likelihood Who acts: measure, likelihood, bus, Wearing, you, It · What happens: be, roll, wear, reduce, put, get · To what, where: 6, likelihood, helmet, events, likelihood scale, heads
«likelihood» 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: likelihood in the school dictionary .
Meaning 1 How likely something is to happen; the chance or probability of it.
advmod amod cop mark acl punct det appos cc conj case nmod punct root How ADV likely ADJ something PRON is AUX to PART happen VERB ; PUNCT the DET chance NOUN or CCONJ probability NOUN of ADP it PRON . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 How how ADV PronType=Int 2 likely advmod 2 likely likely ADJ Degree=Pos 3 something amod 3 something something PRON Number=Sing PronType=Ind root root 4 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 6 happen cop 5 to to PART _ 6 happen mark 6 happen happen VERB VerbForm=Inf 3 something acl 7 ; ; PUNCT _ 9 chance punct 8 the the DET Definite=Def PronType=Art 9 chance det 9 chance chance NOUN Number=Sing 3 something appos 10 or or CCONJ _ 11 probability cc 11 probability probability NOUN Number=Sing 9 chance conj 12 of of ADP _ 13 it case 13 it it PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs 11 probability nmod 14 . . PUNCT _ 3 something punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present happen 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.
A measure of how probable an event is, from impossible to certain.
det nsubj mark advmod nmod det nsubj cop punct case case obl punct root A DET measure NOUN of SCONJ how ADV probable ADJ an DET event NOUN is AUX , PUNCT from ADP impossible ADJ to ADP certain ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 measure det 2 measure measure NOUN Number=Sing 11 impossible nsubj 3 of of SCONJ _ 5 probable mark 4 how how ADV PronType=Int 5 probable advmod 5 probable probable ADJ Degree=Pos 2 measure nmod 6 an a DET Definite=Ind PronType=Art 7 event det 7 event event NOUN Number=Sing 5 probable nsubj 8 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 11 impossible cop 9 , , PUNCT _ 11 impossible punct 10 from from ADP _ 11 impossible case 11 impossible impossible ADJ Degree=Pos root root 12 to to ADP _ 13 certain case 13 certain certain ADJ Degree=Pos 11 impossible obl 14 . . PUNCT _ 11 impossible punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present a measure probable to certain; impossible property tree rules
Example 1 What is the likelihood of rolling a 6?
cop det nsubj mark acl det obj punct root What PRON is AUX the DET likelihood NOUN of SCONJ rolling VERB a DET 6 NUM ? PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 What what PRON PronType=Int root root 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 1 What cop 3 the the DET Definite=Def PronType=Art 4 likelihood det 4 likelihood likelihood NOUN Number=Sing 1 What nsubj 5 of of SCONJ _ 6 rolling mark 6 rolling roll VERB VerbForm=Ger 4 likelihood acl 7 a a DET Definite=Ind PronType=Art 8 6 det 8 6 6 NUM NumForm=Digit NumType=Card 6 rolling obj 9 ? ? PUNCT _ 1 What punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present the likelihood tree rules 2 roll gerund the likelihood not said here a 6 vn run-51.3.2-2 «NP V NP»: agent=Agent 6=Agent
Example 2 The likelihood of rain tomorrow is high.
det nsubj case nmod nmod:unmarked cop punct root The DET likelihood NOUN of ADP rain NOUN tomorrow NOUN is AUX high ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 likelihood det 2 likelihood likelihood NOUN Number=Sing 7 high nsubj 3 of of ADP _ 4 rain case 4 rain rain NOUN Number=Sing 2 likelihood nmod 5 tomorrow tomorrow NOUN Number=Sing 2 likelihood nmod:unmarked 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 7 high cop 7 high high ADJ Degree=Pos root root 8 . . PUNCT _ 7 high punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present the likelihood of rain tomorrow high property tree rules
Example 3 In all likelihood, the bus will be late again.
case det obl punct det nsubj aux cop advmod punct root In ADP all DET likelihood NOUN , PUNCT the DET bus NOUN will AUX be AUX late ADJ again ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 In in ADP _ 3 likelihood case 2 all all DET PronType=Tot 3 likelihood det 3 likelihood likelihood NOUN Number=Sing 9 late obl 4 , , PUNCT _ 3 likelihood punct 5 the the DET Definite=Def PronType=Art 6 bus det 6 bus bus NOUN Number=Sing 9 late nsubj 7 will will AUX VerbForm=Fin 9 late aux 8 be be AUX VerbForm=Inf 9 late cop 9 late late ADJ Degree=Pos root root 10 again again ADV _ 9 late advmod 11 . . PUNCT _ 9 late punct
# verb tense, mood who what, whom to whom where when other roles by
1 is future the bus all likelihood again late property tree rules
Example 4 Wearing a helmet reduces the likelihood of a head injury.
csubj det obj det obj case det compound nmod punct root Wearing VERB a DET helmet NOUN reduces VERB the DET likelihood NOUN of ADP a DET head NOUN injury NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Wearing wear VERB VerbForm=Ger 4 reduces csubj 2 a a DET Definite=Ind PronType=Art 3 helmet det 3 helmet helmet NOUN Number=Sing 1 Wearing obj 4 reduces reduce VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 5 the the DET Definite=Def PronType=Art 6 likelihood det 6 likelihood likelihood NOUN Number=Sing 4 reduces obj 7 of of ADP _ 10 injury case 8 a a DET Definite=Ind PronType=Art 10 injury det 9 head head NOUN Number=Sing 10 injury compound 10 injury injury NOUN Number=Sing 6 likelihood nmod 11 . . PUNCT _ 4 reduces punct
# verb tense, mood who what, whom to whom where when other roles by
1 wear gerund a helmet vn wipe_manner-10.4.1-1 «NP V NP.theme»: agent=Agent helmet=Theme 2 reduce present Wearing the likelihood of a head injury vn limit-76 «NP V NP»: agent=Causer likelihood=Patient
Example 5 Put the events on the likelihood scale from impossible to certain.
det obj case det compound obl case parataxis case obl punct root Put VERB the DET events NOUN on ADP the DET likelihood NOUN scale NOUN from ADP impossible ADJ to ADP certain ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Put put VERB Mood=Imp VerbForm=Fin root root 2 the the DET Definite=Def PronType=Art 3 events det 3 events event NOUN Number=Plur 1 Put obj 4 on on ADP _ 7 scale case 5 the the DET Definite=Def PronType=Art 7 scale det 6 likelihood likelihood NOUN Number=Sing 7 scale compound 7 scale scale NOUN Number=Sing 1 Put obl 8 from from ADP _ 9 impossible case 9 impossible impossible ADJ Degree=Pos 1 Put parataxis 10 to to ADP _ 11 certain case 11 certain certain ADJ Degree=Pos 9 impossible obl 12 . . PUNCT _ 1 Put punct
# verb tense, mood who what, whom to whom where when other roles by
1 put imperative you not said here the events the likelihood scale vn put-9.1-2 «NP V PP.destination NP»: agent=Agent event=Theme on scale=Destination
Example 6 The likelihood of getting heads on a coin is one half.
det nsubj mark acl obj case det obl cop nummod punct root The DET likelihood NOUN of SCONJ getting VERB heads NOUN on ADP a DET coin NOUN is AUX one NUM half NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 likelihood det 2 likelihood likelihood NOUN Number=Sing 11 half nsubj 3 of of SCONJ _ 4 getting mark 4 getting get VERB VerbForm=Ger 2 likelihood acl 5 heads head NOUN Number=Plur 4 getting obj 6 on on ADP _ 8 coin case 7 a a DET Definite=Ind PronType=Art 8 coin det 8 coin coin NOUN Number=Sing 4 getting obl 9 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 11 half cop 10 one one NUM NumForm=Word NumType=Card 11 half nummod 11 half half NOUN Number=Sing NumForm=Word NumType=Frac root root 12 . . PUNCT _ 11 half punct
# verb tense, mood who what, whom to whom where when other roles by
1 get gerund the likelihood not said here heads a coin vn get-13.5.1-1 «NP V NP PP.source»: agent=Agent head=Theme on coin=Source 2 is a present the likelihood one half tree rules
Example 7 It was therefore with great surprise and annoyance that he now learned of the mysterious return of the hares and the likelihood of Jesper carrying out his task with success.
The tree, 30 words nsubj cop advmod case amod cc conj mark nsubj advmod advcl case det amod obl case det nmod cc det conj case nmod acl compound:prt nmod:poss obj case obl punct root It PRON was AUX therefore ADV with ADP great ADJ surprise NOUN and CCONJ annoyance NOUN that SCONJ he PRON now ADV learned VERB of ADP the DET mysterious ADJ return NOUN of ADP the DET hares NOUN and CCONJ the DET likelihood NOUN of ADP Jesper PROPN carrying VERB out ADP his PRON task NOUN with ADP success NOUN . PUNCT 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 6 surprise nsubj 2 was be AUX Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 6 surprise cop 3 therefore therefore ADV _ 6 surprise advmod 4 with with ADP _ 6 surprise case 5 great great ADJ Degree=Pos 6 surprise amod 6 surprise surprise NOUN Number=Sing root root 7 and and CCONJ _ 8 annoyance cc 8 annoyance annoyance NOUN Number=Sing 6 surprise conj 9 that that SCONJ _ 12 learned mark 10 he he PRON Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs 12 learned nsubj 11 now now ADV PronType=Dem 12 learned advmod 12 learned learn VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 6 surprise advcl 13 of of ADP _ 16 return case 14 the the DET Definite=Def PronType=Art 16 return det 15 mysterious mysterious ADJ Degree=Pos 16 return amod 16 return return NOUN Number=Sing 12 learned obl 17 of of ADP _ 19 hares case 18 the the DET Definite=Def PronType=Art 19 hares det 19 hares hare NOUN Number=Plur 16 return nmod 20 and and CCONJ _ 22 likelihood cc 21 the the DET Definite=Def PronType=Art 22 likelihood det 22 likelihood likelihood NOUN Number=Sing 19 hares conj 23 of of ADP _ 24 Jesper case 24 Jesper Jesper PROPN Number=Sing 22 likelihood nmod 25 carrying carry VERB VerbForm=Ger 22 likelihood acl 26 out out ADP _ 25 carrying compound:prt 27 his his PRON Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs 28 task nmod:poss 28 task task NOUN Number=Sing 25 carrying obj 29 with with ADP _ 30 success case 30 success success NOUN Number=Sing 25 carrying obl 31 . . PUNCT _ 6 surprise punct
# verb tense, mood who what, whom to whom where when other roles by
1 is past It with great surprise and annoyance; therefore property tree rules 2 learn past he now of the mysterious return of the hares and the likelihood of Jesper vn learn-14-2-1 «NP V PP.topic»: agent=Agent of return=Topic 3 carry out gerund the likelihood of Jesper not said here Jesper's task with success vn act-114 «NP V NP»: agent=Agent task=Eventuality 4 return the hares and the likelihood of Jesper nom return «communication intransitive»: of=agent 5 task Jesper nom task «act transitive»: poss=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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