The future: hopes, sentence 1

Mia asks whether robots will do all the housework, and Dad says, "I hope so, especially ironing." Real home robots today are still clumsy and expensive: a robot that can fold a crumpled shirt as well as Dad is much harder to build than one that wins at chess, because real homes are messy and every object is different.

Who acts: Mia, robots, Dad, Real home robots, robot, real homes · What happens: ask, do, say, hope, iron, be · To what, where: housework, crumpled shirt, one, chess · Speech: someone speaks here

This is a sentence of the lesson «The future: hopes» of the ai 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 (Mia, robots, Dad, Real home robots), 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	Mia	Mia	PROPN	Number=Sing	2 asks	nsubj
2	asks	ask	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	whether	whether	SCONJ	_	6 do	mark
4	robots	robot	NOUN	Number=Plur	6 do	nsubj
5	will	will	AUX	VerbForm=Fin	6 do	aux
6	do	do	VERB	VerbForm=Inf	2 asks	ccomp
7	all	all	DET	PronType=Tot	9 housework	det:predet
8	the	the	DET	Definite=Def PronType=Art	9 housework	det
9	housework	housework	NOUN	Number=Sing	6 do	obj
10	,	,	PUNCT	_	13 says	punct
11	and	and	CCONJ	_	13 says	cc
12	Dad	dad	NOUN	Number=Sing	13 says	nsubj
13	says	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	2 asks	conj
14	,	,	PUNCT	_	17 hope	punct
15	"	"	PUNCT	_	17 hope	punct
16	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	17 hope	nsubj
17	hope	hope	VERB	Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin	13 says	ccomp
18	so	so	ADV	_	17 hope	advmod
19	,	,	PUNCT	_	21 ironing	punct
20	especially	especially	ADV	_	21 ironing	advmod
21	ironing	iron	VERB	VerbForm=Ger	17 hope	xcomp
22	.	.	PUNCT	_	2 asks	punct
23	"	"	PUNCT	_	30 clumsy	punct
24	Real	real	ADJ	Degree=Pos	26 robots	amod
25	home	home	NOUN	Number=Sing	26 robots	compound
26	robots	robot	NOUN	Number=Plur	30 clumsy	nsubj
27	today	today	NOUN	Number=Sing	30 clumsy	obl:unmarked
28	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	30 clumsy	cop
29	still	still	ADV	_	30 clumsy	advmod
30	clumsy	clumsy	ADJ	Degree=Pos	2 asks	parataxis
31	and	and	CCONJ	_	32 expensive	cc
32	expensive	expensive	ADJ	Degree=Pos	30 clumsy	conj
33	:	:	PUNCT	_	35 robot	punct
34	a	a	DET	Definite=Ind PronType=Art	35 robot	det
35	robot	robot	NOUN	Number=Sing	2 asks	conj
36	that	that	PRON	PronType=Rel	38 fold	nsubj
37	can	can	AUX	VerbForm=Fin	38 fold	aux
38	fold	fold	VERB	VerbForm=Inf	35 robot	acl:relcl
39	a	a	DET	Definite=Ind PronType=Art	41 shirt	det
40	crumpled	crumple	VERB	Tense=Past VerbForm=Part Voice=Pass	41 shirt	amod
41	shirt	shirt	NOUN	Number=Sing	38 fold	obj
42	as	as	ADV	ExtPos=ADV	38 fold	advmod
43	well	well	ADV	Degree=Pos	42 as	fixed
44	as	as	SCONJ	_	48 harder	mark
45	Dad	dad	NOUN	Number=Sing	41 shirt	conj
46	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	48 harder	cop
47	much	much	ADV	_	48 harder	advmod
48	harder	hard	ADJ	Degree=Cmp	38 fold	parataxis
49	to	to	PART	_	50 build	mark
50	build	build	VERB	VerbForm=Inf	48 harder	xcomp
51	than	than	ADP	_	52 one	case
52	one	one	NUM	NumForm=Word NumType=Card	50 build	obj
53	that	that	PRON	PronType=Rel	54 wins	nsubj
54	wins	win	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	52 one	acl:relcl
55	at	at	ADP	_	56 chess	case
56	chess	chess	NOUN	Number=Sing	54 wins	obl
57	,	,	PUNCT	_	62 messy	punct
58	because	because	SCONJ	_	62 messy	mark
59	real	real	ADJ	Degree=Pos	60 homes	amod
60	homes	home	NOUN	Number=Plur	62 messy	nsubj
61	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	62 messy	cop
62	messy	messy	ADJ	Degree=Pos	50 build	advcl
63	and	and	CCONJ	_	67 different	cc
64	every	every	DET	PronType=Tot	65 object	det
65	object	object	NOUN	Number=Sing	67 different	nsubj
66	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	67 different	cop
67	different	different	ADJ	Degree=Pos	62 messy	conj
68	.	.	PUNCT	_	2 asks	punct

Pragmatics

No stored speech act for this sentence.

#	verb	tense, mood	who	what, whom	where	when	other	roles by
1	ask speech: ask	present	Mia					vn inquire-37.1.2 «NP V how S»: agent=Agent clause=Topic
2	do	future	robots	all housework				vn act-114-1 «NP V NP»: agent=Agent housework=Eventuality
3	say speech: assert	present	Dad					vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
4	hope in a quote	present	Dad					vn long-32.2 «NP V S_INF»: agent=Pivot clause=Theme
5	iron not said to happen, in a quote	gerund	Dad not said here				especially property	vn wipe_instr-10.4.2 «NP.agent V»: agent=Agent
6	is	present	Real home robots			still; today	clumsy property	tree rules
7	be		Real home robots not said here					tree rules
8	fold	can	a robot	a crumpled shirt and Dad				vn bend-45.2 «NP V NP.patient»: agent=Agent shirt=Patient
9	crumple	participle						vn bend-45.2 «NP.patient V»: agent=Patient
10	is	present					hard property	tree rules
11	build	to-infinitive		one				vn build-26.1-1 «NP.asset V NP»: agent=Asset one=Product
12	win	present			chess			vn succeed-74-2 «NP V PP.eventuality S_ING»: agent=Agent at chess=Eventuality
13	is	present	real homes				messy property	tree rules
14	is	present	every object				different property	tree rules

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:ai:024-future-hopes.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 ×2, 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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/ai/24-future-hopes/1/