNCT	,	_	3	punct	_	_
3	chin	chin	NOUN	NN	Number=Sing	1	conj	_	SpaceAfter=No
4	,	,	PUNCT	,	_	5	punct	_	_
5	Shiro	Shiro	PROPN	NNP	Number=Sing	0	root	_	SpaceAfter=No
6	,	,	PUNCT	,	_	7	punct	_	_
7	beg	beg	NOUN	NN	Number=Sing	5	appos	_	_
8	for	for	ADP	IN	_	9	case	_	_
9	food	food	NOUN	NN	Number=Sing	7	nmod	_	_
10	now	now	ADV	RB	PronType=Dem	7	advmod	_	SpaceAfter=No
11	!	!	PUNCT	.	_	5	punct	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
Shiro, speak!

```conllu
# sent_id = question:books:1369-pg4018-part29:t7:o3:1
# text = Shiro, speak!
1	Shiro	Shiro	PROPN	NNP	Number=Sing	3	nsubj	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	speak	speak	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	SpaceAfter=No
4	!	!	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **speak** *speech: other* | infinitive | Shiro |  |  |  |  |  | vn talk-37.5 «NP V»: agent=Agent |

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Chin, chin!

```conllu
# sent_id = question:books:1369-pg4018-part29:t7:o4:1
# text = Chin, chin!
1	Chin	chin	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
2	,	,	PUNCT	,	_	3	punct	_	_
3	chin	chin	NOUN	NN	Number=Sing	1	conj	_	SpaceAfter=No
4	!	!	PUNCT	.	_	1	punct	_	_
```

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

<!-- 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.

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- ← previous: [Japanese Fairy Tales, The Dog Shiro, p…, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/books/1369-pg4018-part29/t6/)
- next →: [Japanese Fairy Tales, The Dog Shiro, p…, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/books/1369-pg4018-part29/t8/)
- ↑ back to [Japanese Fairy Tales, The Dog Shiro, part 29: the greedy neighbour borrows the magic mortar and breaks it](https://md.mova.elamur.ai/free/en/corpora/questions/books/1369-pg4018-part29/)

