streamlining

Who acts: it, company, hundred jobs, Fish, We, Streamlining · What happens: make, cut, shape, move, announce, streamline · To what, where: something, jobs, air, streamlined shape, morning routine, council

«streamlining» in the school dictionary: its 3 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: streamlining in the school dictionary.

Meaning 1

making something simpler and more efficient.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	making	make	VERB	Tense=Pres VerbForm=Part	root	root
2	something	something	PRON	Number=Sing PronType=Ind	1 making	obj
3	simpler	simple	ADJ	Degree=Cmp	2 something	amod
4	and	and	CCONJ	_	6 efficient	cc
5	more	more	ADV	Degree=Cmp	6 efficient	advmod
6	efficient	efficient	ADJ	Degree=Pos	3 simpler	conj
7	.	.	PUNCT	_	1 making	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	gerund		something					vn build-26.1-1 «NP.asset V NP»: agent=Asset something=Product

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: euphemism, business — kept apart, not parsed.

cutting jobs or services.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	cutting	cut	VERB	Tense=Pres VerbForm=Part	root	root
2	jobs	job	NOUN	Number=Plur	1 cutting	obj
3	or	or	CCONJ	_	4 services	cc
4	services	service	NOUN	Number=Plur	2 jobs	conj
5	.	.	PUNCT	_	1 cutting	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cut	gerund		jobs or services					vn build-26.1-1 «NP.asset V NP»: agent=Asset job=Product

Meaning 3

Usage: science — kept apart, not parsed.

shaping something so it moves easily through air or water.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	shaping	shape	VERB	VerbForm=Ger	5 moves	csubj
2	something	something	PRON	Number=Sing PronType=Ind	1 shaping	obj
3	so	so	ADV	_	5 moves	advmod
4	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	5 moves	nsubj
5	moves	move	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
6	easily	easily	ADV	_	5 moves	advmod
7	through	through	ADP	_	8 air	case
8	air	air	NOUN	Number=Sing	5 moves	obl
9	or	or	CCONJ	_	10 water	cc
10	water	water	NOUN	Number=Sing	8 air	conj
11	.	.	PUNCT	_	5 moves	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	shape	gerund		something					vn build-26.1-1 «NP.asset V NP»: agent=Asset something=Product
2	move	present	it			air or water		easily property	vn roll-51.3.1 «NP V PP.trajectory»: agent=Theme through air=Trajectory

Example 1

The company announced streamlining, and two hundred jobs went.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 company	det
2	company	company	NOUN	Number=Sing	3 announced	nsubj
3	announced	announce	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	streamlining	streamline	VERB	VerbForm=Ger	3 announced	xcomp
5	,	,	PUNCT	_	10 went	punct
6	and	and	CCONJ	_	10 went	cc
7	two	two	NUM	NumForm=Word NumType=Card	8 hundred	compound
8	hundred	hundred	NUM	NumForm=Word NumType=Card	9 jobs	nummod
9	jobs	job	NOUN	Number=Plur	10 went	nsubj
10	went	go	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 announced	conj
11	.	.	PUNCT	_	3 announced	punct

#	verb	tense, mood	who	roles by
1	announce speech: other	past	the company	vn order-58.3 «NP V S»: agent=Agent clause=Topic
2	streamline	gerund	the company not said here	vn remedy-45.7 «NP V NP.patient»: agent=Agent
3	go	past	hundred jobs	vn disappearance-48.2-1 «NP V»: agent=Theme

Example 2

Fish and dolphins have a streamlined shape.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Fish	fish	NOUN	Number=Plur	4 have	nsubj
2	and	and	CCONJ	_	3 dolphins	cc
3	dolphins	dolphin	NOUN	Number=Plur	1 Fish	conj
4	have	have	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
5	a	a	DET	Definite=Ind PronType=Art	7 shape	det
6	streamlined	streamline	VERB	Tense=Past VerbForm=Part Voice=Pass	7 shape	amod
7	shape	shape	NOUN	Number=Sing	4 have	obj
8	.	.	PUNCT	_	4 have	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	have	present	Fish and dolphins	a streamlined shape					vn birth-28.2-1 «NP V NP»: agent=Agent shape=Patient
2	streamline	participle							vn remedy-45.7 «NP V NP.patient»: agent=Agent

Example 3

We streamlined the morning routine so we leave earlier.

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 streamlined	nsubj
2	streamlined	streamline	VERB	Mood=Ind Number=Plur Person=1 Tense=Past VerbForm=Fin	root	root
3	the	the	DET	Definite=Def PronType=Art	5 routine	det
4	morning	morning	NOUN	Number=Sing	5 routine	compound
5	routine	routine	NOUN	Number=Sing	2 streamlined	obj
6	so	so	ADV	_	8 leave	advmod
7	we	we	PRON	Case=Nom Number=Plur Person=1 PronType=Prs	8 leave	nsubj
8	leave	leave	VERB	Mood=Ind Number=Plur Person=1 Tense=Pres VerbForm=Fin	2 streamlined	advcl
9	earlier	early	ADV	Degree=Cmp	8 leave	advmod
10	.	.	PUNCT	_	2 streamlined	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	streamline	past	We	the morning routine					vn remedy-45.7 «NP V NP.patient»: agent=Agent routine=Patient
2	leave	present	we					early property	vn escape-51.1-1-1 «NP V»: agent=Theme

Example 4

The council's streamlining closed two libraries.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 council	det
2	council	council	NOUN	Number=Sing	5 closed	nsubj:pass
3	's	's	PART	_	2 council	case
4	streamlining	streamline	AUX	Tense=Pres VerbForm=Part	5 closed	aux:pass
5	closed	close	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
6	two	two	NUM	NumForm=Word NumType=Card	7 libraries	nummod
7	libraries	library	NOUN	Number=Plur	5 closed	obj
8	.	.	PUNCT	_	5 closed	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	close	gerund · passive		the council					tree rules

Example 5

In science we tested which shape was most streamlined.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	In	in	ADP	_	2 science	case
2	science	science	NOUN	Number=Sing	4 tested	obl
3	we	we	PRON	Case=Nom Number=Plur Person=1 PronType=Prs	4 tested	nsubj
4	tested	test	VERB	Mood=Ind Number=Plur Person=1 Tense=Past VerbForm=Fin	root	root
5	which	which	DET	PronType=Int	6 shape	det
6	shape	shape	NOUN	Number=Sing	9 streamlined	nsubj:pass
7	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	9 streamlined	aux:pass
8	most	most	ADV	Degree=Sup	9 streamlined	advmod
9	streamlined	streamline	VERB	Tense=Past VerbForm=Part Voice=Pass	4 tested	ccomp
10	.	.	PUNCT	_	4 tested	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	test	past	we			science			tree rules
2	streamline	past · passive		which shape					vn remedy-45.7 «NP V NP.patient»: subject=Patient

Example 6

Streamlining the form made it much quicker to fill in.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Streamlining	streamline	VERB	VerbForm=Ger	4 made	csubj
2	the	the	DET	Definite=Def PronType=Art	3 form	det
3	form	form	NOUN	Number=Sing	1 Streamlining	obj
4	made	make	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
5	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	4 made	obj
6	much	much	ADV	_	7 quicker	advmod
7	quicker	quick	ADJ	Degree=Cmp	4 made	xcomp
8	to	to	PART	_	9 fill	mark
9	fill	fill	VERB	VerbForm=Inf	4 made	advcl
10	in	in	ADP	_	9 fill	compound:prt
11	.	.	PUNCT	_	4 made	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	streamline	gerund		the form		vn remedy-45.7 «NP V NP.patient»: agent=Agent form=Patient
2	make	past	Streamlining	form	quick property	vn build-26.1-1 «NP.asset V NP»: agent=Asset it=Product
3	fill in	to-infinitive	Streamlining not said here			vn other_cos-45.4 «NP.patient V»: agent=Patient

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.

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