---
title: Every pet dog, from a tiny chihuahua to a Great Dane, comes from wol… — Wolves and dogs · tree and pragmatics
description: Every pet dog, from a tiny chihuahua to a Great Dane, comes from wolves that began living alongside people more than 15,000 years ago; people kept the friendliest ones, and over thousands of years they became dogs. Who acts: pet dog, wolves, people. A sentence of the lesson «Wolves and dogs» of the 
---

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# Wolves and dogs, sentence 0

<!-- .ven lang=en -->
Every pet dog, from a tiny chihuahua to a Great Dane, comes from wolves that began living alongside people more than 15,000 years ago; people kept the friendliest ones, and over thousands of years they became dogs.

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**Who acts:** pet dog, wolves, people · **What happens:** come, begin, live, keep, become · **To what, where:** wolves, friendliest ones, dogs, thousands

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This is a sentence of the lesson «Wolves and dogs» 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 (pet dog, wolves, people), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:024-wolves-and-dogs.lesson:0
# text = Every pet dog, from a tiny chihuahua to a Great Dane, comes from wolves that began living alongside people more than 15,000 years ago; people kept the friendliest ones, and over thousands of years they became dogs.
# source = school lesson (ours)
# course = biology
# lesson = 024-wolves-and-dogs.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 ×1, R8-pos-agree ×1
1	Every	every	DET	DT	PronType=Tot	3	det	_	_
2	pet	pet	NOUN	NN	Number=Sing	3	compound	_	_
3	dog	dog	NOUN	NN	Number=Sing	14	nsubj	_	_
4	,	,	PUNCT	,	_	8	punct	_	_
5	from	from	ADP	IN	_	8	case	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	8	det	_	_
7	tiny	tiny	ADJ	JJ	Degree=Pos	8	amod	_	_
8	chihuahua	chihuahua	NOUN	NN	Number=Sing	3	nmod	_	Agree=R7-rel-agree|Haiku=3:appos
9	to	to	ADP	IN	_	12	case	_	_
10	a	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
11	Great	great	ADJ	JJ	Degree=Pos	12	amod	_	_
12	Dane	dane	PROPN	NNP	Number=Sing	8	nmod	_	Agree=R8-pos-agree|Haiku=8:nmod|HaikuPos=NOUN:NN:Number=Sing
13	,	,	PUNCT	,	_	3	punct	_	_
14	comes	come	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
15	from	from	ADP	IN	_	16	case	_	_
16	wolves	wolf	NOUN	NNS	Number=Plur	14	obl	_	_
17	that	that	PRON	WDT	PronType=Rel	18	nsubj	_	_
18	began	begin	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	16	acl:relcl	_	_
19	living	live	VERB	VBG	VerbForm=Ger	18	xcomp	_	_
20	alongside	alongside	ADP	IN	_	21	case	_	_
21	people	people	NOUN	NNS	Number=Plur	19	obl	_	_
22	more	more	ADJ	JJR	Degree=Cmp|ExtPos=ADV	24	advmod	_	_
23	than	than	ADP	IN	_	22	fixed	_	_
24	15,000	15000	NUM	CD	NumForm=Digit|NumType=Card	25	nummod	_	_
25	years	year	NOUN	NNS	Number=Plur	26	obl:unmarked	_	_
26	ago	ago	ADV	RB	_	21	advmod	_	_
27	;	;	PUNCT	,	_	29	punct	_	_
28	people	people	NOUN	NNS	Number=Plur	29	nsubj	_	_
29	kept	keep	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	14	parataxis	_	_
30	the	the	DET	DT	Definite=Def|PronType=Art	32	det	_	_
31	friendliest	friendly	ADJ	JJS	Degree=Sup	32	amod	_	_
32	ones	one	NOUN	NNS	Number=Plur	29	obj	_	_
33	,	,	PUNCT	,	_	40	punct	_	_
34	and	and	CCONJ	CC	_	40	cc	_	_
35	over	over	ADP	IN	_	36	case	_	_
36	thousands	thousand	NOUN	NNS	Number=Plur	40	obl	_	_
37	of	of	ADP	IN	_	38	case	_	_
38	years	year	NOUN	NNS	Number=Plur	36	nmod	_	_
39	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	40	nsubj	_	_
40	became	become	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	29	conj	_	_
41	dogs	dog	NOUN	NNS	Number=Plur	40	xcomp	_	_
42	.	.	PUNCT	.	_	14	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **come** | present | every pet dog from a tiny chihuahua to a Great Dane |  |  | wolves |  |  | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from wolf=Initial\_Location |
| 2 | **begin** | past | wolves |  |  |  |  |  | vn begin-55.1-1-1 «NP V S\_ING»: agent=Agent clause=Eventuality |
| 3 | **live** | gerund | wolves *not said here* |  |  |  |  | alongside people | vn exist-47.1-1 «NP V PP.location»: agent=Theme alongside people=Location |
| 4 | **keep** | past | people | the friendliest ones |  |  |  |  | vn keep-15.2 «NP V NP»: agent=Agent one=Theme |
| 5 | **become** | past | people | dogs |  | thousands of years |  |  | vn become-109.1-1-1 «NP V PP.attribute»: agent=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.

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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:024-wolves-and-dogs.lesson:0`.

**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 ×1, R8-pos-agree ×1. **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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