Wolves and dogs, sentence 2

Your dog keeps the wolf's tools: a cold wet nose with hundreds of millions of smell receptors, ears that turn to catch the car coming home before anyone else hears it, and a tongue for panting because dogs hardly sweat.

Who acts: dog, ears, car, anyone, tongue, dogs · What happens: keep, turn, catch, come, hear, pant · To what, where: tools, car, dog

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 (dog, ears, car, anyone), 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	Your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	2 dog	nmod:poss
2	dog	dog	NOUN	Number=Sing	3 keeps	nsubj
3	keeps	keep	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	the	the	DET	Definite=Def PronType=Art	5 wolf	det
5	wolf	wolf	NOUN	Number=Sing	7 tools	nmod:poss
6	's	's	PART	_	5 wolf	case
7	tools	tool	NOUN	Number=Plur	3 keeps	obj
8	:	:	PUNCT	_	12 nose	punct
9	a	a	DET	Definite=Ind PronType=Art	12 nose	det
10	cold	cold	ADJ	Degree=Pos	12 nose	amod
11	wet	wet	ADJ	Degree=Pos	12 nose	amod
12	nose	nose	NOUN	Number=Sing	7 tools	appos
13	with	with	ADP	_	14 hundreds	case
14	hundreds	hundred	NOUN	Number=Plur	12 nose	nmod
15	of	of	ADP	_	16 millions	case
16	millions	million	NOUN	Number=Plur	14 hundreds	nmod
17	of	of	ADP	_	19 receptors	case
18	smell	smell	NOUN	Number=Sing	19 receptors	compound
19	receptors	receptor	NOUN	Number=Plur	16 millions	nmod
20	,	,	PUNCT	_	21 ears	punct
21	ears	ear	NOUN	Number=Plur	12 nose	conj
22	that	that	PRON	PronType=Rel	23 turn	nsubj
23	turn	turn	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	21 ears	acl:relcl
24	to	to	PART	_	25 catch	mark
25	catch	catch	VERB	VerbForm=Inf	23 turn	xcomp
26	the	the	DET	Definite=Def PronType=Art	27 car	det
27	car	car	NOUN	Number=Sing	25 catch	obj
28	coming	come	VERB	VerbForm=Ger	27 car	acl
29	home	home	ADV	_	28 coming	advmod
30	before	before	SCONJ	_	33 hears	mark
31	anyone	anyone	PRON	Number=Sing PronType=Ind	33 hears	nsubj
32	else	else	ADV	_	31 anyone	advmod
33	hears	hear	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	28 coming	advcl
34	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	33 hears	obj
35	,	,	PUNCT	_	38 tongue	punct
36	and	and	CCONJ	_	38 tongue	cc
37	a	a	DET	Definite=Ind PronType=Art	38 tongue	det
38	tongue	tongue	NOUN	Number=Sing	12 nose	conj
39	for	for	SCONJ	_	40 panting	mark
40	panting	pant	VERB	VerbForm=Ger	38 tongue	acl
41	because	because	SCONJ	_	44 sweat	mark
42	dogs	dog	NOUN	Number=Plur	44 sweat	nsubj
43	hardly	hardly	ADV	_	44 sweat	advmod
44	sweat	sweat	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	40 panting	advcl
45	.	.	PUNCT	_	3 keeps	punct

Pragmatics

No stored speech act for this sentence.

#	verb	tense, mood	who	what, whom	other	roles by
1	keep	present	Your dog	the wolf's tools		vn keep-15.2 «NP V NP»: agent=Agent tool=Theme
2	turn	present	ears			tree rules
3	catch	to-infinitive	ears not said here	the car		vn get-13.5.1 «NP V NP»: agent=Agent car=Theme
4	come	gerund	the car not said here		home property	vn escape-51.1-1 «NP V»: agent=Theme
5	hear	present	anyone	dog		vn see-30.1-1-1 «NP V S»: agent=Experiencer it=Stimulus
6	pant	gerund	a tongue not said here			vn manner_speaking-37.3 «NP V»: agent=Agent
7	sweat	present	dogs		hardly property	vn breathe-40.1.2 «NP V»: agent=Agent

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:024-wolves-and-dogs.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 ×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/24-wolves-and-dogs/2/