discrete Who acts: parts, Discrete data, whole numbers, number, Height, project · What happens: make, be, take, count, have, not buy · To what, where: each, certain values, discrete data, three discrete stages, size, job
«discrete» 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: discrete in the school dictionary .
Meaning 1 Separate and distinct; made of parts that are clearly apart from each other.
The tree, 13 words cc conj punct conj case obl nsubj cop advmod acl:relcl case obl fixed punct root Separate ADJ and CCONJ distinct ADJ ; PUNCT made VERB of ADP parts NOUN that PRON are AUX clearly ADV apart ADV from ADP each DET other ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Separate separate ADJ Degree=Pos root root 2 and and CCONJ _ 3 distinct cc 3 distinct distinct ADJ Degree=Pos 1 Separate conj 4 ; ; PUNCT _ 5 made punct 5 made make VERB Tense=Past VerbForm=Part Voice=Pass 1 Separate conj 6 of of ADP _ 7 parts case 7 parts part NOUN Number=Plur 5 made obl 8 that that PRON PronType=Rel 11 apart nsubj 9 are be AUX Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 11 apart cop 10 clearly clearly ADV _ 11 apart advmod 11 apart apart ADV _ 7 parts acl:relcl 12 from from ADP _ 13 each case 13 each each DET ExtPos=PRON PronType=Rcp 11 apart obl 14 other other ADJ Degree=Pos 13 each fixed 15 . . PUNCT _ 1 Separate punct
# verb tense, mood who what, whom to whom where when other roles by
1 make participle of parts vn build-26.1-1 «NP.asset V NP»: agent=Asset 2 is present parts each apart, clearly 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.
Meaning 2 Usage: maths — kept apart, not parsed.
Discrete data can only take certain values, usually whole numbers that you count, like the number of pets.
The tree, 18 words amod nsubj aux advmod amod obj punct advmod amod obj nsubj nsubj acl:relcl punct case det obl case nmod punct root Discrete ADJ data NOUN can AUX only ADV take VERB certain ADJ values NOUN , PUNCT usually ADV whole ADJ numbers NOUN that PRON you PRON count VERB , PUNCT like ADP the DET number NOUN of ADP pets NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Discrete discrete ADJ Degree=Pos 2 data amod 2 data data NOUN Number=Sing 5 take nsubj 3 can can AUX VerbForm=Fin 5 take aux 4 only only ADV _ 5 take advmod 5 take take VERB VerbForm=Inf root root 6 certain certain ADJ Degree=Pos 7 values amod 7 values value NOUN Number=Plur 5 take obj 8 , , PUNCT _ 11 numbers punct 9 usually usually ADV _ 11 numbers advmod 10 whole whole ADJ Degree=Pos 11 numbers amod 11 numbers number NOUN Number=Plur 5 take obj 12 that that PRON PronType=Rel 14 count nsubj 13 you you PRON Case=Nom Person=2 PronType=Prs 14 count nsubj 14 count count VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 11 numbers acl:relcl 15 , , PUNCT _ 18 number punct 16 like like ADP _ 18 number case 17 the the DET Definite=Def PronType=Art 18 number det 18 number number NOUN Number=Sing 14 count obl 19 of of ADP _ 20 pets case 20 pets pet NOUN Number=Plur 18 number nmod 21 . . PUNCT _ 5 take punct
# verb tense, mood who what, whom to whom where when other roles by
1 take can Discrete data certain values vn bring-11.3 «NP V NP ADVP»: agent=Instrument value=Theme number=Destination 2 count present whole numbers like the number of pets vn matter-91 «NP V»: agent=Stimulus
Example 1 The number of goals in a match is discrete data.
det nsubj case nmod case det nmod cop amod punct root The DET number NOUN of ADP goals NOUN in ADP a DET match NOUN is AUX discrete ADJ data NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 number det 2 number number NOUN Number=Sing 10 data nsubj 3 of of ADP _ 4 goals case 4 goals goal NOUN Number=Plur 2 number nmod 5 in in ADP _ 7 match case 6 a a DET Definite=Ind PronType=Art 7 match det 7 match match NOUN Number=Sing 4 goals nmod 8 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 10 data cop 9 discrete discrete ADJ Degree=Pos 10 data amod 10 data data NOUN Number=Sing root root 11 . . PUNCT _ 10 data punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present the number of goals in a match discrete data tree rules
Example 2 Height is continuous, but the number of children in a class is discrete.
The tree, 13 words nsubj cop punct cc det nsubj case nmod case det nmod cop conj punct root Height NOUN is AUX continuous ADJ , PUNCT but CCONJ the DET number NOUN of ADP children NOUN in ADP a DET class NOUN is AUX discrete ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Height height NOUN Number=Sing 3 continuous nsubj 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 continuous cop 3 continuous continuous ADJ Degree=Pos root root 4 , , PUNCT _ 14 discrete punct 5 but but CCONJ _ 14 discrete cc 6 the the DET Definite=Def PronType=Art 7 number det 7 number number NOUN Number=Sing 14 discrete nsubj 8 of of ADP _ 9 children case 9 children child NOUN Number=Plur 7 number nmod 10 in in ADP _ 12 class case 11 a a DET Definite=Ind PronType=Art 12 class det 12 class class NOUN Number=Sing 9 children nmod 13 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 14 discrete cop 14 discrete discrete ADJ Degree=Pos 3 continuous conj 15 . . PUNCT _ 3 continuous punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present Height continuous property tree rules 2 is present the number of children in a class discrete property tree rules
Example 3 The project has three discrete stages.
det nsubj nummod amod obj punct root The DET project NOUN has VERB three NUM discrete ADJ stages NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 project det 2 project project NOUN Number=Sing 3 has nsubj 3 has have VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 three three NUM NumForm=Word NumType=Card 6 stages nummod 5 discrete discrete ADJ Degree=Pos 6 stages amod 6 stages stage NOUN Number=Plur 3 has obj 7 . . PUNCT _ 3 has punct
# verb tense, mood who what, whom to whom where when other roles by
1 have present the project three discrete stages vn birth-28.2-1 «NP V NP»: agent=Agent stage=Patient
Example 4 Shoe sizes are discrete: you cannot buy size 4.37.
compound nsubj cop punct nsubj aux advmod conj obj flat punct root Shoe NOUN sizes NOUN are AUX discrete ADJ : PUNCT you PRON can AUX not PART buy VERB size NOUN 4.37 NUM . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Shoe shoe NOUN Number=Sing 2 sizes compound 2 sizes size NOUN Number=Plur 4 discrete nsubj 3 are be AUX Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 4 discrete cop 4 discrete discrete ADJ Degree=Pos root root 5 : : PUNCT _ 9 buy punct 6 you you PRON Case=Nom Person=2 PronType=Prs 9 buy nsubj 7 can can AUX VerbForm=Fin 9 buy aux 8 not not PART Polarity=Neg 9 buy advmod 9 buy buy VERB VerbForm=Inf 4 discrete conj 10 size size NOUN Number=Sing 9 buy obj 11 4.37 4.37 NUM NumForm=Digit NumType=Frac 10 size flat 12 . . PUNCT _ 4 discrete punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present Shoe sizes discrete property tree rules 2 not buy can you size vn accept-77.1 «NP V NP»: agent=Agent size=Theme
Example 5 The tablet split the job into discrete tasks.
det nsubj det obj case amod obl punct root The DET tablet NOUN split VERB the DET job NOUN into ADP discrete ADJ tasks NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 tablet det 2 tablet tablet NOUN Number=Sing 3 split nsubj 3 split split VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 4 the the DET Definite=Def PronType=Art 5 job det 5 job job NOUN Number=Sing 3 split obj 6 into into ADP _ 8 tasks case 7 discrete discrete ADJ Degree=Pos 8 tasks amod 8 tasks task NOUN Number=Plur 3 split obl 9 . . PUNCT _ 3 split punct
# verb tense, mood who what, whom to whom where when other roles by
1 split past the tablet the job into discrete tasks result vn break-45.1 «NP V NP PP.result»: agent=Agent job=Patient into task=Result
Example 6 Draw a bar chart with gaps for discrete data.
det compound obj case nmod case amod nmod punct root Draw VERB a DET bar NOUN chart NOUN with ADP gaps NOUN for ADP discrete ADJ data NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Draw draw VERB Mood=Imp VerbForm=Fin root root 2 a a DET Definite=Ind PronType=Art 4 chart det 3 bar bar NOUN Number=Sing 4 chart compound 4 chart chart NOUN Number=Sing 1 Draw obj 5 with with ADP _ 6 gaps case 6 gaps gap NOUN Number=Plur 4 chart nmod 7 for for ADP _ 9 data case 8 discrete discrete ADJ Degree=Pos 9 data amod 9 data data NOUN Number=Sing 6 gaps nmod 10 . . PUNCT _ 1 Draw punct
# verb tense, mood who what, whom to whom where when other roles by
1 draw imperative you not said here a bar chart with gaps for discrete data vn scribble-25.2-1 «NP V NP»: agent=Agent chart=Theme
Example 7 The puzzle had discrete pieces that fitted together.
det nsubj amod obj nsubj acl:relcl advmod punct root The DET puzzle NOUN had VERB discrete ADJ pieces NOUN that PRON fitted VERB together ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 puzzle det 2 puzzle puzzle NOUN Number=Sing 3 had nsubj 3 had have VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 4 discrete discrete ADJ Degree=Pos 5 pieces amod 5 pieces piece NOUN Number=Plur 3 had obj 6 that that PRON PronType=Rel 7 fitted nsubj 7 fitted fit VERB Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin 5 pieces acl:relcl 8 together together ADV _ 7 fitted advmod 9 . . PUNCT _ 3 had punct
# verb tense, mood who what, whom to whom where when other roles by
1 have past the puzzle discrete pieces vn birth-28.2-1 «NP V NP»: agent=Agent piece=Patient 2 fit together past discrete pieces together property vn adjust-26.9 «NP V S_ING»: agent=Agent
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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