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slangy

Who acts: slangy texts, word, your, book, slangy dialogue, slangy speech · What happens: use, sound, be, report, have, make · To what, where: lot, slangy dialogue, slangy words, formal English, slangy way, you · Speech: someone speaks here

«slangy» in the school dictionary: its 2 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: slangy in the school dictionary.

Meaning 1

Using a lot of slang: very informal, everyday words and phrases, like «gonna», «cool» or «mate».

The tree, 16 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Using	use	VERB	VerbForm=Ger	root	root
2	a	a	DET	Definite=Ind PronType=Art	3 lot	det
3	lot	lot	NOUN	Number=Sing	1 Using	obj
4	of	of	ADP	_	5 slang	case
5	slang	slang	NOUN	Number=Sing	3 lot	nmod
6	:	:	PUNCT	_	1 Using	punct
7	very	very	ADV	_	8 informal	advmod
8	informal	informal	ADJ	Degree=Pos	11 words	amod
9	,	,	PUNCT	_	8 informal	punct
10	everyday	everyday	ADJ	Degree=Pos	11 words	amod
11	words	word	NOUN	Number=Plur	1 Using	obj
12	and	and	CCONJ	_	13 phrases	cc
13	phrases	phrase	NOUN	Number=Plur	11 words	conj
14	,	,	PUNCT	_	17 gonna	punct
15	like	like	ADP	_	17 gonna	case
16	«	«	PUNCT	_	17 gonna	punct
17	gonna	gonna	X	Foreign=Yes	11 words	conj
18	»	»	PUNCT	_	17 gonna	punct
19	,	,	PUNCT	_	21 cool	punct
20	«	«	PUNCT	_	21 cool	punct
21	cool	cool	ADJ	Degree=Pos	17 gonna	parataxis
22	»	»	PUNCT	_	21 cool	punct
23	or	or	CCONJ	_	25 mate	cc
24	«	«	PUNCT	_	25 mate	punct
25	mate	mate	NOUN	Number=Sing	21 cool	conj
26	»	»	PUNCT	_	25 mate	punct
27	.	.	PUNCT	_	1 Using	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	use	gerund		a lot of slang					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.

Meaning 2

Sounding like slang, not like proper or formal writing.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Sounding	sound	VERB	Tense=Pres VerbForm=Part	root	root
2	like	like	ADP	_	3 slang	case
3	slang	slang	NOUN	Number=Sing	1 Sounding	obl
4	,	,	PUNCT	_	10 writing	punct
5	not	not	PART	Polarity=Neg	10 writing	advmod
6	like	like	ADP	_	10 writing	case
7	proper	proper	ADJ	Degree=Pos	10 writing	amod
8	or	or	CCONJ	_	9 formal	cc
9	formal	formal	ADJ	Degree=Pos	7 proper	conj
10	writing	writing	NOUN	Number=Sing	1 Sounding	obl
11	.	.	PUNCT	_	1 Sounding	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	sound	gerund						like slang; like proper writing	vn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus

Example 1

His slangy texts are full of «gonna» and «wanna».

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	His	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	3 texts	nmod:poss
2	slangy	slangy	ADJ	Degree=Pos	3 texts	amod
3	texts	text	NOUN	Number=Plur	5 full	nsubj
4	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	5 full	cop
5	full	full	ADJ	Degree=Pos	root	root
6	of	of	ADP	_	8 gonna	case
7	«	«	PUNCT	_	8 gonna	punct
8	gonna	gonna	X	Foreign=Yes	5 full	dep
9	»	»	PUNCT	_	8 gonna	punct
10	and	and	CCONJ	_	12 wanna	cc
11	«	«	PUNCT	_	12 wanna	punct
12	wanna	wanna	X	Foreign=Yes	8 gonna	conj
13	»	»	PUNCT	_	12 wanna	punct
14	.	.	PUNCT	_	5 full	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	His slangy texts					full property	tree rules

Example 2

That word is too slangy for your report.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	That	that	DET	Number=Sing PronType=Dem	2 word	det
2	word	word	NOUN	Number=Sing	5 slangy	nsubj
3	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	5 slangy	cop
4	too	too	ADV	_	5 slangy	advmod
5	slangy	slangy	ADJ	Degree=Pos	root	root
6	for	for	ADP	_	8 report	case
7	your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	8 report	nmod:poss
8	report	report	NOUN	Number=Sing	5 slangy	obl
9	.	.	PUNCT	_	5 slangy	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	that word					for your report; slangy property	tree rules
2	report		your						nom report «communication transitive»: poss=agent

Example 3

The book has slangy dialogue that sounds real.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 book	det
2	book	book	NOUN	Number=Sing	3 has	nsubj
3	has	have	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	slangy	slangy	ADJ	Degree=Pos	5 dialogue	amod
5	dialogue	dialogue	NOUN	Number=Sing	3 has	obj
6	that	that	PRON	PronType=Rel	7 sounds	nsubj
7	sounds	sound	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	5 dialogue	acl:relcl
8	real	real	ADJ	Degree=Pos	7 sounds	xcomp
9	.	.	PUNCT	_	3 has	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	have	present	the book	slangy dialogue					vn birth-28.2-1 «NP V NP»: agent=Agent dialogue=Patient
2	sound	present	slangy dialogue					real property	vn stimulus_subject-30.4 «NP V ADJ»: agent=Stimulus

Example 4

Her slangy speech made her friends laugh.

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 speech	nmod:poss
2	slangy	slangy	ADJ	Degree=Pos	3 speech	amod
3	speech	speech	NOUN	Number=Sing	4 made	nsubj
4	made	make	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
5	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	6 friends	nmod:poss
6	friends	friend	NOUN	Number=Plur	7 laugh	nsubj
7	laugh	laugh	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 made	ccomp
8	.	.	PUNCT	_	4 made	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	past	Her slangy speech						tree rules
2	laugh	present	speech's friends						vn nonverbal_expression-40.2 «NP V»: agent=Agent
3	speak		Her = she						nom speech «communication transitive»: poss=agent

Example 5

Change the slangy words into formal English.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Change	change	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	4 words	det
3	slangy	slangy	ADJ	Degree=Pos	4 words	amod
4	words	word	NOUN	Number=Plur	1 Change	obj
5	into	into	ADP	_	7 English	case
6	formal	formal	ADJ	Degree=Pos	7 English	amod
7	English	English	PROPN	Number=Sing	1 Change	obl
8	.	.	PUNCT	_	1 Change	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	change	imperative	you not said here	the slangy words				into formal English result	vn turn-26.6.1-1 «NP V NP.patient PP.result»: agent=Agent word=Patient into english=Result

Example 6

"Cheers, mate" is a slangy way of saying thank you.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	2 Cheers	punct
2	Cheers	cheer	NOUN	Number=Plur	9 way	nsubj
3	,	,	PUNCT	_	4 mate	punct
4	mate	mate	NOUN	Number=Sing	2 Cheers	appos
5	"	"	PUNCT	_	2 Cheers	punct
6	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	9 way	cop
7	a	a	DET	Definite=Ind PronType=Art	9 way	det
8	slangy	slangy	ADJ	Degree=Pos	9 way	amod
9	way	way	NOUN	Number=Sing	root	root
10	of	of	SCONJ	_	11 saying	mark
11	saying	say	VERB	VerbForm=Ger	9 way	acl
12	thank	thank	VERB	Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin	11 saying	ccomp
13	you	you	PRON	Case=Acc Person=2 PronType=Prs	12 thank	obj
14	.	.	PUNCT	_	9 way	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	present	Cheers	a slangy way					tree rules
2	say speech: assert	gerund	a slangy way not said here						vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
3	thank speech: thank	present			you				vn judgment-33.1-1 «NP V NP»: agent=Agent you=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/S/slangy/