likely

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

«likely» in the English dictionary: its 3 meanings for a pupil and its 11 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 English dictionary.

Everyday, 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	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

Everyday, 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.

Everyday, 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					snow tomorrow nsubj; 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	where	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

Example 10

The entire Greek account of Pythagoras and his philosophy is unreliable and most likely is a forgery. (Mordell, The Origin of Letters and Numerals according to Sefer Yetzirah (1914))

Sentence 1: The entire Greek account of Pythagoras and his philosophy is unreliable and most likely is a forgery.

The tree, 17 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	4 account	det
2	entire	entire	ADJ	Degree=Pos	4 account	amod
3	Greek	Greek	ADJ	Degree=Pos	4 account	amod
4	account	account	NOUN	Number=Sing	17 forgery	nsubj
5	of	of	ADP	_	6 Pythagoras	case
6	Pythagoras	Pythagoras	PROPN	Number=Sing	4 account	nmod
7	and	and	CCONJ	_	11 unreliable	cc
8	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	9 philosophy	nmod:poss
9	philosophy	philosophy	NOUN	Number=Sing	11 unreliable	nsubj
10	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	11 unreliable	cop
11	unreliable	unreliable	ADJ	Degree=Pos	6 Pythagoras	conj
12	and	and	CCONJ	_	14 likely	cc
13	most	most	ADV	Degree=Sup	14 likely	advmod
14	likely	likely	ADV	_	11 unreliable	conj
15	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	17 forgery	cop
16	a	a	DET	Definite=Ind PronType=Art	17 forgery	det
17	forgery	forgery	NOUN	Number=Sing	root	root
18	.	.	PUNCT	_	17 forgery	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	is	present	Pythagoras's philosophy		unreliable property	tree rules
2	is a	present	the entire Greek account of Pythagoras	a forgery		tree rules
3	account			Pythagoras		nom account «communication transitive»: of=patient

Sentence 2: (Mordell, The Origin of Letters and Numerals according to Sefer Yetzirah (1914))

The tree, 12 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	(	(	PUNCT	_	2 Mordell	punct
2	Mordell	Mordell	PROPN	Number=Sing	root	root
3	,	,	PUNCT	_	5 Origin	punct
4	The	the	DET	Definite=Def PronType=Art	5 Origin	det
5	Origin	Origin	PROPN	Number=Sing	2 Mordell	appos
6	of	of	ADP	_	7 Letters	case
7	Letters	letter	NOUN	Number=Plur	5 Origin	nmod
8	and	and	CCONJ	_	9 Numerals	cc
9	Numerals	numeral	NOUN	Number=Plur	7 Letters	conj
10	according	accord	VERB	ExtPos=ADP Tense=Pres VerbForm=Part	12 Sefer	case
11	to	to	ADP	_	10 according	fixed
12	Sefer	Sefer	PROPN	Number=Sing	2 Mordell	nmod
13	Yetzirah	Yetzirah	PROPN	Number=Sing	12 Sefer	flat
14	(	(	PUNCT	_	15 1914	punct
15	1914	1914	NUM	NumForm=Digit NumType=Card	2 Mordell	list
16	))	))	PUNCT	_	2 Mordell	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	accord	gerund							vn future_having-13.3 «NP V NP.theme (PP)»: agent=Agent

Example 11

Even if such an early date cannot be established, it appears likely that scholars will hereafter attribute the discovery of positional arithmetic to the Babylonians instead of the Hindoos." (Mordell, The Origin of Letters and Numerals according to Sefer Yetzirah (1914))

Sentence 1: Even if such an early date cannot be established, it appears likely that scholars will hereafter attribute the discovery of positional arithmetic to the Babylonians instead of the Hindoos."

The tree, 30 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Even	even	ADV	_	13 appears	advmod
2	if	if	SCONJ	_	10 established	mark
3	such	such	DET	PronType=Ind	6 date	det:predet
4	an	a	DET	Definite=Ind PronType=Art	6 date	det
5	early	early	ADJ	Degree=Pos	6 date	amod
6	date	date	NOUN	Number=Sing	10 established	obl
7	can	can	AUX	VerbForm=Fin	10 established	aux
8	not	not	PART	Polarity=Neg	10 established	advmod
9	be	be	AUX	VerbForm=Inf	10 established	aux:pass
10	established	establish	VERB	Tense=Past VerbForm=Part Voice=Pass	13 appears	advcl
11	,	,	PUNCT	_	10 established	punct
12	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	13 appears	nsubj
13	appears	appear	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
14	likely	likely	ADJ	Degree=Pos	13 appears	xcomp
15	that	that	SCONJ	_	19 attribute	mark
16	scholars	scholar	NOUN	Number=Plur	19 attribute	nsubj
17	will	will	AUX	VerbForm=Fin	19 attribute	aux
18	hereafter	hereafter	ADV	_	19 attribute	advmod
19	attribute	attribute	VERB	VerbForm=Inf	14 likely	xcomp
20	the	the	DET	Definite=Def PronType=Art	21 discovery	det
21	discovery	discovery	NOUN	Number=Sing	19 attribute	obj
22	of	of	ADP	_	24 arithmetic	case
23	positional	positional	ADJ	Degree=Pos	24 arithmetic	amod
24	arithmetic	arithmetic	NOUN	Number=Sing	21 discovery	nmod
25	to	to	ADP	_	27 Babylonians	case
26	the	the	DET	Definite=Def PronType=Art	27 Babylonians	det
27	Babylonians	Babylonian	PROPN	Number=Plur	24 arithmetic	nmod
28	instead	instead	ADV	ExtPos=ADP	31 Hindoos	case
29	of	of	ADP	_	28 instead	fixed
30	the	the	DET	Definite=Def PronType=Art	31 Hindoos	det
31	Hindoos	Hindoo	PROPN	Number=Plur	27 Babylonians	nmod
32	.	.	PUNCT	_	13 appears	punct
33	"	"	PUNCT	_	13 appears	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	not establish a condition, not said to happen	can · passive		such early date		vn indicate-78-1-1 «NP V NP to be NP»
2	appear	present	it		likely property	vn appear-48.1.1 «NP V»: agent=Theme
3	attribute	future	scholars	the discovery of positional arithmetic to the Babylonians instead the Hindoos	hereafter property	tree rules
4	discover			positional arithmetic to the Babylonians instead the Hindoos		nom discovery «act transitive»: of=patient

Sentence 2: (Mordell, The Origin of Letters and Numerals according to Sefer Yetzirah (1914))

The tree, 12 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	(	(	PUNCT	_	2 Mordell	punct
2	Mordell	Mordell	PROPN	Number=Sing	root	root
3	,	,	PUNCT	_	5 Origin	punct
4	The	the	DET	Definite=Def PronType=Art	5 Origin	det
5	Origin	Origin	PROPN	Number=Sing	2 Mordell	appos
6	of	of	ADP	_	7 Letters	case
7	Letters	letter	NOUN	Number=Plur	5 Origin	nmod
8	and	and	CCONJ	_	9 Numerals	cc
9	Numerals	numeral	NOUN	Number=Plur	7 Letters	conj
10	according	accord	VERB	ExtPos=ADP Tense=Pres VerbForm=Part	12 Sefer	case
11	to	to	ADP	_	10 according	fixed
12	Sefer	Sefer	PROPN	Number=Sing	2 Mordell	nmod
13	Yetzirah	Yetzirah	PROPN	Number=Sing	12 Sefer	flat
14	(	(	PUNCT	_	15 1914	punct
15	1914	1914	NUM	NumForm=Digit NumType=Card	2 Mordell	list
16	))	))	PUNCT	_	2 Mordell	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	accord	gerund							vn future_having-13.3 «NP V NP.theme (PP)»: agent=Agent

Text: the English dictionary of Mova's schools (world/data/dictionary-schools/), written for Mova. Trees: Mova's own parse; they may be wrong. Frames: Mova's frames reader, each meaning and example read on its own. Elamur Cosmic License.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/dictionaries/english/L/likely/

📖 likely

Everyday, meaning 1

Everyday, meaning 2

Everyday, meaning 3

Example 1

Example 2

Example 3

Example 4

Example 5

Example 6

Example 7

Example 8

Example 9

Example 10

Example 11

likely