---
title: Which implement did the old man employ to excavate the ground? — Japanese Fairy Tales, The Dog Shiro, p… · tree and pragmatics
description: Which implement did the old man employ to excavate the ground? Exam question 3 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 quest
---

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# Exam question 3 · Japanese Fairy Tales, The Dog Shiro, part 29: the greedy n…

<!-- .ven lang=en -->
Which implement did the old man employ to excavate the ground?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** implement · **What happens:** employ, excavate · **To what, where:** ground

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This is exam question 3 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, asked in stiff, formal language. 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/#e3).

## The question {#question}

```conllu
# sent_id = question:books:1369-pg4018-part29:e3:1
# text = Which implement did the old man employ to excavate the ground?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	implement	implement	NOUN	NN	Number=Sing	7	nsubj	_	_
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	employ	employ	VERB	VB	VerbForm=Inf	0	root	_	_
8	to	to	PART	TO	_	9	mark	_	_
9	excavate	excavate	VERB	VB	VerbForm=Inf	7	xcomp	_	_
10	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
11	ground	ground	NOUN	NN	Number=Sing	9	obj	_	SpaceAfter=No
12	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **employ** | past · do-support | which implement |  |  |  |  |  | vn hire-13.5.3 «NP V NP to be NP»: agent=Agent clause=Attribute |
| 2 | **excavate** | to-infinitive | which implement *not said here* | the ground |  |  |  |  | vn search-35.2 «NP V NP PP.theme»: agent=Agent ground=Location |

<!-- .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 -->
spade

```conllu
# sent_id = question:books:1369-pg4018-part29:e3:o1:1
# text = spade
1	spade	spade	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 2 {#o2}

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

```conllu
# sent_id = question:books:1369-pg4018-part29:e3:o2:1
# text = hammer
1	hammer	hammer	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 {#o3}

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

```conllu
# sent_id = question:books:1369-pg4018-part29:e3:o3:1
# text = rake
1	rake	rake	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

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

```conllu
# sent_id = question:books:1369-pg4018-part29:e3:o4:1
# text = shovel
1	shovel	shovel	NOUN	NN	Number=Sing	0	root	_	_
```

<!-- .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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- ← previous: [Japanese Fairy Tales, The Dog Shiro, p…, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/books/1369-pg4018-part29/e2/)
- next →: [Japanese Fairy Tales, The Dog Shiro, p…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/books/1369-pg4018-part29/e4/)
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