intelligent Who acts: Crows, intelligent birds, That, dog, Scientists, you · What happens: learn, understand, think, show, act, be · To what, where: good thinking, smart way, intelligent birds, tools, intelligent question, gate
«intelligent» in the school dictionary: its 3 meanings for a pupil and its 8 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: intelligent in the school dictionary .
Meaning 1 Able to learn, understand and think well and quickly.
mark xcomp punct conj cc conj advmod cc conj punct root Able ADJ to PART learn VERB , PUNCT understand VERB and CCONJ think VERB well ADV and CCONJ quickly ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Able able ADJ Degree=Pos root root 2 to to PART _ 3 learn mark 3 learn learn VERB VerbForm=Inf 1 Able xcomp 4 , , PUNCT _ 5 understand punct 5 understand understand VERB VerbForm=Inf 3 learn conj 6 and and CCONJ _ 7 think cc 7 think think VERB VerbForm=Inf 3 learn conj 8 well well ADV Degree=Pos 7 think advmod 9 and and CCONJ _ 10 quickly cc 10 quickly quickly ADV _ 8 well conj 11 . . PUNCT _ 1 Able punct
# verb tense, mood who what, whom to whom where when other roles by
1 learn to-infinitive vn learn-14-1 «NP V»: agent=Agent 2 understand infinitive vn comprehend-87.2-1-1-1 «NP V»: agent=Experiencer 3 think speech: other infinitive well 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 Showing good thinking (an intelligent answer, an intelligent choice).
amod obj punct det amod appos punct det amod appos punct punct root Showing VERB good ADJ thinking NOUN ( PUNCT an DET intelligent ADJ answer NOUN , PUNCT an DET intelligent ADJ choice NOUN ) PUNCT . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Showing show VERB Tense=Pres VerbForm=Part root root 2 good good ADJ Degree=Pos 3 thinking amod 3 thinking thinking NOUN Number=Sing 1 Showing obj 4 ( ( PUNCT _ 7 answer punct 5 an a DET Definite=Ind PronType=Art 7 answer det 6 intelligent intelligent ADJ Degree=Pos 7 answer amod 7 answer answer NOUN Number=Sing 3 thinking appos 8 , , PUNCT _ 11 choice punct 9 an a DET Definite=Ind PronType=Art 11 choice det 10 intelligent intelligent ADJ Degree=Pos 11 choice amod 11 choice choice NOUN Number=Sing 7 answer appos 12 ) ) PUNCT _ 7 answer punct 13 . . PUNCT _ 1 Showing punct
# verb tense, mood who what, whom to whom where when other roles by
1 show gerund good thinking vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent thinking=Recipient
Meaning 3 Of a machine or system: able to act in a smart way (intelligent software).
The tree, 14 words case det obl cc conj punct mark xcomp case det amod obl punct amod appos punct punct root Of ADP a DET machine NOUN or CCONJ system NOUN : PUNCT able ADJ to PART act VERB in ADP a DET smart ADJ way NOUN ( PUNCT intelligent ADJ software NOUN ) PUNCT . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Of of ADP _ 3 machine case 2 a a DET Definite=Ind PronType=Art 3 machine det 3 machine machine NOUN Number=Sing 7 able obl 4 or or CCONJ _ 5 system cc 5 system system NOUN Number=Sing 3 machine conj 6 : : PUNCT _ 7 able punct 7 able able ADJ Degree=Pos root root 8 to to PART _ 9 act mark 9 act act VERB VerbForm=Inf 7 able xcomp 10 in in ADP _ 13 way case 11 a a DET Definite=Ind PronType=Art 13 way det 12 smart smart ADJ Degree=Pos 13 way amod 13 way way NOUN Number=Sing 9 act obl 14 ( ( PUNCT _ 16 software punct 15 intelligent intelligent ADJ Degree=Pos 16 software amod 16 software software NOUN Number=Sing 13 way appos 17 ) ) PUNCT _ 16 software punct 18 . . PUNCT _ 7 able punct
# verb tense, mood who what, whom to whom where when other roles by
1 act to-infinitive a smart way vn act-114-1-1 «NP V»: agent=Agent
Example 1 Crows are intelligent birds that can use tools.
nsubj cop amod nsubj aux acl:relcl obj punct root Crows NOUN are AUX intelligent ADJ birds NOUN that PRON can AUX use VERB tools NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Crows crow NOUN Number=Plur 4 birds nsubj 2 are be AUX Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 4 birds cop 3 intelligent intelligent ADJ Degree=Pos 4 birds amod 4 birds bird NOUN Number=Plur root root 5 that that PRON PronType=Rel 7 use nsubj 6 can can AUX VerbForm=Fin 7 use aux 7 use use VERB VerbForm=Inf 4 birds acl:relcl 8 tools tool NOUN Number=Plur 7 use obj 9 . . PUNCT _ 4 birds punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present Crows intelligent birds tree rules 2 use can intelligent birds tools vn eat-39.1 «NP V NP»: agent=Agent tool=Patient
Example 2 That was an intelligent question, Maya.
nsubj cop det amod punct appos punct root That PRON was AUX an DET intelligent ADJ question NOUN , PUNCT Maya PROPN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 That that PRON Number=Sing PronType=Dem 5 question nsubj 2 was be AUX Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 5 question cop 3 an a DET Definite=Ind PronType=Art 5 question det 4 intelligent intelligent ADJ Degree=Pos 5 question amod 5 question question NOUN Number=Sing root root 6 , , PUNCT _ 7 Maya punct 7 Maya Maya PROPN Number=Sing 5 question appos 8 . . PUNCT _ 5 question punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a past That a intelligent question tree rules
Example 3 My dog is so intelligent she can open the gate.
nmod:poss nsubj cop advmod nsubj aux parataxis det obj punct root My PRON dog NOUN is AUX so ADV intelligent ADJ she PRON can AUX open VERB the DET gate NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 My my PRON Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs 2 dog nmod:poss 2 dog dog NOUN Number=Sing 5 intelligent nsubj 3 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 5 intelligent cop 4 so so ADV _ 5 intelligent advmod 5 intelligent intelligent ADJ Degree=Pos root root 6 she she PRON Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs 8 open nsubj 7 can can AUX VerbForm=Fin 8 open aux 8 open open VERB VerbForm=Inf 5 intelligent parataxis 9 the the DET Definite=Def PronType=Art 10 gate det 10 gate gate NOUN Number=Sing 8 open obj 11 . . PUNCT _ 5 intelligent punct
# verb tense, mood who what, whom to whom where when other roles by
1 is present My dog intelligent property tree rules 2 open can dog the gate vn spatial_configuration-47.6-1 «PP.location V NP»: agent=Location gate=Theme
Example 4 Scientists search for intelligent life in space.
nsubj case amod obl case obl punct root Scientists NOUN search VERB for ADP intelligent ADJ life NOUN in ADP space NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Scientists scientist NOUN Number=Plur 2 search nsubj 2 search search VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin root root 3 for for ADP _ 5 life case 4 intelligent intelligent ADJ Degree=Pos 5 life amod 5 life life NOUN Number=Sing 2 search obl 6 in in ADP _ 7 space case 7 space space NOUN Number=Sing 2 search obl 8 . . PUNCT _ 2 search punct
# verb tense, mood who what, whom to whom where when other roles by
1 search present Scientists space for intelligent life vn search-35.2 «NP V PP.theme NP.location»: agent=Agent for life=Theme in space=Location
Example 5 Make an intelligent choice and wear a helmet.
det amod obj cc conj det obj punct root Make VERB an DET intelligent ADJ choice NOUN and CCONJ wear VERB a DET helmet NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Make make VERB Mood=Imp VerbForm=Fin root root 2 an a DET Definite=Ind PronType=Art 4 choice det 3 intelligent intelligent ADJ Degree=Pos 4 choice amod 4 choice choice NOUN Number=Sing 1 Make obj 5 and and CCONJ _ 6 wear cc 6 wear wear VERB Mood=Imp VerbForm=Fin 1 Make conj 7 a a DET Definite=Ind PronType=Art 8 helmet det 8 helmet helmet NOUN Number=Sing 6 wear obj 9 . . PUNCT _ 1 Make punct
# verb tense, mood who what, whom to whom where when other roles by
1 make imperative you not said here a intelligent choice vn build-26.1-1 «NP.asset V NP»: agent=Asset choice=Product 2 wear infinitive you not said here a helmet vn wipe_manner-10.4.1-1 «NP V NP.theme»: agent=Agent helmet=Theme
Example 6 Being intelligent is not the same as being kind.
cop csubj cop advmod det mark cop advcl punct root Being AUX intelligent ADJ is AUX not PART the DET same ADJ as SCONJ being AUX kind ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Being be AUX Tense=Pres VerbForm=Part 2 intelligent cop 2 intelligent intelligent ADJ Degree=Pos 6 same csubj 3 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 6 same cop 4 not not PART Polarity=Neg 6 same advmod 5 the the DET Definite=Def PronType=Art 6 same det 6 same same ADJ Degree=Pos root root 7 as as SCONJ _ 9 kind mark 8 being be AUX Tense=Pres VerbForm=Part 9 kind cop 9 kind kind ADJ Degree=Pos 6 same advcl 10 . . PUNCT _ 6 same punct
# verb tense, mood who what, whom to whom where when other roles by
1 is gerund intelligent property tree rules 2 not is present same property tree rules 3 is gerund kind property tree rules
Example 7 The robot uses intelligent software to avoid walls.
det nsubj amod obj mark advcl obj punct root The DET robot NOUN uses VERB intelligent ADJ software NOUN to PART avoid VERB walls NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 robot det 2 robot robot NOUN Number=Sing 3 uses nsubj 3 uses use VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 intelligent intelligent ADJ Degree=Pos 5 software amod 5 software software NOUN Number=Sing 3 uses obj 6 to to PART _ 7 avoid mark 7 avoid avoid VERB VerbForm=Inf 3 uses advcl 8 walls wall NOUN Number=Plur 7 avoid obj 9 . . PUNCT _ 3 uses punct
# verb tense, mood who what, whom to whom where when other roles by
1 use present the robot intelligent software vn eat-39.1 «NP V NP»: agent=Agent software=Patient 2 avoid to-infinitive the robot not said here walls vn avoid-52 «NP V NP.location»: agent=Agent wall=Location
Example 8 ‘Do not fear,’ he answered; ‘she is too clever and intelligent to lose her way.
The tree, 15 words punct aux advmod punct punct nsubj parataxis punct punct nsubj cop advmod conj cc conj mark xcomp nmod:poss obj punct root ‘ PUNCT Do AUX not PART fear VERB , PUNCT ’ PUNCT he PRON answered VERB ; PUNCT ‘ PUNCT she PRON is AUX too ADV clever ADJ and CCONJ intelligent ADJ to PART lose VERB her PRON way NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ‘ ' PUNCT _ 4 fear punct 2 Do do AUX Mood=Imp VerbForm=Fin 4 fear aux 3 not not PART Polarity=Neg 4 fear advmod 4 fear fear VERB Mood=Imp VerbForm=Fin root root 5 , , PUNCT _ 4 fear punct 6 ’ ' PUNCT _ 4 fear punct 7 he he PRON Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs 8 answered nsubj 8 answered answer VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 4 fear parataxis 9 ; ; PUNCT _ 14 clever punct 10 ‘ ' PUNCT _ 14 clever punct 11 she she PRON Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs 14 clever nsubj 12 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 14 clever cop 13 too too ADV _ 14 clever advmod 14 clever clever ADJ Degree=Pos 4 fear conj 15 and and CCONJ _ 16 intelligent cc 16 intelligent intelligent ADJ Degree=Pos 14 clever conj 17 to to PART _ 18 lose mark 18 lose lose VERB VerbForm=Inf 16 intelligent xcomp 19 her her PRON Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs 20 way nmod:poss 20 way way NOUN Number=Sing 18 lose obj 21 . . PUNCT _ 4 fear punct
# verb tense, mood who what, whom to whom where when other roles by
1 not fear imperative · do-support you not said here vn marvel-31.3 «NP V»: agent=Experiencer 2 answer speech: assert past he vn reciprocate-112-1 «NP V»: agent=Agent 3 is present she clever property tree rules 4 be she not said here tree rules 5 lose to-infinitive she not said here her way vn succeed-74-3-1 «NP V NP»: agent=Agent way=Eventuality
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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