---
title: Dogs come from wolves, and people chose which dogs had puppies and o… — Natural selection we can watch: moths, finches,… · tree and pragmatics
description: Dogs come from wolves, and people chose which dogs had puppies and over many generations made the breeds; this is artificial selection, Darwin's favourite example along with pigeons. Who acts: Dogs, people, this, Darwin. A sentence of the lesson «Natural selection we can watch: moths, finches, germs
---

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# Natural selection we can watch: moths, finches, germs and tuskless elephants, sentence 13

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Dogs come from wolves, and people chose which dogs had puppies and over many generations made the breeds; this is artificial selection, Darwin's favourite example along with pigeons.

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**Who acts:** Dogs, people, this, Darwin · **What happens:** come, choose, have, make, be, exemplify · **To what, where:** wolves, puppies, many generations, artificial selection

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This is a sentence of the lesson «Natural selection we can watch: moths, finches, germs and tuskless elephants» of the biology 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 (Dogs, people, this, Darwin), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:279-natural-selection-we-can-watch-moths-finches-germs-and-tuskless-elephants.lesson:13
# text = Dogs come from wolves, and people chose which dogs had puppies and over many generations made the breeds; this is artificial selection, Darwin's favourite example along with pigeons.
# source = school lesson (ours)
# course = biology
# lesson = 279-natural-selection-we-can-watch-moths-finches-germs-and-tuskless-elephants.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): R7-rel-agree ×2, R8-pos-agree ×2
1	Dogs	dog	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	come	come	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	from	from	ADP	IN	_	4	case	_	_
4	wolves	wolf	NOUN	NNS	Number=Plur	2	obl	_	_
5	,	,	PUNCT	,	_	8	punct	_	_
6	and	and	CCONJ	CC	_	8	cc	_	_
7	people	people	NOUN	NNS	Number=Plur	8	nsubj	_	_
8	chose	choose	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	conj	_	Agree=R8-pos-agree|Haiku=2:conj|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin
9	which	which	DET	WDT	PronType=Rel	10	det	_	_
10	dogs	dog	NOUN	NNS	Number=Plur	11	nsubj	_	_
11	had	have	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	8	ccomp	_	Agree=R7-rel-agree|Haiku=8:conj
12	puppies	puppy	NOUN	NNS	Number=Plur	11	obj	_	_
13	and	and	CCONJ	CC	_	17	cc	_	_
14	over	over	ADV	RB	_	15	advmod	_	_
15	many	many	ADJ	JJ	Degree=Pos	16	amod	_	_
16	generations	generation	NOUN	NNS	Number=Plur	17	obl:unmarked	_	_
17	made	make	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	8	conj	_	Agree=R8-pos-agree|Haiku=8:conj|HaikuPos=VERB:VBN:Tense=Past|VerbForm=Part|Voice=Pass
18	the	the	DET	DT	Definite=Def|PronType=Art	19	det	_	_
19	breeds	breed	NOUN	NNS	Number=Plur	17	obj	_	_
20	;	;	PUNCT	:	_	24	punct	_	_
21	this	this	PRON	DT	Number=Sing|PronType=Dem	24	nsubj	_	_
22	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	cop	_	_
23	artificial	artificial	ADJ	JJ	Degree=Pos	24	amod	_	_
24	selection	selection	NOUN	NN	Number=Sing	2	parataxis	_	_
25	,	,	PUNCT	,	_	29	punct	_	_
26	Darwin	Darwin	PROPN	NNP	Number=Sing	29	nmod:poss	_	_
27	's	's	PART	POS	_	26	case	_	_
28	favourite	favourite	ADJ	JJ	Degree=Pos	29	amod	_	_
29	example	example	NOUN	NN	Number=Sing	24	appos	_	Agree=R7-rel-agree|Haiku=24:nmod
30	along	along	ADP	IN	_	32	case	_	_
31	with	with	ADP	IN	_	30	fixed	_	_
32	pigeons	pigeon	NOUN	NNS	Number=Plur	29	nmod	_	_
33	.	.	PUNCT	.	_	2	punct	_	_
```

## Pragmatics {#pragmatics}

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- 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 | **come** | present | Dogs |  |  | wolves |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from wolf=Initial\_Location |
| 2 | **choose** | past | people |  |  |  |  |  | tree rules |
| 3 | **have** | past | which dogs | puppies |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent puppy=Patient |
| 4 | **make** | past | people *not said here* | many generations |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset breed=Product |
| 5 | **is a** | present | this | artificial selection |  |  |  |  | tree rules |
| 6 | **exemplify** |  | Darwin |  |  |  |  | along pigeons | nom example «cognition transitive»: poss=agent along=obl |

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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:biology:279-natural-selection-we-can-watch-moths-finches-germs-and-tuskless-elephants.lesson:13`.

**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): R7-rel-agree ×2, 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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