---
title: Jess says a "harvested" deer means it was picked like an apple. Right? — Soft words for hard things: animals an… · tree and pragmatics
description: Jess says a "harvested" deer means it was picked like an apple. Right? Test 5 · ★ of lesson 18 «Soft words for hard things: animals and pets and money and poverty» of the euphemisms course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's ch
---

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# Test 5 · ★ · Soft words for hard things: animals and pets and money and…

<!-- .ven lang=en -->
Jess says a "harvested" deer means it was picked like an apple. Right?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Jess, harvested deer · **What happens:** say, harvest, mean, pick · **To what, where:** deer · **Speech:** someone speaks here

<!-- .vabout -->
This is test 5 · ★ of lesson 18 «Soft words for hard things: animals and pets and money and poverty» of the euphemisms 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/euphemisms/18-pets-and-money/#t5).

## The question {#question}

<!-- .note -->
*Sentence 1:* Jess says a "harvested" deer means it was picked like an apple.

```conllu
# sent_id = question:euphemisms:18-pets-and-money:t5:1
# text = Jess says a "harvested" deer means it was picked like an apple.
1	Jess	Jess	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
4	"	"	PUNCT	``	_	5	punct	_	SpaceAfter=No
5	harvested	harvest	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	7	amod	_	SpaceAfter=No
6	"	"	PUNCT	''	_	5	punct	_	_
7	deer	deer	NOUN	NN	Number=Sing	8	nsubj	_	_
8	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	ccomp	_	_
9	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	11	nsubj:pass	_	_
10	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	11	aux:pass	_	_
11	picked	pick	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	ccomp	_	_
12	like	like	ADP	IN	_	14	case	_	_
13	an	a	DET	DT	Definite=Ind|PronType=Art	14	det	_	_
14	apple	apple	NOUN	NN	Number=Sing	11	obl	_	SpaceAfter=No
15	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Jess |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **harvest** *in a quote* | participle |  |  |  |  |  |  | tree rules |
| 3 | **mean** | present | a harvested deer |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 4 | **pick** | past · passive |  | deer |  |  |  | like a apple | vn chew-39.2 «NP V NP»: subject=Patient |

<!-- .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:* Right?

```conllu
# sent_id = question:euphemisms:18-pets-and-money:t5:2
# text = Right?
1	Right	right	INTJ	UH	_	0	root	_	SpaceAfter=No
2	?	?	PUNCT	.	_	1	punct	_	_
```

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

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
No, it means it was photographed

```conllu
# sent_id = question:euphemisms:18-pets-and-money:t5:o1:1
# text = No, it means it was photographed
1	No	no	INTJ	UH	Polarity=Neg	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
4	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	7	nsubj:pass	_	_
6	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux:pass	_	_
7	photographed	photograph	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | it |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 2 | **photograph** | past · passive |  | it |  |  |  |  | vn transcribe-25.4 «NP V NP»: subject=Theme |

### Option 2 {#o2}

<!-- .ven lang=en -->
Yes, it means it was fed

```conllu
# sent_id = question:euphemisms:18-pets-and-money:t5:o2:1
# text = Yes, it means it was fed
1	Yes	yes	INTJ	UH	Polarity=Pos	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
4	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	7	nsubj:pass	_	_
6	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux:pass	_	_
7	fed	feed	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	ccomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | it |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 2 | **feed** | past · passive |  | it |  |  |  |  | vn feeding-39.7 «NP V NP PP.recipient»: subject=Theme |

### Option 3 {#o3}

<!-- .ven lang=en -->
Yes, deer grow on farms

```conllu
# sent_id = question:euphemisms:18-pets-and-money:t5:o3:1
# text = Yes, deer grow on farms
1	Yes	yes	INTJ	UH	Polarity=Pos	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	deer	deer	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	grow	grow	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	on	on	ADP	IN	_	6	case	_	_
6	farms	farm	NOUN	NNS	Number=Plur	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **grow** | present | deer |  |  | farms |  |  | vn appear-48.1.1 «NP V PP.location»: agent=Theme on farm=Location |

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

<!-- .ven lang=en -->
No, it means it was killed by a hunter

```conllu
# sent_id = question:euphemisms:18-pets-and-money:t5:o4:1
# text = No, it means it was killed by a hunter
1	No	no	INTJ	UH	Polarity=Neg	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	4	punct	_	_
3	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
4	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	7	nsubj:pass	_	_
6	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux:pass	_	_
7	killed	kill	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	ccomp	_	_
8	by	by	ADP	IN	_	10	case	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
10	hunter	hunter	NOUN	NN	Number=Sing	7	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | it |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 2 | **kill** | past · passive | a hunter | it |  |  |  |  | vn remove-10.1 «NP V NP»: agent=Agent subject=Theme |

<!-- 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 -->

<!-- pn -->
- ← previous: [Soft words for hard things: animals an…, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/18-pets-and-money/t4/)
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