precise

Who acts: you, recipe, line, bell, surgeon, clock · What happens: do, use, stress, mean, give, need · To what, where: things, one, precise answer, precise amounts, flour, precise words

«precise» in the English 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: precise in the English dictionary.

Everyday, meaning 1

Exact and correct in every small detail.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Exact	exact	ADJ	Degree=Pos	root	root
2	and	and	CCONJ	_	3 correct	cc
3	correct	correct	ADJ	Degree=Pos	1 Exact	conj
4	in	in	ADP	_	7 detail	case
5	every	every	DET	PronType=Tot	7 detail	det
6	small	small	ADJ	Degree=Pos	7 detail	amod
7	detail	detail	NOUN	Number=Sing	3 correct	obl
8	.	.	PUNCT	_	1 Exact	punct

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

Everyday, meaning 2

Very careful and accurate in doing things.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Very	very	ADV	_	2 careful	advmod
2	careful	careful	ADJ	Degree=Pos	root	root
3	and	and	CCONJ	_	4 accurate	cc
4	accurate	accurate	ADJ	Degree=Pos	2 careful	conj
5	in	in	SCONJ	_	6 doing	mark
6	doing	do	VERB	Tense=Pres VerbForm=Part	4 accurate	advcl
7	things	thing	NOUN	Number=Plur	6 doing	obj
8	.	.	PUNCT	_	2 careful	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	gerund		things					vn act-114-1 «NP V NP»: agent=Agent thing=Eventuality

Everyday, meaning 3

Used to stress that you mean exactly this one: «at that precise moment».

The tree, 13 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Used	use	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
2	to	to	PART	_	3 stress	mark
3	stress	stress	VERB	VerbForm=Inf	1 Used	xcomp
4	that	that	SCONJ	_	6 mean	mark
5	you	you	PRON	Case=Nom Person=2 PronType=Prs	6 mean	nsubj
6	mean	mean	VERB	Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin	3 stress	advcl
7	exactly	exactly	ADV	_	9 one	advmod
8	this	this	DET	Number=Sing PronType=Dem	9 one	det
9	one	one	NOUN	Number=Sing	6 mean	obj
10	:	:	PUNCT	_	15 moment	punct
11	«	«	PUNCT	_	15 moment	punct
12	at	at	ADP	_	15 moment	case
13	that	that	DET	Number=Sing PronType=Dem	15 moment	det
14	precise	precise	ADJ	Degree=Pos	15 moment	amod
15	moment	moment	NOUN	Number=Sing	9 one	appos
16	»	»	PUNCT	_	15 moment	punct
17	.	.	PUNCT	_	1 Used	punct

#	verb	tense, mood	who	what, whom	roles by
1	use	participle			vn use-105.1 «NP V NP S_INF»: agent=Agent clause=Eventuality
2	stress	to-infinitive			vn marvel-31.3 «NP V»: agent=Experiencer
3	mean	present	you	this one	vn intend-61.2-1 «NP V NP»: agent=Agent one=Topic

Example 1

Please give a precise answer, not a guess.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Please	please	INTJ	_	2 give	discourse
2	give	give	VERB	Mood=Imp VerbForm=Fin	root	root
3	a	a	DET	Definite=Ind PronType=Art	5 answer	det
4	precise	precise	ADJ	Degree=Pos	5 answer	amod
5	answer	answer	NOUN	Number=Sing	2 give	obj
6	,	,	PUNCT	_	9 guess	punct
7	not	not	PART	Polarity=Neg	9 guess	advmod
8	a	a	DET	Definite=Ind PronType=Art	9 guess	det
9	guess	guess	NOUN	Number=Sing	2 give	conj
10	.	.	PUNCT	_	2 give	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	give	imperative	you not said here	a precise answer				a guess conj	vn give-13.1-1 «NP V NP»: agent=Agent answer=Theme

Example 2

The recipe needs precise amounts of flour and sugar.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 recipe	det
2	recipe	recipe	NOUN	Number=Sing	3 needs	nsubj
3	needs	need	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	precise	precise	ADJ	Degree=Pos	5 amounts	amod
5	amounts	amount	NOUN	Number=Plur	3 needs	obj
6	of	of	ADP	_	7 flour	case
7	flour	flour	NOUN	Number=Sing	5 amounts	nmod
8	and	and	CCONJ	_	9 sugar	cc
9	sugar	sugar	NOUN	Number=Sing	7 flour	conj
10	.	.	PUNCT	_	3 needs	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	need	present	the recipe	precise amounts of flour and sugar					vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot amount=Theme
2	amount			flour and sugar					nom amount «possession transitive»: of=patient

Example 3

The line is 7.4 centimetres long, to be precise.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 line	det
2	line	line	NOUN	Number=Sing	6 long	nsubj
3	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 long	cop
4	7.4	7.4	NUM	NumForm=Digit NumType=Card	5 centimetres	nummod
5	centimetres	centimetre	NOUN	Number=Plur	6 long	obl:unmarked
6	long	long	ADJ	Degree=Pos	root	root
7	,	,	PUNCT	_	10 precise	punct
8	to	to	PART	_	10 precise	mark
9	be	be	AUX	VerbForm=Inf	10 precise	cop
10	precise	precise	ADJ	Degree=Pos	6 long	conj
11	.	.	PUNCT	_	6 long	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	the line					7.4 centimetres obl:unmarked; long property	tree rules
2	is	to-infinitive	the line not said here					precise property	tree rules

Example 4

At that precise moment, the bell rang.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	At	at	ADP	_	4 moment	case
2	that	that	DET	Number=Sing PronType=Dem	4 moment	det
3	precise	precise	ADJ	Degree=Pos	4 moment	amod
4	moment	moment	NOUN	Number=Sing	8 rang	obl
5	,	,	PUNCT	_	4 moment	punct
6	the	the	DET	Definite=Def PronType=Art	7 bell	det
7	bell	bell	NOUN	Number=Sing	8 rang	nsubj
8	rang	ring	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
9	.	.	PUNCT	_	8 rang	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	ring	past	the bell				moment		vn sound_emission-43.2 «NP V»: agent=Theme

Example 5

A surgeon must be very precise.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 surgeon	det
2	surgeon	surgeon	NOUN	Number=Sing	6 precise	nsubj
3	must	must	AUX	VerbForm=Fin	6 precise	aux
4	be	be	AUX	VerbForm=Inf	6 precise	cop
5	very	very	ADV	_	6 precise	advmod
6	precise	precise	ADJ	Degree=Pos	root	root
7	.	.	PUNCT	_	6 precise	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	must	a surgeon					precise property	tree rules

Example 6

Use precise words to describe your character.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Use	use	VERB	Mood=Imp VerbForm=Fin	root	root
2	precise	precise	ADJ	Degree=Pos	3 words	amod
3	words	word	NOUN	Number=Plur	1 Use	obj
4	to	to	PART	_	5 describe	mark
5	describe	describe	VERB	VerbForm=Inf	1 Use	advcl
6	your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	7 character	nmod:poss
7	character	character	NOUN	Number=Sing	5 describe	obj
8	.	.	PUNCT	_	1 Use	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	use	imperative	you not said here	precise words					vn eat-39.1 «NP V NP»: agent=Agent word=Patient
2	describe	to-infinitive	you not said here	your character					vn characterize-29.2-1-1 «NP V NP S_ING»: agent=Agent character=Theme

Example 7

The clock gives the precise time.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 clock	det
2	clock	clock	NOUN	Number=Sing	3 gives	nsubj
3	gives	give	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	the	the	DET	Definite=Def PronType=Art	6 time	det
5	precise	precise	ADJ	Degree=Pos	6 time	amod
6	time	time	NOUN	Number=Sing	3 gives	obj
7	.	.	PUNCT	_	3 gives	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	give	present	the clock				time		vn break_down-45.8 «NP V»: agent=Patient

Example 8

Those were her precise words, so there can be no denying that it was she who first tempted him.

The tree, 19 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Those	that	PRON	Number=Plur PronType=Dem	5 words	nsubj
2	were	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	5 words	cop
3	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	5 words	nmod:poss
4	precise	precise	ADJ	Degree=Pos	5 words	amod
5	words	word	NOUN	Number=Plur	root	root
6	,	,	PUNCT	_	10 be	punct
7	so	so	ADV	_	10 be	advmod
8	there	there	PRON	PronType=Dem	10 be	expl
9	can	can	AUX	VerbForm=Fin	10 be	aux
10	be	be	VERB	VerbForm=Inf	5 words	conj
11	no	no	DET	PronType=Neg	12 denying	det
12	denying	deny	VERB	Tense=Pres VerbForm=Part	10 be	advcl
13	that	that	SCONJ	_	19 tempted	mark
14	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	16 she	nsubj
15	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	16 she	cop
16	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	19 tempted	nsubj
17	who	who	PRON	PronType=Rel	19 tempted	nsubj
18	first	first	ADV	NumForm=Word NumType=Ord	19 tempted	advmod
19	tempted	tempt	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	12 denying	advcl
20	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	19 tempted	obj
21	.	.	PUNCT	_	5 words	punct

#	verb	tense, mood	who	what, whom	to whom	where	other	roles by
1	is a	past	Those	her precise words			her = she nmod:poss	tree rules
2	can	can	Those not said here			there		vn exist-47.1 «NP V»: agent=Theme
3	deny	gerund	Those not said here					vn conjecture-29.5 «NP V that S»: agent=Agent
4	is a	past	it	she				tree rules
5	tempt	past	she		him = he		who nsubj; first property	vn urge-58.1-1 «NP V NP»: agent=Agent he=Recipient

Example 9

The precise meanings of these subdivisions will be subsequently explored in chapters 3, 4, and 5. (Sefer Yetzirah, Sefaria community translation)

Sentence 1: The precise meanings of these subdivisions will be subsequently explored in chapters 3, 4, and 5.

The tree, 16 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	3 meanings	det
2	precise	precise	ADJ	Degree=Pos	3 meanings	amod
3	meanings	meaning	NOUN	Number=Plur	10 explored	nsubj:pass
4	of	of	ADP	_	6 subdivisions	case
5	these	this	DET	Number=Plur PronType=Dem	6 subdivisions	det
6	subdivisions	subdivision	NOUN	Number=Plur	3 meanings	nmod
7	will	will	AUX	VerbForm=Fin	10 explored	aux
8	be	be	AUX	VerbForm=Inf	10 explored	aux:pass
9	subsequently	subsequently	ADV	_	10 explored	advmod
10	explored	explore	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
11	in	in	ADP	_	12 chapters	case
12	chapters	chapter	NOUN	Number=Plur	10 explored	obl
13	3	3	NUM	NumForm=Digit NumType=Card	12 chapters	flat
14	,	,	PUNCT	_	15 4	punct
15	4	4	NUM	NumForm=Digit NumType=Card	13 3	conj
16	,	,	PUNCT	_	18 5	punct
17	and	and	CCONJ	_	18 5	cc
18	5	5	NUM	NumForm=Digit NumType=Card	10 explored	obl
19	.	.	PUNCT	_	10 explored	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	explore	future · passive		the precise meanings of this subdivisions		chapters		5 obl; subsequently property	vn investigate-35.4 «NP V NP.location»: subject=Location
2	mean			this subdivisions					nom meaning «communication transitive»: of=patient

Sentence 2: (Sefer Yetzirah, Sefaria community translation)

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	(	(	PUNCT	_	2 Sefer	punct
2	Sefer	Sefer	PROPN	Number=Sing	root	root
3	Yetzirah	Yetzirah	PROPN	Number=Sing	2 Sefer	flat
4	,	,	PUNCT	_	7 translation	punct
5	Sefaria	Sefaria	PROPN	Number=Sing	7 translation	compound
6	community	community	NOUN	Number=Sing	7 translation	compound
7	translation	translation	NOUN	Number=Sing	2 Sefer	appos
8	)	)	PUNCT	_	2 Sefer	punct

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

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/P/precise/

📖 precise

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

precise