recognition Who acts: Recognition, you, person, something, Face, computer · What happens: know, see, hear, be, do, accept · To what, where: someone, Recognition, Recognition praise, computer, faces, certificate · Speech: someone speaks here
«recognition» in the school dictionary: its 4 meanings for a pupil and its 9 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: recognition in the school dictionary .
Meaning 1 Recognition is knowing someone or something because you have seen or heard it before.
The tree, 14 words nsubj aux obj cc conj mark nsubj aux advcl cc conj obj advmod punct root Recognition NOUN is AUX knowing VERB someone PRON or CCONJ something PRON because SCONJ you PRON have AUX seen VERB or CCONJ heard VERB it PRON before ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Recognition recognition NOUN Number=Sing 3 knowing nsubj 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 knowing aux 3 knowing know VERB Tense=Pres VerbForm=Part root root 4 someone someone PRON Number=Sing PronType=Ind 3 knowing obj 5 or or CCONJ _ 6 something cc 6 something something PRON Number=Sing PronType=Ind 4 someone conj 7 because because SCONJ _ 10 seen mark 8 you you PRON Case=Nom Person=2 PronType=Prs 10 seen nsubj 9 have have AUX Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin 10 seen aux 10 seen see VERB Tense=Past VerbForm=Part 3 knowing advcl 11 or or CCONJ _ 12 heard cc 12 heard hear VERB Mood=Ind Number=Sing Person=2 Tense=Past VerbForm=Fin 10 seen conj 13 it it PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs 12 heard obj 14 before before ADV _ 12 heard advmod 15 . . PUNCT _ 3 knowing punct
# verb tense, mood who what, whom to whom where when other roles by
1 know present · progressive Recognition someone vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer someone=Stimulus 2 see present · perfect you vn comprehend-87.2-1-1 «NP V»: agent=Experiencer 3 hear past you not said here Recognition before property vn see-30.1-1-1 «NP V S»: agent=Experiencer it=Stimulus
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 Recognition is praise or thanks for something good a person has done.
compound cop cc conj case nmod amod det nsubj aux acl:relcl punct root Recognition NOUN is AUX praise NOUN or CCONJ thanks NOUN for ADP something PRON good ADJ a DET person NOUN has AUX done VERB . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Recognition recognition NOUN Number=Sing 3 praise compound 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 praise cop 3 praise praise NOUN Number=Sing root root 4 or or CCONJ _ 5 thanks cc 5 thanks thanks NOUN Number=Sing 3 praise conj 6 for for ADP _ 7 something case 7 something something PRON Number=Sing PronType=Ind 5 thanks nmod 8 good good ADJ Degree=Pos 7 something amod 9 a a DET Definite=Ind PronType=Art 10 person det 10 person person NOUN Number=Sing 12 done nsubj 11 has have AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 12 done aux 12 done do VERB Tense=Past VerbForm=Part 7 something acl:relcl 13 . . PUNCT _ 3 praise punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present Recognition praise or thanks for something tree rules 2 do present · perfect a person vn act-114-1 «NP V»: agent=Agent
Meaning 3 Recognition is accepting that something is true or real.
nsubj aux mark nsubj cop ccomp cc conj punct root Recognition NOUN is AUX accepting VERB that SCONJ something PRON is AUX true ADJ or CCONJ real ADJ . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Recognition recognition NOUN Number=Sing 3 accepting nsubj 2 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 accepting aux 3 accepting accept VERB Tense=Pres VerbForm=Part root root 4 that that SCONJ _ 7 true mark 5 something something PRON Number=Sing PronType=Ind 7 true nsubj 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 7 true cop 7 true true ADJ Degree=Pos 3 accepting ccomp 8 or or CCONJ _ 9 real cc 9 real real ADJ Degree=Pos 7 true conj 10 . . PUNCT _ 3 accepting punct
# verb tense, mood who what, whom to whom where when other roles by
1 accept present · progressive Recognition vn obtain-13.5.2 «NP V NP»: agent=Agent 2 is present something true property tree rules 3 be something not said here tree rules
Meaning 4 Usage: computing — kept apart, not parsed.
Face or voice recognition is a computer identifying faces or voices.
nsubj cc compound conj cop det acl obj cc conj punct root Face NOUN or CCONJ voice NOUN recognition NOUN is AUX a DET computer NOUN identifying VERB faces NOUN or CCONJ voices NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Face face NOUN Number=Sing 7 computer nsubj 2 or or CCONJ _ 4 recognition cc 3 voice voice NOUN Number=Sing 4 recognition compound 4 recognition recognition NOUN Number=Sing 1 Face conj 5 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 7 computer cop 6 a a DET Definite=Ind PronType=Art 7 computer det 7 computer computer NOUN Number=Sing root root 8 identifying identify VERB VerbForm=Ger 7 computer acl 9 faces face NOUN Number=Plur 8 identifying obj 10 or or CCONJ _ 11 voices cc 11 voices voice NOUN Number=Plur 9 faces conj 12 . . PUNCT _ 7 computer punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present Face or voice recognition a computer tree rules 2 identify gerund a computer not said here faces or voices vn characterize-29.2-1-1 «NP V NP S_ING»: agent=Agent face=Theme
Example 1 She got a certificate in recognition of her hard work.
nsubj det obj case obl case nmod:poss amod nmod punct root She PRON got VERB a DET certificate NOUN in ADP recognition NOUN of ADP her PRON hard ADJ work NOUN . 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 got nsubj 2 got get VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 a a DET Definite=Ind PronType=Art 4 certificate det 4 certificate certificate NOUN Number=Sing 2 got obj 5 in in ADP _ 6 recognition case 6 recognition recognition NOUN Number=Sing 2 got obl 7 of of ADP _ 10 work case 8 her her PRON Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs 10 work nmod:poss 9 hard hard ADJ Degree=Pos 10 work amod 10 work work NOUN Number=Sing 6 recognition nmod 11 . . PUNCT _ 2 got punct
# verb tense, mood who what, whom to whom where when other roles by
1 get past She a certificate recognition of her hard work vn comprehend-87.2-1 «NP V NP»: agent=Experiencer certificate=Stimulus 2 recognize her hard work nom recognition «state transitive»: of=patient 3 work her = she nom work «act intransitive»: poss=agent
Example 2 The town had changed beyond recognition.
det nsubj aux case obl punct root The DET town NOUN had AUX changed VERB beyond ADP recognition NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 town det 2 town town NOUN Number=Sing 4 changed nsubj 3 had have AUX Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 4 changed aux 4 changed change VERB Tense=Past VerbForm=Part root root 5 beyond beyond ADP _ 6 recognition case 6 recognition recognition NOUN Number=Sing 4 changed obl 7 . . PUNCT _ 4 changed punct
# verb tense, mood who what, whom to whom where when other roles by
1 change past · perfect the town beyond recognition vn dress-41.1.1-1-1 «NP V»: agent=Agent
Example 3 A look of recognition crossed his face.
det nsubj case nmod nmod:poss obj punct root A DET look NOUN of ADP recognition NOUN crossed VERB his PRON face NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 look det 2 look look NOUN Number=Sing 5 crossed nsubj 3 of of ADP _ 4 recognition case 4 recognition recognition NOUN Number=Sing 2 look nmod 5 crossed cross VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 6 his his PRON Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs 7 face nmod:poss 7 face face NOUN Number=Sing 5 crossed obj 8 . . PUNCT _ 5 crossed punct
# verb tense, mood who what, whom to whom where when other roles by
1 cross past a look of recognition look's face vn crane-40.3.2 «NP V NP»: agent=Agent face=Patient
Example 4 My phone uses face recognition.
nmod:poss nsubj compound obj punct root My PRON phone NOUN uses VERB face NOUN recognition 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 phone nmod:poss 2 phone phone NOUN Number=Sing 3 uses nsubj 3 uses use VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 face face NOUN Number=Sing 5 recognition compound 5 recognition recognition NOUN Number=Sing 3 uses obj 6 . . PUNCT _ 3 uses punct
# verb tense, mood who what, whom to whom where when other roles by
1 use present My phone face recognition vn eat-39.1 «NP V NP»: agent=Agent recognition=Patient
Example 5 Speech recognition turns your voice into text.
compound nsubj nmod:poss obj case obl punct root Speech NOUN recognition NOUN turns VERB your PRON voice NOUN into ADP text NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Speech speech NOUN Number=Sing 2 recognition compound 2 recognition recognition NOUN Number=Sing 3 turns nsubj 3 turns turn VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 your your PRON Case=Gen Person=2 Poss=Yes PronType=Prs 5 voice nmod:poss 5 voice voice NOUN Number=Sing 3 turns obj 6 into into ADP _ 7 text case 7 text text NOUN Number=Sing 3 turns obl 8 . . PUNCT _ 3 turns punct
# verb tense, mood who what, whom to whom where when other roles by
1 turn present Speech recognition your voice text vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent voice=Theme into text=Trajectory
Example 6 The volunteers deserve recognition.
det nsubj obj punct root The DET volunteers NOUN deserve VERB recognition NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 volunteers det 2 volunteers volunteer NOUN Number=Plur 3 deserve nsubj 3 deserve deserve VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin root root 4 recognition recognition NOUN Number=Sing 3 deserve obj 5 . . PUNCT _ 3 deserve punct
# verb tense, mood who what, whom to whom where when other roles by
1 deserve present the volunteers recognition tree rules
Example 7 There was no sign of recognition in the dog's eyes.
expl det nsubj case nmod case det nmod:poss case nmod punct root There PRON was VERB no DET sign NOUN of ADP recognition NOUN in ADP the DET dog NOUN 's PART eyes NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 There there PRON PronType=Dem 2 was expl 2 was be VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 no no DET PronType=Neg 4 sign det 4 sign sign NOUN Number=Sing 2 was nsubj 5 of of ADP _ 6 recognition case 6 recognition recognition NOUN Number=Sing 4 sign nmod 7 in in ADP _ 11 eyes case 8 the the DET Definite=Def PronType=Art 9 dog det 9 dog dog NOUN Number=Sing 11 eyes nmod:poss 10 's 's PART _ 9 dog case 11 eyes eye NOUN Number=Plur 6 recognition nmod 12 . . PUNCT _ 2 was punct
# verb tense, mood who what, whom to whom where when other roles by
1 be past no sign of recognition in the dog's eyes there vn exist-47.1 «NP V»: agent=Theme 2 sign recognition in the dog's eyes nom sign «communication transitive»: of=patient
Example 8 The book brought her worldwide recognition.
det nsubj obj amod obj punct root The DET book NOUN brought VERB her PRON worldwide ADJ recognition NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 book det 2 book book NOUN Number=Sing 3 brought nsubj 3 brought bring VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 4 her she PRON Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs 3 brought obj 5 worldwide worldwide ADJ Degree=Pos 6 recognition amod 6 recognition recognition NOUN Number=Sing 3 brought obj 7 . . PUNCT _ 3 brought punct
# verb tense, mood who what, whom to whom where when other roles by
1 bring past the book worldwide recognition her = she vn bring-11.3-1 «NP V NP NP»: agent=Agent she=Destination recognition=Theme
Example 9 She saw recognition come into his eyes as he was about to pass them the time of day and go on; once even she had to call him by name.
The tree, 30 words nsubj nsubj ccomp case nmod:poss obl mark nsubj cop advcl mark xcomp obj det obj case nmod cc conj advmod punct advmod advmod nsubj conj mark xcomp obj case obl punct root She PRON saw VERB recognition NOUN come VERB into ADP his PRON eyes NOUN as SCONJ he PRON was AUX about ADJ to PART pass VERB them PRON the DET time NOUN of ADP day NOUN and CCONJ go VERB on ADV ; PUNCT once ADV even ADV she PRON had VERB to PART call VERB him PRON by ADP name NOUN . 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 saw nsubj 2 saw see VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 recognition recognition NOUN Number=Sing 4 come nsubj 4 come come VERB Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin 2 saw ccomp 5 into into ADP _ 7 eyes case 6 his his PRON Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs 7 eyes nmod:poss 7 eyes eye NOUN Number=Plur 4 come obl 8 as as SCONJ _ 11 about mark 9 he he PRON Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs 11 about nsubj 10 was be AUX Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 11 about cop 11 about about ADJ Degree=Pos 4 come advcl 12 to to PART _ 13 pass mark 13 pass pass VERB VerbForm=Inf 11 about xcomp 14 them they PRON Case=Acc Number=Plur Person=3 PronType=Prs 13 pass obj 15 the the DET Definite=Def PronType=Art 16 time det 16 time time NOUN Number=Sing 13 pass obj 17 of of ADP _ 18 day case 18 day day NOUN Number=Sing 16 time nmod 19 and and CCONJ _ 20 go cc 20 go go VERB VerbForm=Inf 13 pass conj 21 on on ADV _ 20 go advmod 22 ; ; PUNCT _ 26 had punct 23 once once ADV NumForm=Word NumType=Mult 26 had advmod 24 even even ADV _ 26 had advmod 25 she she PRON Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs 26 had nsubj 26 had have VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 2 saw conj 27 to to PART _ 28 call mark 28 call call VERB VerbForm=Inf 26 had xcomp 29 him he PRON Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs 28 call obj 30 by by ADP _ 31 name case 31 name name NOUN Number=Sing 28 call obl 32 . . PUNCT _ 2 saw punct
# verb tense, mood who what, whom to whom where when other roles by
1 see past She vn comprehend-87.2-1-1 «NP V S_ING»: agent=Experiencer clause=Stimulus 2 come present recognition recognition's eyes vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme into eye=Initial_Location 3 is past recognition about property tree rules 4 pass to-infinitive recognition not said here eyes = eye time vn escape-51.1-1-3 «NP V NP»: agent=Theme they=Trajectory 5 go on infinitive recognition not said here vn function-105.2.1 «NP V»: agent=Theme 6 have past she once property tree rules 7 call to-infinitive she not said here recognition by name vn initiate_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent he=Recipient
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.
← previous recognisenext → recognize↑ back to R in school dictionary This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/R/recognition/