---
title: Farmers, hunters and officials often use dry words like "culled", "p… — Soft words for hard things: animals and pets and… · tree and pragmatics
description: Farmers, hunters and officials often use dry words like "culled", "processed" or "pest control" so killing sounds like ordinary work. Who acts: Farmers, killing. A sentence of the lesson «Soft words for hard things: animals and pets and money and poverty» of the euphemisms course of Mova's primary s
---

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# Soft words for hard things: animals and pets and money and poverty, sentence 1

<!-- .ven lang=en -->
Farmers, hunters and officials often use dry words like "culled", "processed" or "pest control" so killing sounds like ordinary work.

<!-- .vintro -->
**Who acts:** Farmers, killing · **What happens:** use, cull, process, sound · **To what, where:** dry words

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This is a sentence of the lesson «Soft words for hard things: animals and pets and money and poverty» of the euphemisms course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Farmers, killing), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:euphemisms:018-pets-and-money.lesson:1
# text = Farmers, hunters and officials often use dry words like "culled", "processed" or "pest control" so killing sounds like ordinary work.
# source = school lesson (ours)
# course = euphemisms
# lesson = 018-pets-and-money.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R7-rel-agree ×1, R8-pos-agree ×2
1	Farmers	farmer	NOUN	NNS	Number=Plur	7	nsubj	_	_
2	,	,	PUNCT	,	_	3	punct	_	_
3	hunters	hunter	NOUN	NNS	Number=Plur	1	conj	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	officials	official	NOUN	NNS	Number=Plur	1	conj	_	_
6	often	often	ADV	RB	_	7	advmod	_	_
7	use	use	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
8	dry	dry	ADJ	JJ	Degree=Pos	9	amod	_	_
9	words	word	NOUN	NNS	Number=Plur	7	obj	_	_
10	like	like	ADP	IN	_	12	case	_	_
11	"	"	PUNCT	``	_	12	punct	_	_
12	culled	cull	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	9	nmod	_	_
13	"	"	PUNCT	''	_	12	punct	_	_
14	,	,	PUNCT	,	_	16	punct	_	_
15	"	"	PUNCT	``	_	16	punct	_	Agree=R8-pos-agree|Haiku=16:punct|HaikuPos=PUNCT:'':_
16	processed	process	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	12	conj	_	_
17	"	"	PUNCT	''	_	16	punct	_	_
18	or	or	CCONJ	CC	_	21	cc	_	_
19	"	"	PUNCT	``	_	21	punct	_	_
20	pest	pest	NOUN	NN	Number=Sing	21	compound	_	_
21	control	control	NOUN	NN	Number=Sing	12	conj	_	Agree=R3-conj-first|Haiku=16:conj
22	"	"	PUNCT	''	_	21	punct	_	_
23	so	so	ADV	RB	_	25	advmod	_	Agree=R7-rel-agree|Haiku=25:mark|HaikuPos=SCONJ:IN:_
24	killing	killing	NOUN	NN	Number=Sing	25	nsubj	_	Agree=R8-pos-agree|Haiku=25:nsubj|HaikuPos=VERB:VBG:Tense=Pres|VerbForm=Part
25	sounds	sound	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	advcl	_	_
26	like	like	ADP	IN	_	28	case	_	_
27	ordinary	ordinary	ADJ	JJ	Degree=Pos	28	amod	_	_
28	work	work	NOUN	NN	Number=Sing	25	obl	_	_
29	.	.	PUNCT	.	_	7	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | present | Farmers and hunters and officials | dry words |  |  |  | often *property* | vn eat-39.1 «NP V NP»: agent=Agent word=Patient |
| 2 | **cull** *in a quote* | participle |  |  |  |  |  |  | vn cheat-10.6.1-1-1 «NP V NP»: agent=Agent |
| 3 | **process** *in a quote* | participle |  |  |  |  |  |  | tree rules |
| 4 | **sound** | present | killing |  |  |  |  | like ordinary work | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |

<!-- .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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:euphemisms:018-pets-and-money.lesson:1`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R7-rel-agree ×1, R8-pos-agree ×2. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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