steely

Who acts: She, he, sky, captain, Badger, sea · What happens: make, not show, give, stop, talk, be · To what, where: soft feelings, steely look, him, steely grey, race, steely voice · Speech: someone speaks here

«steely» in the school dictionary: its 2 meanings 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: steely in the school dictionary.

Meaning 1

Made of steel, or grey and shiny like steel.

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	of	of	ADP	_	3 steel	case
3	steel	steel	NOUN	Number=Sing	1 Made	obl
4	,	,	PUNCT	_	6 grey	punct
5	or	or	CCONJ	_	6 grey	cc
6	grey	grey	ADJ	Degree=Pos	1 Made	parataxis
7	and	and	CCONJ	_	8 shiny	cc
8	shiny	shiny	ADJ	Degree=Pos	6 grey	conj
9	like	like	ADP	_	10 steel	case
10	steel	steel	NOUN	Number=Sing	8 shiny	obl
11	.	.	PUNCT	_	1 Made	punct

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

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

Hard, strong and determined; not showing soft feelings: «a steely stare», «steely determination».

The tree, 13 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Hard	hard	ADJ	Degree=Pos	root	root
2	,	,	PUNCT	_	3 strong	punct
3	strong	strong	ADJ	Degree=Pos	1 Hard	conj
4	and	and	CCONJ	_	5 determined	cc
5	determined	determined	ADJ	Degree=Pos	1 Hard	conj
6	;	;	PUNCT	_	8 showing	punct
7	not	not	PART	Polarity=Neg	8 showing	advmod
8	showing	show	VERB	Tense=Pres VerbForm=Part	1 Hard	conj
9	soft	soft	ADJ	Degree=Pos	10 feelings	amod
10	feelings	feeling	NOUN	Number=Plur	8 showing	obj
11	:	:	PUNCT	_	15 stare	punct
12	«	«	PUNCT	_	15 stare	punct
13	a	a	DET	Definite=Ind PronType=Art	15 stare	det
14	steely	steely	ADJ	Degree=Pos	15 stare	amod
15	stare	stare	NOUN	Number=Sing	8 showing	obj
16	»	»	PUNCT	_	15 stare	punct
17	,	,	PUNCT	_	20 determination	punct
18	«	«	PUNCT	_	20 determination	punct
19	steely	steely	ADJ	Degree=Pos	20 determination	amod
20	determination	determination	NOUN	Number=Sing	15 stare	appos
21	»	»	PUNCT	_	20 determination	punct
22	.	.	PUNCT	_	1 Hard	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not show	gerund		soft feelings					vn transfer_mesg-37.1.1-1-1 «NP V NP-Dative NP»: agent=Agent feeling=Recipient stare=Topic

Example 1

She gave him a steely look and he stopped talking.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 gave	nsubj
2	gave	give	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	2 gave	iobj
4	a	a	DET	Definite=Ind PronType=Art	6 look	det
5	steely	steely	ADJ	Degree=Pos	6 look	amod
6	look	look	NOUN	Number=Sing	2 gave	obj
7	and	and	CCONJ	_	9 stopped	cc
8	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	9 stopped	nsubj
9	stopped	stop	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	2 gave	conj
10	talking	talk	VERB	VerbForm=Ger	9 stopped	xcomp
11	.	.	PUNCT	_	2 gave	punct

#	verb	tense, mood	who	what, whom	to whom	roles by
1	give	past	She	a steely look	him = he	vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent he=Recipient look=Theme
2	stop	past	he			vn stop-55.4-1-1 «NP V S_ING»: agent=Affector clause=Eventuality
3	talk	gerund	he not said here			vn talk-37.5 «NP V»: agent=Agent

Example 2

The sky was a steely grey before the storm.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 sky	det
2	sky	sky	NOUN	Number=Sing	6 grey	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	6 grey	cop
4	a	a	DET	Definite=Ind PronType=Art	6 grey	det
5	steely	steely	ADJ	Degree=Pos	6 grey	amod
6	grey	grey	NOUN	Number=Sing	root	root
7	before	before	ADP	_	9 storm	case
8	the	the	DET	Definite=Def PronType=Art	9 storm	det
9	storm	storm	NOUN	Number=Sing	6 grey	nmod
10	.	.	PUNCT	_	6 grey	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past	the sky	a steely grey			before the storm		tree rules

Example 3

With steely determination, she finished the race.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	With	with	ADP	_	3 determination	case
2	steely	steely	ADJ	Degree=Pos	3 determination	amod
3	determination	determination	NOUN	Number=Sing	6 finished	obl
4	,	,	PUNCT	_	3 determination	punct
5	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	6 finished	nsubj
6	finished	finish	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
7	the	the	DET	Definite=Def PronType=Art	8 race	det
8	race	race	NOUN	Number=Sing	6 finished	obj
9	.	.	PUNCT	_	6 finished	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	finish	past	she	the race				with steely determination	vn stop-55.4-1-1 «NP V NP.eventuality PP.subeventuality»: agent=Affector race=Eventuality with determination=Subeventuality

Example 4

The captain spoke in a steely voice.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 captain	det
2	captain	captain	NOUN	Number=Sing	3 spoke	nsubj
3	spoke	speak	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	in	in	ADP	_	7 voice	case
5	a	a	DET	Definite=Ind PronType=Art	7 voice	det
6	steely	steely	ADJ	Degree=Pos	7 voice	amod
7	voice	voice	NOUN	Number=Sing	3 spoke	obl
8	.	.	PUNCT	_	3 spoke	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	speak speech: other	past	the captain			a steely voice			vn talk-37.5 «NP V»: agent=Agent

Example 5

Badger had a steely glint in his eye before the battle.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Badger	Badger	PROPN	Number=Sing	2 had	nsubj
2	had	have	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	a	a	DET	Definite=Ind PronType=Art	5 glint	det
4	steely	steely	ADJ	Degree=Pos	5 glint	amod
5	glint	glint	NOUN	Number=Sing	2 had	obj
6	in	in	ADP	_	8 eye	case
7	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	8 eye	nmod:poss
8	eye	eye	NOUN	Number=Sing	2 had	obl
9	before	before	ADP	_	11 battle	case
10	the	the	DET	Definite=Def PronType=Art	11 battle	det
11	battle	battle	NOUN	Number=Sing	2 had	obl
12	.	.	PUNCT	_	2 had	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	have	past	Badger	a steely glint		Badger's eye	before the battle		vn birth-28.2-1 «NP V NP»: agent=Agent glint=Patient

Example 6

The sea looked steely and cold.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 sea	det
2	sea	sea	NOUN	Number=Sing	3 looked	nsubj
3	looked	look	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	steely	steely	ADJ	Degree=Pos	3 looked	xcomp
5	and	and	CCONJ	_	6 cold	cc
6	cold	cold	ADJ	Degree=Pos	4 steely	conj
7	.	.	PUNCT	_	3 looked	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	look	past	the sea					steely property	vn stimulus_subject-30.4 «NP V ADJ»: agent=Stimulus

Example 7

“Cecco,” he said in his most steely voice, “go back and fetch me out that doodle-doo.”

The tree, 17 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	“	"	PUNCT	_	2 Cecco	punct
2	Cecco	Cecco	PROPN	Number=Sing	6 said	nsubj
3	,	,	PUNCT	_	2 Cecco	punct
4	”	"	PUNCT	_	2 Cecco	punct
5	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	6 said	nsubj
6	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
7	in	in	ADP	_	11 voice	case
8	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	11 voice	nmod:poss
9	most	most	ADJ	Degree=Sup	11 voice	amod
10	steely	steely	ADJ	Degree=Pos	11 voice	amod
11	voice	voice	NOUN	Number=Sing	6 said	obl
12	,	,	PUNCT	_	14 go	punct
13	“	"	PUNCT	_	14 go	punct
14	go	go	VERB	Mood=Imp VerbForm=Fin	6 said	ccomp
15	back	back	ADV	_	14 go	advmod
16	and	and	CCONJ	_	17 fetch	cc
17	fetch	fetch	VERB	Mood=Imp VerbForm=Fin	14 go	conj
18	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	17 fetch	obj
19	out	out	ADP	_	17 fetch	compound:prt
20	that	that	SCONJ	_	23 doo	mark
21	doodle	doodle	NOUN	Number=Sing	23 doo	compound
22	-	-	PUNCT	_	21 doodle	punct
23	doo	doo	NOUN	Number=Sing	17 fetch	advcl
24	.	.	PUNCT	_	14 go	punct
25	”	"	PUNCT	_	14 go	punct

#	verb	tense, mood	who	what, whom	where	roles by
1	say speech: assert	past	Cecco		Cecco's most steely voice	vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
2	go back in a quote	infinitive				vn convert-26.6.2 «NP V S_ING»: agent=Patient
3	fetch out in a quote	infinitive		Cecco		vn get-13.5.1-1 «NP V NP»: agent=Agent i=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.

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