uncertainty Who acts: you, much measurement, lot, tomorrow, Moving, measurement · What happens: not be, not know, be, weather, move, bring · To what, where: new school, uncertainty, us
«uncertainty» in the school dictionary: its 3 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: uncertainty in the school dictionary .
Meaning 1 The feeling or state of not being sure about something.
det cc conj case advmod cop nmod case obl punct root The DET feeling NOUN or CCONJ state NOUN of ADP not PART being AUX sure ADJ about ADP something PRON . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 feeling det 2 feeling feeling NOUN Number=Sing root root 3 or or CCONJ _ 4 state cc 4 state state NOUN Number=Sing 2 feeling conj 5 of of ADP _ 8 sure case 6 not not PART Polarity=Neg 8 sure advmod 7 being be AUX Tense=Pres VerbForm=Part 8 sure cop 8 sure sure ADJ Degree=Pos 4 state nmod 9 about about ADP _ 10 something case 10 something something PRON Number=Sing PronType=Ind 8 sure obl 11 . . PUNCT _ 2 feeling punct
# verb tense, mood who what, whom to whom where when other roles by
1 not is gerund about something; sure 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 Something that you do not know or cannot be sure about.
obj nsubj aux advmod acl:relcl cc aux advmod cop conj obl punct root Something PRON that PRON you PRON do AUX not PART know VERB or CCONJ can AUX not PART be AUX sure ADJ about ADP . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Something something PRON Number=Sing PronType=Ind root root 2 that that PRON PronType=Rel 6 know obj 3 you you PRON Case=Nom Person=2 PronType=Prs 6 know nsubj 4 do do AUX Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin 6 know aux 5 not not PART Polarity=Neg 6 know advmod 6 know know VERB VerbForm=Inf 1 Something acl:relcl 7 or or CCONJ _ 11 sure cc 8 can can AUX VerbForm=Fin 11 sure aux 9 not not PART Polarity=Neg 11 sure advmod 10 be be AUX VerbForm=Inf 11 sure cop 11 sure sure ADJ Degree=Pos 6 know conj 12 about about ADP _ 11 sure obl 13 . . PUNCT _ 1 Something punct
# verb tense, mood who what, whom to whom where when other roles by
1 not know present · do-support you vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer that=Stimulus 2 not is can you not said here sure property tree rules
Meaning 3 Usage: science, maths — kept apart, not parsed.
How much a measurement might be wrong; the range of possible values.
advmod amod det nsubj aux cop punct det conj case amod nmod punct root How ADV much ADJ a DET measurement NOUN might AUX be AUX wrong ADJ ; PUNCT the DET range NOUN of ADP possible ADJ values NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 How how ADV PronType=Int 2 much advmod 2 much much ADJ Degree=Pos 4 measurement amod 3 a a DET Definite=Ind PronType=Art 4 measurement det 4 measurement measurement NOUN Number=Sing 7 wrong nsubj 5 might might AUX VerbForm=Fin 7 wrong aux 6 be be AUX VerbForm=Inf 7 wrong cop 7 wrong wrong ADJ Degree=Pos root root 8 ; ; PUNCT _ 10 range punct 9 the the DET Definite=Def PronType=Art 10 range det 10 range range NOUN Number=Sing 7 wrong conj 11 of of ADP _ 13 values case 12 possible possible ADJ Degree=Pos 13 values amod 13 values value NOUN Number=Plur 10 range nmod 14 . . PUNCT _ 7 wrong punct
# verb tense, mood who what, whom to whom where when other roles by
1 is might a much measurement wrong property tree rules
Example 1 There is a lot of uncertainty about tomorrow's weather.
expl det nsubj case nmod case nmod:poss case nmod punct root There PRON is VERB a DET lot NOUN of ADP uncertainty NOUN about ADP tomorrow NOUN 's PART weather NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 There there PRON PronType=Dem 2 is expl 2 is be VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 3 a a DET Definite=Ind PronType=Art 4 lot det 4 lot lot NOUN Number=Sing 2 is nsubj 5 of of ADP _ 6 uncertainty case 6 uncertainty uncertainty NOUN Number=Sing 4 lot nmod 7 about about ADP _ 10 weather case 8 tomorrow tomorrow NOUN Number=Sing 10 weather nmod:poss 9 's 's PART _ 8 tomorrow case 10 weather weather NOUN Number=Sing 6 uncertainty nmod 11 . . PUNCT _ 2 is punct
# verb tense, mood who what, whom to whom where when other roles by
1 be present a lot of uncertainty about tomorrow's weather there vn exist-47.1 «NP V»: agent=Theme 2 weather tomorrow nom weather «phenomenon transitive»: poss=agent
Example 2 Moving to a new school brought months of uncertainty.
csubj case det amod obl obj case nmod punct root Moving VERB to ADP a DET new ADJ school NOUN brought VERB months NOUN of ADP uncertainty NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Moving move VERB VerbForm=Ger 6 brought csubj 2 to to ADP _ 5 school case 3 a a DET Definite=Ind PronType=Art 5 school det 4 new new ADJ Degree=Pos 5 school amod 5 school school NOUN Number=Sing 1 Moving obl 6 brought bring VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 7 months month NOUN Number=Plur 6 brought obj 8 of of ADP _ 9 uncertainty case 9 uncertainty uncertainty NOUN Number=Sing 7 months nmod 10 . . PUNCT _ 6 brought punct
# verb tense, mood who what, whom to whom where when other roles by
1 move gerund a new school vn roll-51.3.1 «NP V PP.trajectory»: agent=Theme to school=Trajectory 2 bring past Moving month vn bring-11.3-1 «NP V NP together»: agent=Agent
Example 3 Every measurement has some uncertainty.
det nsubj det obj punct root Every DET measurement NOUN has VERB some DET uncertainty NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Every every DET PronType=Tot 2 measurement det 2 measurement measurement NOUN Number=Sing 3 has nsubj 3 has have VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 some some DET PronType=Ind 5 uncertainty det 5 uncertainty uncertainty NOUN Number=Sing 3 has obj 6 . . PUNCT _ 3 has punct
# verb tense, mood who what, whom to whom where when other roles by
1 have present every measurement some uncertainty vn birth-28.2-1 «NP V NP»: agent=Agent uncertainty=Patient
Example 4 Probability helps us talk about uncertainty.
nsubj obj xcomp case obl punct root Probability NOUN helps VERB us PRON talk VERB about ADP uncertainty NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Probability probability NOUN Number=Sing 2 helps nsubj 2 helps help VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 3 us we PRON Case=Acc Number=Plur Person=1 PronType=Prs 2 helps obj 4 talk talk VERB VerbForm=Inf 2 helps xcomp 5 about about ADP _ 6 uncertainty case 6 uncertainty uncertainty NOUN Number=Sing 4 talk obl 7 . . PUNCT _ 2 helps punct
# verb tense, mood who what, whom to whom where when other roles by
1 help present Probability us vn help-72.1-1-1 «NP V NP S_INF»: agent=Agent we=Beneficiary clause=Theme 2 talk infinitive us not said here about uncertainty vn talk-37.5 «NP V PP.topic»: agent=Agent about uncertainty=Topic
Example 5 She felt uncertainty about which club to join.
nsubj obj case det nmod mark acl punct root She PRON felt VERB uncertainty NOUN about ADP which DET club NOUN to PART join VERB . PUNCT 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 2 felt nsubj 2 felt feel VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 uncertainty uncertainty NOUN Number=Sing 2 felt obj 4 about about ADP _ 6 club case 5 which which DET PronType=Int 6 club det 6 club club NOUN Number=Sing 3 uncertainty nmod 7 to to PART _ 8 join mark 8 join join VERB VerbForm=Inf 6 club acl 9 . . PUNCT _ 2 felt punct
# verb tense, mood who what, whom to whom where when other roles by
1 feel past She uncertainty about which club vn hunt-35.1 «NP V NP PP.location»: agent=Agent uncertainty=Theme about club=Location 2 join to-infinitive She not said here vn mix-22.1-2-1 «NP V»: agent=Patient
Example 6 Life is full of uncertainties.
nsubj cop case obl punct root Life NOUN is AUX full ADJ of ADP uncertainties NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Life life NOUN Number=Sing 3 full nsubj 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 full cop 3 full full ADJ Degree=Pos root root 4 of of ADP _ 5 uncertainties case 5 uncertainties uncertainty NOUN Number=Plur 3 full obl 6 . . PUNCT _ 3 full punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present Life of uncertainties; full property tree rules
Example 7 Poverty with security is better than plenty in the midst of fear and uncertainty.
The tree, 14 words nsubj case nmod cop case obl case det nmod case nmod cc conj punct root Poverty NOUN with ADP security NOUN is AUX better ADJ than ADP plenty NOUN in ADP the DET midst NOUN of ADP fear NOUN and CCONJ uncertainty NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Poverty poverty NOUN Number=Sing 5 better nsubj 2 with with ADP _ 3 security case 3 security security NOUN Number=Sing 1 Poverty nmod 4 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 5 better cop 5 better good ADJ Degree=Cmp root root 6 than than ADP _ 7 plenty case 7 plenty plenty NOUN Number=Sing 5 better obl 8 in in ADP _ 10 midst case 9 the the DET Definite=Def PronType=Art 10 midst det 10 midst midst NOUN Number=Sing 7 plenty nmod 11 of of ADP _ 12 fear case 12 fear fear NOUN Number=Sing 10 midst nmod 13 and and CCONJ _ 14 uncertainty cc 14 uncertainty uncertainty NOUN Number=Sing 12 fear conj 15 . . PUNCT _ 5 better punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present Poverty with security than plenty in the midst of fear and uncertainty; good 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.
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