intelligence Who acts: Intelligence, Secret information, people, artificial intelligence, tasks, third Path · What happens: be, learn, understand, think, gather, do · To what, where: ability, information, tasks, thinking, news, Stable Intelligence · Speech: someone speaks here
«intelligence» in the Judaism dictionary: its 4 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: intelligence in the Judaism dictionary .
Meaning 1 Intelligence is the ability to learn, understand and think clearly.
nsubj cop det mark acl punct conj cc conj advmod punct root Intelligence NOUN is AUX the DET ability NOUN to PART learn VERB , PUNCT understand VERB and CCONJ think VERB clearly ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Intelligence intelligence NOUN Number=Sing 4 ability nsubj 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 4 ability cop 3 the the DET Definite=Def PronType=Art 4 ability det 4 ability ability NOUN Number=Sing root root 5 to to PART _ 6 learn mark 6 learn learn VERB VerbForm=Inf 4 ability acl 7 , , PUNCT _ 8 understand punct 8 understand understand VERB VerbForm=Inf 6 learn conj 9 and and CCONJ _ 10 think cc 10 think think VERB VerbForm=Inf 6 learn conj 11 clearly clearly ADV _ 10 think advmod 12 . . PUNCT _ 4 ability punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present Intelligence the ability tree rules 2 learn to-infinitive vn learn-14-1 «NP V»: agent=Agent 3 understand infinitive vn comprehend-87.2-1-1-1 «NP V»: agent=Experiencer 4 think speech: other infinitive clearly property vn focus-87.1-1 «NP V»: agent=Agent
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 Secret information gathered about enemies or dangers, and the people who gather it: «military intelligence».
The tree, 15 words amod nsubj case obl cc conj punct cc det nsubj nsubj conj obj punct punct amod appos punct punct root Secret ADJ information NOUN gathered VERB about ADP enemies NOUN or CCONJ dangers NOUN , PUNCT and CCONJ the DET people NOUN who PRON gather VERB it PRON : PUNCT « PUNCT military ADJ intelligence NOUN » PUNCT . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Secret secret ADJ Degree=Pos 2 information amod 2 information information NOUN Number=Sing 3 gathered nsubj 3 gathered gather VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 4 about about ADP _ 5 enemies case 5 enemies enemy NOUN Number=Plur 3 gathered obl 6 or or CCONJ _ 7 dangers cc 7 dangers danger NOUN Number=Plur 5 enemies conj 8 , , PUNCT _ 13 gather punct 9 and and CCONJ _ 13 gather cc 10 the the DET Definite=Def PronType=Art 11 people det 11 people people NOUN Number=Plur 13 gather nsubj 12 who who PRON PronType=Rel 13 gather nsubj 13 gather gather VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 3 gathered conj 14 it it PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs 13 gather obj 15 : : PUNCT _ 13 gather punct 16 « « PUNCT _ 18 intelligence punct 17 military military ADJ Degree=Pos 18 intelligence amod 18 intelligence intelligence NOUN Number=Sing 13 gather appos 19 » » PUNCT _ 18 intelligence punct 20 . . PUNCT _ 3 gathered punct
# verb tense, mood who what, whom to whom where when other roles by
1 gather past Secret information about enemies or dangers vn herd-47.5.2 «NP V»: agent=Theme 2 gather present the people information vn deduce-97.2 «NP V NP»: agent=Agent it=Theme
Meaning 3 In computers, artificial intelligence (AI) is a machine's ability to do tasks that seem to need thinking.
The tree, 18 words case obl punct amod nsubj punct appos punct cop det nmod:poss case mark acl obj nsubj acl:relcl mark xcomp obj punct root In ADP computers NOUN , PUNCT artificial ADJ intelligence NOUN ( PUNCT AI NOUN ) PUNCT is AUX a DET machine NOUN 's PART ability NOUN to PART do VERB tasks NOUN that PRON seem VERB to PART need VERB thinking NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 In in ADP _ 2 computers case 2 computers computer NOUN Number=Plur 5 intelligence obl 3 , , PUNCT _ 2 computers punct 4 artificial artificial ADJ Degree=Pos 5 intelligence amod 5 intelligence intelligence NOUN Number=Sing 13 ability nsubj 6 ( ( PUNCT _ 7 AI punct 7 AI ai NOUN Number=Sing 5 intelligence appos 8 ) ) PUNCT _ 7 AI punct 9 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 13 ability cop 10 a a DET Definite=Ind PronType=Art 11 machine det 11 machine machine NOUN Number=Sing 13 ability nmod:poss 12 's 's PART _ 11 machine case 13 ability ability NOUN Number=Sing root root 14 to to PART _ 15 do mark 15 do do VERB VerbForm=Inf 13 ability acl 16 tasks task NOUN Number=Plur 15 do obj 17 that that PRON PronType=Rel 18 seem nsubj 18 seem seem VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 16 tasks acl:relcl 19 to to PART _ 20 need mark 20 need need VERB VerbForm=Inf 18 seem xcomp 21 thinking thinking NOUN Number=Sing 20 need obj 22 . . PUNCT _ 13 ability punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present artificial intelligence a machine's ability tree rules 2 do to-infinitive tasks vn act-114-1 «NP V NP»: agent=Agent task=Eventuality 3 seem present tasks vn seem-109-1-1-1 «NP V S_INF»: agent=Theme clause=Attribute 4 need to-infinitive tasks not said here thinking vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot thinking=Theme
Meaning 4 Intelligence can also mean news or information about something.
nsubj aux advmod obj cc conj case nmod punct root Intelligence NOUN can AUX also ADV mean VERB news NOUN or CCONJ information NOUN about ADP something PRON . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Intelligence intelligence NOUN Number=Sing 4 mean nsubj 2 can can AUX VerbForm=Fin 4 mean aux 3 also also ADV _ 4 mean advmod 4 mean mean VERB VerbForm=Inf root root 5 news news NOUN Number=Sing 4 mean obj 6 or or CCONJ _ 7 information cc 7 information information NOUN Number=Sing 5 news conj 8 about about ADP _ 9 something case 9 something something PRON Number=Sing PronType=Ind 7 information nmod 10 . . PUNCT _ 4 mean punct
# verb tense, mood who what, whom to whom where when other roles by
1 mean can Intelligence news or information about something vn intend-61.2-1 «NP V NP»: agent=Agent news=Topic
Example 1 The Twenty-third Path is the Stable Intelligence, (Sefer Yetzirah, Westcott 1893)
The tree, 12 words det compound punct amod nsubj cop det compound punct punct conj flat punct appos flat punct root The DET Twenty NUM - PUNCT third ADJ Path PROPN is AUX the DET Stable PROPN Intelligence PROPN , PUNCT ( PUNCT Sefer PROPN Yetzirah PROPN , PUNCT Westcott PROPN 1893 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 5 Path det 2 Twenty twenty NUM NumForm=Word NumType=Card 4 third compound 3 - - PUNCT _ 2 Twenty punct 4 third third ADJ Degree=Pos NumForm=Word NumType=Ord 5 Path amod 5 Path Path PROPN Number=Sing 9 Intelligence nsubj 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 Intelligence cop 7 the the DET Definite=Def PronType=Art 9 Intelligence det 8 Stable Stable PROPN Number=Sing 9 Intelligence compound 9 Intelligence Intelligence PROPN Number=Sing root root 10 , , PUNCT _ 12 Sefer punct 11 ( ( PUNCT _ 12 Sefer punct 12 Sefer Sefer PROPN Number=Sing 9 Intelligence conj 13 Yetzirah Yetzirah PROPN Number=Sing 12 Sefer flat 14 , , PUNCT _ 15 Westcott punct 15 Westcott Westcott PROPN Number=Sing 9 Intelligence appos 16 1893 1893 NUM NumForm=Digit NumType=Card 15 Westcott flat 17 ) ) PUNCT _ 15 Westcott punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present the third Path the Stable Intelligence and Sefer tree rules
Example 2 The Thirty-first Path is the Perpetual Intelligence; and why is it so called? (Sefer Yetzirah, Westcott 1887)
Sentence 1: The Thirty-first Path is the Perpetual Intelligence; and why is it so called?
The tree, 14 words det compound punct amod cop det compound nmod punct cc advmod aux:pass nsubj:pass advmod acl punct root The DET Thirty NUM - PUNCT first ADJ Path PROPN is AUX the DET Perpetual PROPN Intelligence PROPN ; PUNCT and CCONJ why ADV is AUX it PRON so ADV called VERB ? PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 5 Path det 2 Thirty thirty NUM NumForm=Word NumType=Card 4 first compound 3 - - PUNCT _ 2 Thirty punct 4 first first ADJ Degree=Pos NumForm=Word NumType=Ord 5 Path amod 5 Path Path PROPN Number=Sing root root 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 Intelligence cop 7 the the DET Definite=Def PronType=Art 9 Intelligence det 8 Perpetual Perpetual PROPN Number=Sing 9 Intelligence compound 9 Intelligence Intelligence PROPN Number=Sing 5 Path nmod 10 ; ; PUNCT _ 16 called punct 11 and and CCONJ _ 16 called cc 12 why why ADV PronType=Int 16 called advmod 13 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 16 called aux:pass 14 it it PRON Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs 16 called nsubj:pass 15 so so ADV _ 16 called advmod 16 called call VERB Tense=Past VerbForm=Part Voice=Pass 5 Path acl 17 ? ? PUNCT _ 16 called punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present the Perpetual Intelligence tree rules 2 call present · passive Intelligence vn initiate_communication-37.4.2-1 «NP V NP.recipient»: subject=Recipient
Sentence 2: (Sefer Yetzirah, Westcott 1887)
punct flat punct conj flat punct root ( PUNCT Sefer PROPN Yetzirah PROPN , PUNCT Westcott PROPN 1887 NUM ) PUNCT 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 _ 5 Westcott punct 5 Westcott Westcott PROPN Number=Sing 2 Sefer conj 6 1887 1887 NUM NumForm=Digit NumType=Card 5 Westcott flat 7 ) ) PUNCT _ 2 Sefer punct
The frames reader finds no event or fact in this sentence.
Example 3 The Thirty-first Path is the Perpetual Intelligence ; but why is it so-called ? (Sefer Yetzirah, Westcott 1893)
Sentence 1: The Thirty-first Path is the Perpetual Intelligence ; but why is it so-called ?
The tree, 14 words det compound punct amod cop det compound nmod punct cc advmod aux:pass nsubj:pass advmod punct acl punct root The DET Thirty NUM - PUNCT first ADJ Path PROPN is AUX the DET Perpetual PROPN Intelligence PROPN ; PUNCT but CCONJ why ADV is AUX it PRON so ADV - PUNCT called VERB ? PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 5 Path det 2 Thirty thirty NUM NumForm=Word NumType=Card 4 first compound 3 - - PUNCT _ 2 Thirty punct 4 first first ADJ Degree=Pos NumForm=Word NumType=Ord 5 Path amod 5 Path Path PROPN Number=Sing root root 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 Intelligence cop 7 the the DET Definite=Def PronType=Art 9 Intelligence det 8 Perpetual Perpetual PROPN Number=Sing 9 Intelligence compound 9 Intelligence Intelligence PROPN Number=Sing 5 Path nmod 10 ; ; PUNCT _ 17 called punct 11 but but CCONJ _ 17 called cc 12 why why ADV PronType=Int 17 called advmod 13 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 17 called aux:pass 14 it it PRON Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs 17 called nsubj:pass 15 so so ADV _ 17 called advmod 16 - - PUNCT _ 15 so punct 17 called call VERB Tense=Past VerbForm=Part Voice=Pass 5 Path acl 18 ? ? PUNCT _ 17 called punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present the Perpetual Intelligence tree rules 2 call present · passive Intelligence vn initiate_communication-37.4.2-1 «NP V NP.recipient»: subject=Recipient
Sentence 2: (Sefer Yetzirah, Westcott 1893)
punct flat punct conj flat punct root ( PUNCT Sefer PROPN Yetzirah PROPN , PUNCT Westcott PROPN 1893 NUM ) PUNCT 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 _ 5 Westcott punct 5 Westcott Westcott PROPN Number=Sing 2 Sefer conj 6 1893 1893 NUM NumForm=Digit NumType=Card 5 Westcott flat 7 ) ) PUNCT _ 2 Sefer punct
The frames reader finds no event or fact in this sentence.
Example 4 A man shall be commended according to his intelligence; but he that is of a distorted understanding shall be despised. (Writings PRO.12.8, JPS 1917)
Sentence 1: A man shall be commended according to his intelligence; but he that is of a distorted understanding shall be despised.
The tree, 20 words det nsubj:pass aux aux:pass case fixed nmod:poss obl:agent punct cc nsubj obj cop case det amod nsubj:pass aux aux:pass conj punct root A DET man NOUN shall AUX be AUX commended VERB according VERB to ADP his PRON intelligence NOUN ; PUNCT but CCONJ he PRON that PRON is AUX of ADP a DET distorted VERB understanding NOUN shall AUX be AUX despised VERB . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 man det 2 man man NOUN Number=Sing 5 commended nsubj:pass 3 shall shall AUX VerbForm=Fin 5 commended aux 4 be be AUX VerbForm=Inf 5 commended aux:pass 5 commended commend VERB Tense=Past VerbForm=Part Voice=Pass root root 6 according accord VERB ExtPos=ADP Tense=Pres VerbForm=Part 9 intelligence case 7 to to ADP _ 6 according fixed 8 his his PRON Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs 9 intelligence nmod:poss 9 intelligence intelligence NOUN Number=Sing 5 commended obl:agent 10 ; ; PUNCT _ 21 despised punct 11 but but CCONJ _ 18 understanding cc 12 he he PRON Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs 18 understanding nsubj 13 that that PRON Number=Sing PronType=Dem 12 he obj 14 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 18 understanding cop 15 of of ADP _ 18 understanding case 16 a a DET Definite=Ind PronType=Art 18 understanding det 17 distorted distort VERB Tense=Past VerbForm=Part Voice=Pass 18 understanding amod 18 understanding understanding NOUN Number=Sing 21 despised nsubj:pass 19 shall shall AUX VerbForm=Fin 21 despised aux 20 be be AUX VerbForm=Inf 21 despised aux:pass 21 despised despise VERB Tense=Past VerbForm=Part Voice=Pass 5 commended conj 22 . . PUNCT _ 5 commended punct
# verb tense, mood who what, whom to whom where when other roles by
1 commend shall · passive man's intelligence a man vn judgment-33.1-1 «NP V NP»: agent=Agent subject=Theme 2 accord gerund vn future_having-13.3 «NP V NP.theme (PP)»: agent=Agent 3 distort participle vn knead-26.5 «NP.material V PP.product»: agent=Material 4 is present man of a distorted understanding tree rules 5 despise shall · passive a distorted understanding vn admire-31.2 «NP V NP»: subject=Stimulus
Sentence 2: (Writings PRO.12.8, JPS 1917)
punct appos punct flat flat punct root ( PUNCT Writings NOUN PRO.12.8 PROPN , PUNCT JPS PROPN 1917 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 2 Writings punct 2 Writings writing NOUN Number=Plur root root 3 PRO.12.8 PRO.12.8 PROPN Number=Sing 2 Writings appos 4 , , PUNCT _ 5 JPS punct 5 JPS JPS PROPN Number=Sing 3 PRO.12.8 flat 6 1917 1917 NUM NumForm=Digit NumType=Card 3 PRO.12.8 flat 7 ) ) PUNCT _ 2 Writings punct
The frames reader finds no event or fact in this sentence.
Example 5 Dolphins are known for their intelligence.
nsubj:pass aux:pass case nmod:poss obl punct root Dolphins NOUN are AUX known VERB for ADP their PRON intelligence NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Dolphins dolphin NOUN Number=Plur 3 known nsubj:pass 2 are be AUX Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 3 known aux:pass 3 known know VERB Tense=Past VerbForm=Part Voice=Pass root root 4 for for ADP _ 6 intelligence case 5 their their PRON Case=Gen Number=Plur Person=3 Poss=Yes PronType=Prs 6 intelligence nmod:poss 6 intelligence intelligence NOUN Number=Sing 3 known obl 7 . . PUNCT _ 3 known punct
# verb tense, mood who what, whom to whom where when other roles by
1 know present · passive Dolphins for Dolphins's intelligence vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: subject=Stimulus
Example 6 Use your intelligence to solve the riddle.
nmod:poss obj mark advcl det obj punct root Use VERB your PRON intelligence NOUN to PART solve VERB the DET riddle NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Use use VERB Mood=Imp VerbForm=Fin root root 2 your your PRON Case=Gen Person=2 Poss=Yes PronType=Prs 3 intelligence nmod:poss 3 intelligence intelligence NOUN Number=Sing 1 Use obj 4 to to PART _ 5 solve mark 5 solve solve VERB VerbForm=Inf 1 Use advcl 6 the the DET Definite=Def PronType=Art 7 riddle det 7 riddle riddle NOUN Number=Sing 5 solve 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 your intelligence vn eat-39.1 «NP V NP»: agent=Agent intelligence=Patient 2 solve to-infinitive you not said here the riddle vn discover-84 «NP V NP»: agent=Agent riddle=Topic
Example 7 Artificial intelligence can help doctors.
amod nsubj aux obj punct root Artificial ADJ intelligence NOUN can AUX help VERB doctors NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Artificial artificial ADJ Degree=Pos 2 intelligence amod 2 intelligence intelligence NOUN Number=Sing 4 help nsubj 3 can can AUX VerbForm=Fin 4 help aux 4 help help VERB VerbForm=Inf root root 5 doctors doctor NOUN Number=Plur 4 help obj 6 . . PUNCT _ 4 help punct
# verb tense, mood who what, whom to whom where when other roles by
1 help can Artificial intelligence doctors vn help-72.1-1-1 «NP V NP»: agent=Agent doctor=Beneficiary
Example 8 The spies gathered intelligence about the plan.
det nsubj obj case det nmod punct root The DET spies NOUN gathered VERB intelligence NOUN about ADP the DET plan NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 spies det 2 spies spy NOUN Number=Plur 3 gathered nsubj 3 gathered gather VERB Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin root root 4 intelligence intelligence NOUN Number=Sing 3 gathered obj 5 about about ADP _ 7 plan case 6 the the DET Definite=Def PronType=Art 7 plan det 7 plan plan NOUN Number=Sing 4 intelligence nmod 8 . . PUNCT _ 3 gathered punct
# verb tense, mood who what, whom to whom where when other roles by
1 gather past the spies intelligence about the plan vn deduce-97.2 «NP V NP»: agent=Agent intelligence=Theme
Example 9 Octopuses show amazing intelligence.
nsubj amod obj punct root Octopuses NOUN show VERB amazing ADJ intelligence NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Octopuses octopus NOUN Number=Plur 2 show nsubj 2 show show VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin root root 3 amazing amazing ADJ Degree=Pos 4 intelligence amod 4 intelligence intelligence NOUN Number=Sing 2 show obj 5 . . PUNCT _ 2 show punct
# verb tense, mood who what, whom to whom where when other roles by
1 show present Octopuses amazing intelligence vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent intelligence=Recipient
Example 10 There are many kinds of intelligence, like music and sport skills.
expl amod nsubj case nmod punct case nmod cc compound conj punct root There PRON are VERB many ADJ kinds NOUN of ADP intelligence NOUN , PUNCT like ADP music NOUN and CCONJ sport NOUN skills NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 There there PRON PronType=Dem 2 are expl 2 are be VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin root root 3 many many ADJ Degree=Pos 4 kinds amod 4 kinds kind NOUN Number=Plur 2 are nsubj 5 of of ADP _ 6 intelligence case 6 intelligence intelligence NOUN Number=Sing 4 kinds nmod 7 , , PUNCT _ 9 music punct 8 like like ADP _ 9 music case 9 music music NOUN Number=Sing 4 kinds nmod 10 and and CCONJ _ 12 skills cc 11 sport sport NOUN Number=Sing 12 skills compound 12 skills skill NOUN Number=Plur 9 music conj 13 . . PUNCT _ 2 are punct
# verb tense, mood who what, whom to whom where when other roles by
1 does present many kinds of intelligence like music and sport skills there vn exist-47.1 «NP V»: agent=Theme
Example 11 Nobody knew; nobody could give any intelligence.
nsubj punct nsubj aux ccomp det obj punct root Nobody PRON knew VERB ; PUNCT nobody PRON could AUX give VERB any DET intelligence NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Nobody nobody PRON Number=Sing PronType=Neg 2 knew nsubj 2 knew know VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 ; ; PUNCT _ 6 give punct 4 nobody nobody PRON Number=Sing PronType=Neg 6 give nsubj 5 could could AUX VerbForm=Fin 6 give aux 6 give give VERB VerbForm=Inf 2 knew ccomp 7 any any DET PronType=Ind 8 intelligence det 8 intelligence intelligence NOUN Number=Sing 6 give obj 9 . . PUNCT _ 2 knew punct
# verb tense, mood who what, whom to whom where when other roles by
1 know past Nobody vn comprehend-87.2-1-1-1 «NP V S_ING»: agent=Experiencer clause=Stimulus 2 give could nobody any intelligence vn give-13.1-1 «NP V NP»: agent=Agent intelligence=Theme
Text: the Judaism 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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