---
title: Wolves that were less afraid came near camps for scraps, the tamest… — Dogs from wolves to best friends: living with do… · tree and pragmatics
description: Wolves that were less afraid came near camps for scraps, the tamest stayed and had puppies, and over thousands of years they became dogs that read our faces and follow our pointing fingers. Who acts: Wolves, tamest, dogs. A sentence of the lesson «Dogs from wolves to best friends: living with dogs t
---

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# Dogs from wolves to best friends: living with dogs today, sentence 1

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Wolves that were less afraid came near camps for scraps, the tamest stayed and had puppies, and over thousands of years they became dogs that read our faces and follow our pointing fingers.

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**Who acts:** Wolves, tamest, dogs · **What happens:** be, come, stay, have, become, read · **To what, where:** camps, puppies, dogs, thousands, faces, pointing fingers

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This is a sentence of the lesson «Dogs from wolves to best friends: living with dogs today» 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 (Wolves, tamest, dogs), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:292-dogs-from-wolves-to-best-friends-living-with-dogs-today.lesson:1
# text = Wolves that were less afraid came near camps for scraps, the tamest stayed and had puppies, and over thousands of years they became dogs that read our faces and follow our pointing fingers.
# source = school lesson (ours)
# course = biology
# lesson = 292-dogs-from-wolves-to-best-friends-living-with-dogs-today.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): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×4, R8-pos-agree ×1
1	Wolves	wolf	NOUN	NNS	Number=Plur	6	nsubj	_	_
2	that	that	PRON	WDT	PronType=Rel	5	nsubj	_	_
3	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	5	cop	_	_
4	less	less	ADV	RBR	Degree=Cmp	5	advmod	_	_
5	afraid	afraid	ADJ	JJ	Degree=Pos	1	acl:relcl	_	_
6	came	come	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
7	near	near	ADP	IN	_	8	case	_	Agree=R7-rel-agree|Haiku=8:amod|HaikuPos=ADJ:JJ:Degree=Pos
8	camps	camp	NOUN	NNS	Number=Plur	6	obl	_	Agree=R7-rel-agree|Haiku=6:obj
9	for	for	ADP	IN	_	10	case	_	_
10	scraps	scrap	NOUN	NNS	Number=Plur	6	obl	_	Agree=R5-strong|Haiku=8:nmod
11	,	,	PUNCT	,	_	14	punct	_	Agree=R6-punct-agree|Haiku=17:punct
12	the	the	DET	DT	Definite=Def|PronType=Art	13	det	_	_
13	tamest	tame	ADJ	JJS	Degree=Sup	14	nsubj	_	_
14	stayed	stay	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	6	parataxis	_	Agree=R7-rel-agree|Haiku=6:conj
15	and	and	CCONJ	CC	_	16	cc	_	_
16	had	have	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	14	conj	_	_
17	puppies	puppy	NOUN	NNS	Number=Plur	16	obj	_	_
18	,	,	PUNCT	,	_	25	punct	_	_
19	and	and	CCONJ	CC	_	25	cc	_	_
20	over	over	ADP	IN	_	21	case	_	_
21	thousands	thousand	NOUN	NNS	Number=Plur	25	obl	_	_
22	of	of	ADP	IN	_	23	case	_	_
23	years	year	NOUN	NNS	Number=Plur	21	nmod	_	_
24	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	25	nsubj	_	_
25	became	become	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	6	conj	_	_
26	dogs	dog	NOUN	NNS	Number=Plur	25	xcomp	_	Agree=R7-rel-agree|Haiku=25:obj
27	that	that	PRON	WDT	PronType=Rel	28	nsubj	_	_
28	read	read	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	26	acl:relcl	_	Agree=R8-pos-agree|Haiku=26:acl:relcl|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin
29	our	our	PRON	PRP$	Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs	30	nmod:poss	_	_
30	faces	face	NOUN	NNS	Number=Plur	28	obj	_	_
31	and	and	CCONJ	CC	_	32	cc	_	_
32	follow	follow	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	28	conj	_	_
33	our	our	PRON	PRP$	Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs	35	nmod:poss	_	_
34	pointing	pointing	NOUN	NN	Number=Sing	35	compound	_	_
35	fingers	finger	NOUN	NNS	Number=Plur	32	obj	_	_
36	.	.	PUNCT	.	_	6	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 | **is** | past | Wolves |  |  |  |  | afraid, less *property* | tree rules |
| 2 | **come** | past | Wolves |  |  | camps |  | for scraps | vn appear-48.1.1 «NP V PP.location»: agent=Theme near camp=Location |
| 3 | **stay** | past | the tamest |  |  |  |  |  | vn exist-47.1 «NP V»: agent=Theme |
| 4 | **have** | past | the tamest *not said here* | puppies |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent puppy=Patient |
| 5 | **become** | past | Wolves *= wolf* | dogs |  | thousands of years |  |  | vn become-109.1-1-1 «NP V PP.attribute»: agent=Patient |
| 6 | **read** | past | dogs | our faces |  |  |  |  | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent face=Topic |
| 7 | **follow** | present | dogs *not said here* | our pointing fingers |  |  |  |  | vn chase-51.6 «NP V NP»: agent=Agent finger=Theme |

<!-- .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:292-dogs-from-wolves-to-best-friends-living-with-dogs-today.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): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×4, 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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