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likely

Who acts: It, Rolling, He, That, She, Accidents · What happens: go, happen, be, seem, roll, find · To what, where: rain, number, die, likely place, frogs, race

«likely» in the school dictionary: its 3 meanings for a pupil and its 9 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: likely in the school dictionary.

Meaning 1

Probably going to happen or be true.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Probably	probably	ADV	_	2 going	advmod
2	going	go	VERB	Tense=Pres VerbForm=Part	root	root
3	to	to	PART	_	4 happen	mark
4	happen	happen	VERB	VerbForm=Inf	2 going	xcomp
5	or	or	CCONJ	_	7 true	cc
6	be	be	AUX	VerbForm=Inf	7 true	cop
7	true	true	ADJ	Degree=Pos	4 happen	conj
8	.	.	PUNCT	_	2 going	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	go	gerund						probably property	vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic
2	happen	to-infinitive							vn occur-48.3-1 «NP V»: agent=Theme
3	is	infinitive						true property	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.

The example in this meaning, parsed on its own:

"It's likely to rain."

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	4 likely	punct
2	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	4 likely	nsubj
3	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 likely	cop
4	likely	likely	ADJ	Degree=Pos	root	root
5	to	to	PART	_	6 rain	mark
6	rain	rain	NOUN	Number=Sing	4 likely	xcomp
7	.	.	PUNCT	_	4 likely	punct
8	"	"	PUNCT	_	4 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is in a quote	present	It	rain				likely property	tree rules

Meaning 2

Suitable or seeming right.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Suitable	suitable	ADJ	Degree=Pos	root	root
2	or	or	CCONJ	_	3 seeming	cc
3	seeming	seem	VERB	Tense=Pres VerbForm=Part	1 Suitable	conj
4	right	right	ADV	_	3 seeming	advmod
5	.	.	PUNCT	_	1 Suitable	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	seem	gerund						right property	vn seem-109-1-1-1 «NP V S_INF»: agent=Theme

The example in this meaning, parsed on its own:

"a likely place".

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	4 place	punct
2	a	a	DET	Definite=Ind PronType=Art	4 place	det
3	likely	likely	ADJ	Degree=Pos	4 place	amod
4	place	place	NOUN	Number=Sing	root	root
5	"	"	PUNCT	_	4 place	punct
6	.	.	PUNCT	_	4 place	punct

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

Meaning 3

As an adverb, probably.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	As	as	ADP	_	3 adverb	case
2	an	a	DET	Definite=Ind PronType=Art	3 adverb	det
3	adverb	adverb	NOUN	Number=Sing	root	root
4	,	,	PUNCT	_	3 adverb	punct
5	probably	probably	ADV	_	3 adverb	advmod
6	.	.	PUNCT	_	3 adverb	punct

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

The example in this meaning, parsed on its own:

"She will most likely win."

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	6 win	punct
2	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	6 win	nsubj
3	will	will	AUX	VerbForm=Fin	6 win	aux
4	most	most	ADV	Degree=Sup	5 likely	advmod
5	likely	likely	ADJ	Degree=Pos	6 win	amod
6	win	win	NOUN	Number=Sing	root	root
7	.	.	PUNCT	_	6 win	punct
8	"	"	PUNCT	_	6 win	punct

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

Example 1

It is likely to snow tomorrow.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	3 likely	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 likely	cop
3	likely	likely	ADJ	Degree=Pos	root	root
4	to	to	PART	_	5 snow	mark
5	snow	snow	NOUN	Number=Sing	3 likely	nsubj
6	tomorrow	tomorrow	NOUN	Number=Sing	5 snow	nmod:unmarked
7	.	.	PUNCT	_	3 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	It					likely property	tree rules

Example 2

Rolling a number less than 6 on a die is likely.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Rolling	roll	VERB	VerbForm=Ger	11 likely	csubj
2	a	a	DET	Definite=Ind PronType=Art	3 number	det
3	number	number	NOUN	Number=Sing	1 Rolling	obj
4	less	less	ADJ	Degree=Cmp ExtPos=ADV	6 6	advmod
5	than	than	ADP	_	4 less	fixed
6	6	6	NUM	NumForm=Digit NumType=Card	3 number	nmod
7	on	on	ADP	_	9 die	case
8	a	a	DET	Definite=Ind PronType=Art	9 die	det
9	die	die	NOUN	Number=Sing	1 Rolling	obl
10	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	11 likely	cop
11	likely	likely	ADJ	Degree=Pos	root	root
12	.	.	PUNCT	_	11 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	roll	gerund		a number 6		a die			vn run-51.3.2-2 «NP V NP PP.trajectory»: agent=Agent number=Theme on die=Trajectory
2	is	present	Rolling					likely property	tree rules

Example 3

He is likely to be late.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	He	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	3 likely	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 likely	cop
3	likely	likely	ADJ	Degree=Pos	root	root
4	to	to	PART	_	6 late	mark
5	be	be	AUX	VerbForm=Inf	6 late	cop
6	late	late	ADJ	Degree=Pos	3 likely	xcomp
7	.	.	PUNCT	_	3 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	He					likely property	tree rules
2	is	to-infinitive	He not said here					late property	tree rules

Example 4

That's a likely place to find frogs.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	That	that	PRON	Number=Sing PronType=Dem	5 place	nsubj
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	5 place	cop
3	a	a	DET	Definite=Ind PronType=Art	5 place	det
4	likely	likely	ADJ	Degree=Pos	5 place	amod
5	place	place	NOUN	Number=Sing	root	root
6	to	to	PART	_	7 find	mark
7	find	find	VERB	VerbForm=Inf	5 place	acl
8	frogs	frog	NOUN	Number=Plur	7 find	obj
9	.	.	PUNCT	_	5 place	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	present	That	a likely place					tree rules
2	find	to-infinitive		frogs					vn discover-84 «NP V NP»: agent=Agent frog=Topic

Example 5

She will most likely win the race.

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	5 win	nsubj
2	will	will	AUX	VerbForm=Fin	5 win	aux
3	most	most	ADV	Degree=Sup	4 likely	advmod
4	likely	likely	ADV	_	5 win	advmod
5	win	win	VERB	VerbForm=Inf	root	root
6	the	the	DET	Definite=Def PronType=Art	7 race	det
7	race	race	NOUN	Number=Sing	5 win	obj
8	.	.	PUNCT	_	5 win	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	win	future	She	the race				likely property	vn succeed-74-2 «NP V NP»: agent=Agent race=Eventuality

Example 6

Accidents are more likely when you rush.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Accidents	accident	NOUN	Number=Plur	4 likely	nsubj
2	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 likely	cop
3	more	more	ADV	Degree=Cmp	4 likely	advmod
4	likely	likely	ADJ	Degree=Pos	root	root
5	when	when	ADV	PronType=Int	7 rush	advmod
6	you	you	PRON	Case=Nom Person=2 PronType=Prs	7 rush	nsubj
7	rush	rush	VERB	Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin	4 likely	advcl
8	.	.	PUNCT	_	4 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	Accidents					likely property	tree rules
2	rush	present	you						vn run-51.3.2-2-1 «NP V»: agent=Theme

Example 7

"Will you lend me your bike?" "Not likely!"

Sentence 1: "Will you lend me your bike?" "

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	4 lend	punct
2	Will	will	AUX	VerbForm=Fin	4 lend	aux
3	you	you	PRON	Case=Nom Person=2 PronType=Prs	4 lend	nsubj
4	lend	lend	VERB	VerbForm=Inf	root	root
5	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	4 lend	iobj
6	your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	7 bike	nmod:poss
7	bike	bike	NOUN	Number=Sing	4 lend	obj
8	?	?	PUNCT	_	4 lend	punct
9	"	"	PUNCT	_	4 lend	punct
10	"	"	PUNCT	_	4 lend	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	lend in a quote	future	you	your bike	me				vn give-13.1 «NP V NP-Dative NP»: agent=Agent i=Recipient bike=Theme

Sentence 2: Not likely!"

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Not	not	PART	Polarity=Neg	2 likely	advmod
2	likely	likely	ADV	_	root	root
3	!	!	PUNCT	_	2 likely	punct
4	"	"	PUNCT	_	2 likely	punct

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

Example 8

A tossed coin is equally likely to land on heads or tails.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 coin	det
2	tossed	toss	VERB	Tense=Past VerbForm=Part Voice=Pass	3 coin	amod
3	coin	coin	NOUN	Number=Sing	6 likely	nsubj
4	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 likely	cop
5	equally	equally	ADV	_	6 likely	advmod
6	likely	likely	ADJ	Degree=Pos	root	root
7	to	to	PART	_	8 land	mark
8	land	land	VERB	VerbForm=Inf	6 likely	xcomp
9	on	on	ADP	_	10 heads	case
10	heads	head	NOUN	Number=Plur	8 land	obl
11	or	or	CCONJ	_	12 tails	cc
12	tails	tail	NOUN	Number=Plur	10 heads	conj
13	.	.	PUNCT	_	6 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	toss	participle							vn crane-40.3.2 «NP V NP»: agent=Agent
2	is	present	a tossed coin					equally, likely property	tree rules
3	land	to-infinitive	a tossed coin not said here			heads or tails			vn pocket-9.10-1 «NP V PP.destination»: agent=Theme on head=Destination

Example 9

"How am I likely to be cheerful?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	5 likely	punct
2	How	how	ADV	PronType=Int	5 likely	advmod
3	am	be	AUX	Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin	5 likely	cop
4	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	5 likely	nsubj
5	likely	likely	ADJ	Degree=Pos	root	root
6	to	to	PART	_	8 cheerful	mark
7	be	be	AUX	VerbForm=Inf	8 cheerful	cop
8	cheerful	cheerful	ADJ	Degree=Pos	5 likely	xcomp
9	?	?	PUNCT	_	5 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is in a quote	present	I					likely property	tree rules
2	is in a quote	to-infinitive	I not said here					cheerful property	tree rules

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/L/likely/