Dogs: from wolves to hundreds of breeds, sentence 2

All dogs come from wolves that started living near people more than fifteen thousand years ago; much later people chose which dogs had puppies, keeping the ones best at a job or with a look they liked.

Who acts: dogs, wolves, people · What happens: come, start, live, choose, have, keep · To what, where: wolves, puppies, ones, look

This is a sentence of the lesson «Dogs: from wolves to hundreds of breeds» 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, wolves, people), what happens, when and where, as Mova's frames read it from the tree.

The tree

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	All	all	DET	PronType=Tot	2 dogs	det
2	dogs	dog	NOUN	Number=Plur	3 come	nsubj
3	come	come	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	from	from	ADP	_	5 wolves	case
5	wolves	wolf	NOUN	Number=Plur	3 come	obl
6	that	that	PRON	PronType=Rel	7 started	nsubj
7	started	start	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	5 wolves	acl:relcl
8	living	live	VERB	VerbForm=Ger	7 started	xcomp
9	near	near	ADP	_	10 people	case
10	people	people	NOUN	Number=Plur	8 living	obl
11	more	more	ADJ	Degree=Cmp ExtPos=ADV	14 thousand	advmod
12	than	than	ADP	_	11 more	fixed
13	fifteen	fifteen	NUM	NumForm=Word NumType=Card	14 thousand	compound
14	thousand	thousand	NUM	NumForm=Word NumType=Card	15 years	nummod
15	years	year	NOUN	Number=Plur	16 ago	obl:unmarked
16	ago	ago	ADV	_	10 people	advmod
17	;	;	PUNCT	_	21 chose	punct
18	much	much	ADV	_	19 later	advmod
19	later	late	ADV	Degree=Cmp	21 chose	advmod
20	people	people	NOUN	Number=Plur	21 chose	nsubj
21	chose	choose	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 come	parataxis
22	which	which	DET	PronType=Int	23 dogs	det
23	dogs	dog	NOUN	Number=Plur	24 had	nsubj
24	had	have	VERB	Mood=Ind Tense=Past VerbForm=Fin	21 chose	ccomp
25	puppies	puppy	NOUN	Number=Plur	24 had	obj
26	,	,	PUNCT	_	27 keeping	punct
27	keeping	keep	VERB	Tense=Pres VerbForm=Part	21 chose	advcl
28	the	the	DET	Definite=Def PronType=Art	29 ones	det
29	ones	one	NOUN	Number=Plur	27 keeping	obj
30	best	good	ADJ	Degree=Sup	27 keeping	xcomp
31	at	at	ADP	_	33 job	case
32	a	a	DET	Definite=Ind PronType=Art	33 job	det
33	job	job	NOUN	Number=Sing	30 best	obl
34	or	or	CCONJ	_	37 look	cc
35	with	with	ADP	_	37 look	case
36	a	a	DET	Definite=Ind PronType=Art	37 look	det
37	look	look	NOUN	Number=Sing	33 job	conj
38	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	39 liked	nsubj
39	liked	like	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	37 look	acl:relcl
40	.	.	PUNCT	_	3 come	punct

Pragmatics

form: statement
act: assert
voice: narrator
polarity: none
teacher: kept the draft

#	verb	tense, mood	who	what, whom	where	other	roles by
1	come	present	all dogs		wolves		vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme from wolf=Initial_Location
2	start	past	wolves				vn begin-55.1-1-1 «NP V S_ING»: agent=Agent clause=Eventuality
3	live	gerund	wolves not said here			near people	vn exist-47.1-1 «NP V PP.location»: agent=Theme near people=Location
4	choose	past	people			late property	tree rules
5	have	past	which dogs	puppies			vn birth-28.2-1 «NP V NP»: agent=Agent puppy=Patient
6	keep	gerund	people not said here	the ones		good property	vn keep-15.2 «NP V NP»: agent=Agent one=Theme
7	like	past	dogs = dog	a look not said here			vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot look=Theme

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.

Licence: CC 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:192-dogs-from-wolves-to-hundreds-of-breeds.lesson:2.

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 ×2, R7-rel-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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/biology/192-dogs-from-wolves-to-hundreds-of-breeds/2/