automated

Who acts: car factory, phone call, We, Watering, robot, Automated doors · What happens: do, be, use, water, open, walk up · To what, where: automated message, automated checkout, supermarket, greenhouse, automated tasks, doors

«automated» in the English dictionary: its meaning for a pupil and its 7 examples, every sentence parsed by Mova itself — its syntax tree, a dependency tree in the style of Universal Dependencies, and its pragmatics clause by clause. The word in the dictionary, with its sense in the lessons: automated in the English dictionary.

Everyday, meaning 1

Done by machines or computers instead of people.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Done	do	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
2	by	by	ADP	_	3 machines	case
3	machines	machine	NOUN	Number=Plur	1 Done	obl
4	or	or	CCONJ	_	5 computers	cc
5	computers	computer	NOUN	Number=Plur	3 machines	conj
6	instead	instead	ADV	ExtPos=ADP	8 people	case
7	of	of	ADP	_	6 instead	fixed
8	people	people	NOUN	Number=Plur	1 Done	obl:agent
9	.	.	PUNCT	_	1 Done	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	participle						by machines or computers; people obl:agent	vn act-114-1 «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.

Example 1

The car factory is fully automated.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	3 factory	det
2	car	car	NOUN	Number=Sing	3 factory	compound
3	factory	factory	NOUN	Number=Sing	6 automated	nsubj
4	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 automated	cop
5	fully	fully	ADV	_	6 automated	advmod
6	automated	automated	ADJ	Degree=Pos	root	root
7	.	.	PUNCT	_	6 automated	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	the car factory					automated, fully property	tree rules

Example 2

The phone call was an automated message.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	3 call	det
2	phone	phone	NOUN	Number=Sing	3 call	compound
3	call	call	NOUN	Number=Sing	7 message	nsubj
4	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	7 message	cop
5	an	a	DET	Definite=Ind PronType=Art	7 message	det
6	automated	automated	ADJ	Degree=Pos	7 message	amod
7	message	message	NOUN	Number=Sing	root	root
8	.	.	PUNCT	_	7 message	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past	the phone call	a automated message					tree rules

Example 3

We used the automated checkout at the supermarket.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	We	we	PRON	Case=Nom Number=Plur Person=1 PronType=Prs	2 used	nsubj
2	used	use	VERB	Mood=Ind Number=Plur Person=1 Tense=Past VerbForm=Fin	root	root
3	the	the	DET	Definite=Def PronType=Art	5 checkout	det
4	automated	automated	ADJ	Degree=Pos	5 checkout	amod
5	checkout	checkout	NOUN	Number=Sing	2 used	obj
6	at	at	ADP	_	8 supermarket	case
7	the	the	DET	Definite=Def PronType=Art	8 supermarket	det
8	supermarket	supermarket	NOUN	Number=Sing	2 used	obl
9	.	.	PUNCT	_	2 used	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	use	past	We	the automated checkout		the supermarket			vn eat-39.1 «NP V NP»: agent=Agent checkout=Patient

Example 4

Watering the greenhouse is now automated.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Watering	water	VERB	VerbForm=Ger	6 automated	csubj
2	the	the	DET	Definite=Def PronType=Art	3 greenhouse	det
3	greenhouse	greenhouse	NOUN	Number=Sing	1 Watering	obj
4	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 automated	cop
5	now	now	ADV	PronType=Dem	6 automated	advmod
6	automated	automated	ADJ	Degree=Pos	root	root
7	.	.	PUNCT	_	6 automated	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	water	gerund		the greenhouse					vn butter-9.9 «NP V NP.destination»: agent=Agent greenhouse=Destination
2	is	present	Watering				now	automated property	tree rules

Example 5

The robot does automated tasks all day.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 robot	det
2	robot	robot	NOUN	Number=Sing	3 does	nsubj
3	does	do	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	automated	automated	ADJ	Degree=Pos	5 tasks	amod
5	tasks	task	NOUN	Number=Plur	3 does	obj
6	all	all	DET	PronType=Tot	7 day	det
7	day	day	NOUN	Number=Sing	3 does	obl:unmarked
8	.	.	PUNCT	_	3 does	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	present	the robot	automated tasks			day		vn act-114-1 «NP V NP»: agent=Agent task=Eventuality

Example 6

Automated doors open when you walk up to them.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Automated	automated	ADJ	Degree=Pos	2 doors	amod
2	doors	door	NOUN	Number=Plur	3 open	nsubj
3	open	open	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	when	when	SCONJ	_	6 walk	mark
5	you	you	PRON	Case=Nom Person=2 PronType=Prs	6 walk	nsubj
6	walk	walk	VERB	Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin	3 open	advcl
7	up	up	ADP	_	6 walk	compound:prt
8	to	to	ADP	_	9 them	case
9	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	6 walk	obl
10	.	.	PUNCT	_	3 open	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	open	present	Automated doors						vn spatial_configuration-47.6-1 «NP V»: agent=Theme
2	walk up	present	you		doors = door				vn run-51.3.2-2-1 «NP V PP.result»: agent=Theme to they=Result

Example 7

Nevertheless, this work is expensive, so in order to keep providing this resource, we have taken steps to prevent abuse by commercial parties, including placing technical restrictions on automated querying. (Sefer Yetzirah, Westcott 1893)

Sentence 1: Nevertheless, this work is expensive, so in order to keep providing this resource, we have taken steps to prevent abuse by commercial parties, including placing technical restrictions on automated querying.

The tree, 30 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nevertheless	nevertheless	ADV	_	6 expensive	advmod
2	,	,	PUNCT	_	1 Nevertheless	punct
3	this	this	DET	Number=Sing PronType=Dem	4 work	det
4	work	work	NOUN	Number=Sing	6 expensive	nsubj
5	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 expensive	cop
6	expensive	expensive	ADJ	Degree=Pos	root	root
7	,	,	PUNCT	_	12 keep	punct
8	so	so	ADV	_	12 keep	advmod
9	in	in	SCONJ	ExtPos=SCONJ	12 keep	mark
10	order	order	NOUN	Number=Sing	9 in	fixed
11	to	to	PART	_	12 keep	mark
12	keep	keep	VERB	Mood=Imp VerbForm=Fin	6 expensive	parataxis
13	providing	provide	VERB	VerbForm=Ger	12 keep	xcomp
14	this	this	DET	Number=Sing PronType=Dem	15 resource	det
15	resource	resource	NOUN	Number=Sing	13 providing	obj
16	,	,	PUNCT	_	19 taken	punct
17	we	we	PRON	Case=Nom Number=Plur Person=1 PronType=Prs	19 taken	nsubj
18	have	have	AUX	Mood=Ind Number=Plur Person=1 Tense=Pres VerbForm=Fin	19 taken	aux
19	taken	take	VERB	Tense=Past VerbForm=Part	12 keep	conj
20	steps	step	NOUN	Number=Plur	19 taken	obj
21	to	to	PART	_	22 prevent	mark
22	prevent	prevent	VERB	VerbForm=Inf	19 taken	advcl
23	abuse	abuse	NOUN	Number=Sing	22 prevent	obj
24	by	by	ADP	_	26 parties	case
25	commercial	commercial	ADJ	Degree=Pos	26 parties	amod
26	parties	party	NOUN	Number=Plur	22 prevent	obl
27	,	,	PUNCT	_	29 placing	punct
28	including	including	ADP	_	29 placing	mark
29	placing	place	VERB	Tense=Pres VerbForm=Part	22 prevent	advcl
30	technical	technical	ADJ	Degree=Pos	31 restrictions	amod
31	restrictions	restriction	NOUN	Number=Plur	29 placing	obj
32	on	on	ADP	_	34 querying	case
33	automated	automated	ADJ	Degree=Pos	34 querying	amod
34	querying	querying	NOUN	Number=Sing	29 placing	obl
35	.	.	PUNCT	_	6 expensive	punct

#	verb	tense, mood	who	what, whom	where	other	roles by
1	is	present	this work			expensive, nevertheless property	tree rules
2	keep	to-infinitive					tree rules
3	provide	gerund		this resource			vn ensure-99 «NP V NP»: agent=Precondition resource=Theme
4	take	present · perfect	we	steps			vn bring-11.3 «NP V NP»: agent=Agent step=Theme
5	prevent	to-infinitive	we not said here	abuse		by commercial parties	vn forbid-64.4-1 «NP V NP»: agent=Causer abuse=Theme
6	place	gerund	we not said here	technical restrictions	automated querying		vn put-9.1-2 «NP V PP.destination NP»: agent=Agent restriction=Theme on querying=Destination

Sentence 2: (Sefer Yetzirah, Westcott 1893)

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	(	(	PUNCT	_	2 Sefer	punct
2	Sefer	Sefer	PROPN	Number=Sing	root	root
3	Yetzirah	Yetzirah	PROPN	Number=Sing	2 Sefer	flat
4	,	,	PUNCT	_	5 Westcott	punct
5	Westcott	Westcott	PROPN	Number=Sing	2 Sefer	conj
6	1893	1893	NUM	NumForm=Digit NumType=Card	5 Westcott	flat
7	)	)	PUNCT	_	2 Sefer	punct

The frames reader finds no event or fact in this sentence.

Text: the English dictionary of Mova's schools (world/data/dictionary-schools/), written for Mova. Trees: Mova's own parse; they may be wrong. Frames: Mova's frames reader, each meaning and example read on its own. Elamur Cosmic License.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/dictionaries/english/A/automated/

📖 automated

Everyday, meaning 1

Example 1

Example 2

Example 3

Example 4

Example 5

Example 6

Example 7

automated