aggregate

Who acts: you, City, aggregate cost, aggregate mark, Her, builders · What happens: make, add, make up, collect, mix, find · To what, where: total, several amounts, many parts, things, small stones, aggregate

«aggregate» in the school dictionary: its 5 meanings for a pupil and its 6 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: aggregate in the school dictionary.

Meaning 1

Usage: formal — kept apart, not parsed.

A total made by adding several amounts together.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 total	det
2	total	total	NOUN	Number=Sing	root	root
3	made	make	VERB	Tense=Past VerbForm=Part Voice=Pass	2 total	acl
4	by	by	SCONJ	_	5 adding	mark
5	adding	add	VERB	Tense=Pres VerbForm=Part	3 made	advcl
6	several	several	ADJ	Degree=Pos	7 amounts	amod
7	amounts	amount	NOUN	Number=Plur	5 adding	obj
8	together	together	ADV	_	5 adding	advmod
9	.	.	PUNCT	_	2 total	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	participle		a total not said here					vn build-26.1-1 «NP.asset V NP»: agent=Asset
2	add speech: assert	gerund		several amounts				together property	vn mix-22.1-2 «NP V NP»: agent=Agent amount=Patient

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.

Meaning 2

Usage: sport, UK and elsewhere — kept apart, not parsed.

The total score over two or more games.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	3 score	det
2	total	total	ADJ	Degree=Pos	3 score	amod
3	score	score	NOUN	Number=Sing	root	root
4	over	over	ADP	_	5 two	case
5	two	two	NUM	NumForm=Word NumType=Card	3 score	nmod
6	or	or	CCONJ	_	8 games	cc
7	more	more	ADJ	Degree=Cmp	8 games	amod
8	games	game	NOUN	Number=Plur	3 score	conj
9	.	.	PUNCT	_	3 score	punct

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

The example in this meaning, parsed on its own:

"on aggregate".

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	3 aggregate	punct
2	on	on	ADP	_	3 aggregate	case
3	aggregate	aggregate	NOUN	Number=Sing	root	root
4	"	"	PUNCT	_	3 aggregate	punct
5	.	.	PUNCT	_	3 aggregate	punct

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

Meaning 3

Usage: adjective, formal — kept apart, not parsed.

Made up of many parts added together.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Made	make	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
2	up	up	ADP	_	1 Made	compound:prt
3	of	of	ADP	_	5 parts	case
4	many	many	ADJ	Degree=Pos	5 parts	amod
5	parts	part	NOUN	Number=Plur	1 Made	obl
6	added	add	VERB	Tense=Past VerbForm=Part Voice=Pass	5 parts	acl
7	together	together	ADV	_	6 added	advmod
8	.	.	PUNCT	_	1 Made	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make up	participle						of many parts	vn comprise-107.2-1 «NP V NP»: agent=Theme
2	add speech: assert	participle		many parts not said here				together property	vn mix-22.1-2 «NP V ADVP-Middle»: agent=Patient

Meaning 4

Usage: verb, formal — kept apart, not parsed.

To collect or add things together into one total.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 collect	mark
2	collect	collect	VERB	VerbForm=Inf	4 add	advcl
3	or	or	CCONJ	_	4 add	cc
4	add	add	VERB	Mood=Imp VerbForm=Fin	root	root
5	things	thing	NOUN	Number=Plur	4 add	obj
6	together	together	ADV	_	4 add	advmod
7	into	into	ADP	_	9 total	case
8	one	one	NUM	NumForm=Word NumType=Card	9 total	nummod
9	total	total	NOUN	Number=Sing	4 add	obl
10	.	.	PUNCT	_	4 add	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	collect	to-infinitive	you not said here						vn other_cos-45.4 «NP.patient V»: agent=Patient
2	add speech: assert	imperative	you not said here	things				into one total; together property	vn mix-22.1-2 «NP V NP PP.co-patient»: agent=Agent thing=Patient into total=Co-Patient

Meaning 5

Usage: science, building — kept apart, not parsed.

Sand, gravel and small stones mixed into concrete.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Sand	sand	NOUN	Number=Sing	root	root
2	,	,	PUNCT	_	3 gravel	punct
3	gravel	gravel	NOUN	Number=Sing	1 Sand	conj
4	and	and	CCONJ	_	6 stones	cc
5	small	small	ADJ	Degree=Pos	6 stones	amod
6	stones	stone	NOUN	Number=Plur	1 Sand	conj
7	mixed	mix	VERB	Tense=Past VerbForm=Part Voice=Pass	6 stones	acl
8	into	into	ADP	_	9 concrete	case
9	concrete	concrete	NOUN	Number=Sing	7 mixed	obl
10	.	.	PUNCT	_	1 Sand	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	mix	participle		small stones not said here				into concrete	vn mix-22.1-1-1 «NP V PP.co-patient»: agent=Patient into concrete=Co-Patient

Example 1

Find the aggregate of 12, 15 and 23.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Find	find	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	3 aggregate	det
3	aggregate	aggregate	NOUN	Number=Sing	1 Find	obj
4	of	of	ADP	_	5 12	case
5	12	12	NUM	NumForm=Digit NumType=Card	3 aggregate	nmod
6	,	,	PUNCT	_	7 15	punct
7	15	15	NUM	NumForm=Digit NumType=Card	5 12	flat
8	and	and	CCONJ	_	9 23	cc
9	23	23	NUM	NumForm=Digit NumType=Card	5 12	conj
10	.	.	PUNCT	_	1 Find	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	find	imperative	you not said here	the aggregate of 12					vn discover-84 «NP V NP»: agent=Agent aggregate=Topic

Example 2

City won 4–3 on aggregate after the two matches.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	City	city	NOUN	Number=Sing	2 won	nsubj
2	won	win	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	4	4	NUM	NumForm=Digit NumType=Card	2 won	obj
4	–	–	SYM	ExtPos=ADP	5 3	case
5	3	3	NUM	NumForm=Digit NumType=Card	3 4	nmod
6	on	on	ADP	_	7 aggregate	case
7	aggregate	aggregate	NOUN	Number=Sing	2 won	obl
8	after	after	ADP	_	11 matches	case
9	the	the	DET	Definite=Def PronType=Art	11 matches	det
10	two	two	NUM	NumForm=Word NumType=Card	11 matches	nummod
11	matches	match	NOUN	Number=Plur	2 won	obl
12	.	.	PUNCT	_	2 won	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	win	past	City	4		aggregate	after the two matches	– 3	vn succeed-74-2 «NP V NP»: agent=Agent 4=Eventuality

Example 3

The aggregate cost of the trip was 300 dollars.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	3 cost	det
2	aggregate	aggregate	NOUN	Number=Sing	3 cost	compound
3	cost	cost	NOUN	Number=Sing	9 dollars	nsubj
4	of	of	ADP	_	6 trip	case
5	the	the	DET	Definite=Def PronType=Art	6 trip	det
6	trip	trip	NOUN	Number=Sing	3 cost	nmod
7	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	9 dollars	cop
8	300	300	NUM	NumForm=Digit NumType=Card	9 dollars	nummod
9	dollars	dollar	NOUN	Number=Plur	root	root
10	.	.	PUNCT	_	9 dollars	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past	the aggregate cost of the trip	300 dollars					tree rules
2	cost			the trip					nom cost «possession transitive»: of=patient

Example 4

Her aggregate mark across all tests was the highest in the class.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	3 mark	nmod:poss
2	aggregate	aggregate	NOUN	Number=Sing	3 mark	compound
3	mark	mark	NOUN	Number=Sing	9 highest	nsubj
4	across	across	ADP	_	6 tests	case
5	all	all	DET	PronType=Tot	6 tests	det
6	tests	test	NOUN	Number=Plur	3 mark	nmod
7	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	9 highest	cop
8	the	the	DET	Definite=Def PronType=Art	9 highest	det
9	highest	high	ADJ	Degree=Sup	root	root
10	in	in	ADP	_	12 class	case
11	the	the	DET	Definite=Def PronType=Art	12 class	det
12	class	class	NOUN	Number=Sing	9 highest	obl
13	.	.	PUNCT	_	9 highest	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	Her aggregate mark across all tests			the class		high property	tree rules
2	mark		Her = she			all tests			nom mark «cognition transitive»: poss=agent across=place

Example 5

The builders mixed cement with aggregate.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 builders	det
2	builders	builder	NOUN	Number=Plur	root	root
3	mixed	mix	VERB	Tense=Past VerbForm=Part Voice=Pass	2 builders	acl
4	cement	cement	NOUN	Number=Sing	3 mixed	obl
5	with	with	ADP	_	6 aggregate	case
6	aggregate	aggregate	NOUN	Number=Sing	4 cement	nmod
7	.	.	PUNCT	_	2 builders	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	mix	participle	the builders not said here	cement with aggregate					vn mix-22.1-1-1 «NP V»: agent=Patient

Example 6

The data from all the schools was aggregated into one table.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 data	det
2	data	data	NOUN	Number=Sing	8 aggregated	nsubj:pass
3	from	from	ADP	_	6 schools	case
4	all	all	DET	PronType=Tot	6 schools	det:predet
5	the	the	DET	Definite=Def PronType=Art	6 schools	det
6	schools	school	NOUN	Number=Plur	2 data	nmod
7	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	8 aggregated	aux:pass
8	aggregated	aggregate	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
9	into	into	ADP	_	11 table	case
10	one	one	NUM	NumForm=Word NumType=Card	11 table	nummod
11	table	table	NOUN	Number=Sing	8 aggregated	obl
12	.	.	PUNCT	_	8 aggregated	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	aggregate	past · passive		the data from all schools		one table			vn herd-47.5.2 «NP V NP.theme»: subject=Theme

Text: the school dictionary of Mova's schools (world/data/dictionary-schools/), written for Mova. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each meaning and example read on its own. Elamur Cosmic License.

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