token Who acts: token, you, program, that, interpretation, ordinary token prediction · What happens: be, use, exchange, mean, do, read · To what, where: round piece, metal, card, voucher, sign, small · Speech: someone speaks here
«token» in the mysticism dictionary: its 5 meanings for a pupil and its 13 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: token in the mysticism dictionary .
Meaning 1 A token is a round piece of metal or plastic used instead of a coin, for example in games or machines.
The tree, 21 words det nsubj cop det amod case nmod cc conj acl case fixed det obl punct case parataxis case nmod cc conj punct root A DET token NOUN is AUX a DET round ADJ piece NOUN of ADP metal NOUN or CCONJ plastic NOUN used VERB instead ADV of ADP a DET coin NOUN , PUNCT for ADP example NOUN in ADP games NOUN or CCONJ machines NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 token det 2 token token NOUN Number=Sing 6 piece nsubj 3 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 6 piece cop 4 a a DET Definite=Ind PronType=Art 6 piece det 5 round round ADJ Degree=Pos 6 piece amod 6 piece piece NOUN Number=Sing root root 7 of of ADP _ 8 metal case 8 metal metal NOUN Number=Sing 6 piece nmod 9 or or CCONJ _ 10 plastic cc 10 plastic plastic NOUN Number=Sing 8 metal conj 11 used use VERB Tense=Past VerbForm=Part Voice=Pass 8 metal acl 12 instead instead ADV ExtPos=ADP 15 coin case 13 of of ADP _ 12 instead fixed 14 a a DET Definite=Ind PronType=Art 15 coin det 15 coin coin NOUN Number=Sing 11 used obl 16 , , PUNCT _ 18 example punct 17 for for ADP _ 18 example case 18 example example NOUN Number=Sing 6 piece parataxis 19 in in ADP _ 20 games case 20 games game NOUN Number=Plur 18 example nmod 21 or or CCONJ _ 22 machines cc 22 machines machine NOUN Number=Plur 20 games conj 23 . . PUNCT _ 6 piece punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present a token a round piece of metal or plastic tree rules 2 use participle metal or plastic not said here instead a coin vn eat-39.1 «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 A token is a card or voucher that you can exchange for goods: a book token (UK).
The tree, 17 words det nsubj cop det cc conj mark nsubj aux acl case obl punct det compound conj punct appos punct punct root A DET token NOUN is AUX a DET card NOUN or CCONJ voucher NOUN that SCONJ you PRON can AUX exchange VERB for ADP goods NOUN : PUNCT a DET book NOUN token NOUN ( PUNCT UK PROPN ) PUNCT . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 token det 2 token token NOUN Number=Sing 5 card nsubj 3 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 5 card cop 4 a a DET Definite=Ind PronType=Art 5 card det 5 card card NOUN Number=Sing root root 6 or or CCONJ _ 7 voucher cc 7 voucher voucher NOUN Number=Sing 5 card conj 8 that that SCONJ _ 11 exchange mark 9 you you PRON Case=Nom Person=2 PronType=Prs 11 exchange nsubj 10 can can AUX VerbForm=Fin 11 exchange aux 11 exchange exchange VERB VerbForm=Inf 7 voucher acl 12 for for ADP _ 13 goods case 13 goods goods NOUN Number=Ptan 11 exchange obl 14 : : PUNCT _ 17 token punct 15 a a DET Definite=Ind PronType=Art 17 token det 16 book book NOUN Number=Sing 17 token compound 17 token token NOUN Number=Sing 5 card conj 18 ( ( PUNCT _ 19 UK punct 19 UK UK PROPN Number=Sing 17 token appos 20 ) ) PUNCT _ 19 UK punct 21 . . PUNCT _ 5 card punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present a token a card or voucher and a book token tree rules 2 exchange can you voucher not said here for goods vn exchange-13.6.1 «NP V NP PP.co-theme»: agent=Agent voucher=Theme for goods=Co-Theme
Meaning 3 A token of something is a sign or symbol of a feeling: a token of thanks.
The tree, 16 words det nsubj case nmod cop det cc conj case det nmod punct det conj case nmod punct root A DET token NOUN of ADP something PRON is AUX a DET sign NOUN or CCONJ symbol NOUN of ADP a DET feeling NOUN : PUNCT a DET token NOUN of ADP thanks NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 token det 2 token token NOUN Number=Sing 7 sign nsubj 3 of of ADP _ 4 something case 4 something something PRON Number=Sing PronType=Ind 2 token nmod 5 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 7 sign cop 6 a a DET Definite=Ind PronType=Art 7 sign det 7 sign sign NOUN Number=Sing root root 8 or or CCONJ _ 9 symbol cc 9 symbol symbol NOUN Number=Sing 7 sign conj 10 of of ADP _ 12 feeling case 11 a a DET Definite=Ind PronType=Art 12 feeling det 12 feeling feeling NOUN Number=Sing 9 symbol nmod 13 : : PUNCT _ 15 token punct 14 a a DET Definite=Ind PronType=Art 15 token det 15 token token NOUN Number=Sing 7 sign conj 16 of of ADP _ 17 thanks case 17 thanks thanks NOUN Number=Sing 15 token nmod 18 . . PUNCT _ 7 sign punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present a token of something a sign or symbol of a feeling and a token of thanks tree rules
Meaning 4 As an adjective, token means small and done only for show: a token effort.
The tree, 14 words case det obl punct nsubj obj cc conj advmod case obl punct det amod conj punct root As ADP an DET adjective NOUN , PUNCT token NOUN means VERB small ADJ and CCONJ done VERB only ADV for ADP show NOUN : PUNCT a DET token ADJ effort NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 As as ADP _ 3 adjective case 2 an a DET Definite=Ind PronType=Art 3 adjective det 3 adjective adjective NOUN Number=Sing 6 means obl 4 , , PUNCT _ 3 adjective punct 5 token token NOUN Number=Sing 6 means nsubj 6 means mean VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 7 small small ADJ Degree=Pos 6 means obj 8 and and CCONJ _ 9 done cc 9 done do VERB Tense=Past VerbForm=Part Voice=Pass 7 small conj 10 only only ADV _ 12 show advmod 11 for for ADP _ 12 show case 12 show show NOUN Number=Sing 9 done obl 13 : : PUNCT _ 16 effort punct 14 a a DET Definite=Ind PronType=Art 16 effort det 15 token token ADJ Degree=Pos 16 effort amod 16 effort effort NOUN Number=Sing 6 means conj 17 . . PUNCT _ 6 means punct
# verb tense, mood who what, whom to whom where when other roles by
1 mean present token small as a adjective vn intend-61.2-1 «NP V NP PP.attribute»: agent=Agent small=Topic as adjective=Attribute 2 do participle token not said here for show vn act-114-1 «NP V»: agent=Agent
Meaning 5 Usage: computers — kept apart, not parsed.
A token is a piece of text or a code that a program reads or that proves who you are.
The tree, 20 words det nsubj cop det case nmod cc det conj obj det nsubj acl:relcl cc nsubj conj ccomp nsubj cop punct root A DET token NOUN is AUX a DET piece NOUN of ADP text NOUN or CCONJ a DET code NOUN that PRON a DET program NOUN reads VERB or CCONJ that PRON proves VERB who PRON you PRON are AUX . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 token det 2 token token NOUN Number=Sing 5 piece nsubj 3 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 5 piece cop 4 a a DET Definite=Ind PronType=Art 5 piece det 5 piece piece NOUN Number=Sing root root 6 of of ADP _ 7 text case 7 text text NOUN Number=Sing 5 piece nmod 8 or or CCONJ _ 10 code cc 9 a a DET Definite=Ind PronType=Art 10 code det 10 code code NOUN Number=Sing 5 piece conj 11 that that PRON PronType=Rel 14 reads obj 12 a a DET Definite=Ind PronType=Art 13 program det 13 program program NOUN Number=Sing 14 reads nsubj 14 reads read VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 10 code acl:relcl 15 or or CCONJ _ 17 proves cc 16 that that PRON PronType=Rel 17 proves nsubj 17 proves prove VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 14 reads conj 18 who who PRON PronType=Int 17 proves ccomp 19 you you PRON Case=Nom Person=2 PronType=Prs 18 who nsubj 20 are be AUX Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin 18 who cop 21 . . PUNCT _ 5 piece punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a present a token a piece or a code of text tree rules 2 read present a program a code vn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent that=Topic 3 prove present that vn declare-29.4-1-1 «NP V what S_INF»: agent=Agent 4 is a present you tree rules
Example 1 If that interpretation is the densest region of the learned distribution, ordinary next-token prediction already gives it an advantage. (note 03)
Sentence 1: If that interpretation is the densest region of the learned distribution, ordinary next-token prediction already gives it an advantage.
The tree, 20 words mark det nsubj cop det amod advcl case det amod nmod punct amod amod punct amod nsubj advmod iobj det obj punct root If SCONJ that DET interpretation NOUN is AUX the DET densest ADJ region NOUN of ADP the DET learned VERB distribution NOUN , PUNCT ordinary ADJ next ADJ - PUNCT token ADJ prediction NOUN already ADV gives VERB it PRON an DET advantage NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 If if SCONJ _ 7 region mark 2 that that DET Number=Sing PronType=Dem 3 interpretation det 3 interpretation interpretation NOUN Number=Sing 7 region nsubj 4 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 7 region cop 5 the the DET Definite=Def PronType=Art 7 region det 6 densest dense ADJ Degree=Sup 7 region amod 7 region region NOUN Number=Sing 19 gives advcl 8 of of ADP _ 11 distribution case 9 the the DET Definite=Def PronType=Art 11 distribution det 10 learned learn VERB Tense=Past VerbForm=Part Voice=Pass 11 distribution amod 11 distribution distribution NOUN Number=Sing 7 region nmod 12 , , PUNCT _ 7 region punct 13 ordinary ordinary ADJ Degree=Pos 17 prediction amod 14 next next ADJ Degree=Pos 16 token amod 15 - - PUNCT _ 14 next punct 16 token token ADJ Degree=Pos 17 prediction amod 17 prediction prediction NOUN Number=Sing 19 gives nsubj 18 already already ADV _ 19 gives advmod 19 gives give VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 20 it it PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs 19 gives iobj 21 an a DET Definite=Ind PronType=Art 22 advantage det 22 advantage advantage NOUN Number=Sing 19 gives obj 23 . . PUNCT _ 19 gives punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a a condition, not said to happen present that interpretation the densest region of the learned distribution tree rules 2 learn participle vn learn-14-1 «NP V»: agent=Agent 3 give present ordinary token prediction a advantage interpretation vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent it=Recipient advantage=Theme
Sentence 2: (note 03)
punct flat punct root ( PUNCT note NOUN 03 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 2 note punct 2 note note NOUN Number=Sing root root 3 03 03 NUM ExtPos=PROPN NumForm=Digit NumType=Card 2 note flat 4 ) ) PUNCT _ 2 note punct
The frames reader finds no event or fact in this sentence.
Example 2 Characters into tokens, tokens into words, every word separated from its neighbours and laid out in a row. (note 14)
Sentence 1: Characters into tokens, tokens into words, every word separated from its neighbours and laid out in a row.
The tree, 18 words case nmod punct conj case nmod punct det conj acl case nmod:poss obl cc conj compound:prt case det obl punct root Characters NOUN into ADP tokens NOUN , PUNCT tokens NOUN into ADP words NOUN , PUNCT every DET word NOUN separated VERB from ADP its PRON neighbours NOUN and CCONJ laid VERB out ADP in ADP a DET row NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Characters character NOUN Number=Plur root root 2 into into ADP _ 3 tokens case 3 tokens token NOUN Number=Plur 1 Characters nmod 4 , , PUNCT _ 5 tokens punct 5 tokens token NOUN Number=Plur 1 Characters conj 6 into into ADP _ 7 words case 7 words word NOUN Number=Plur 5 tokens nmod 8 , , PUNCT _ 10 word punct 9 every every DET PronType=Tot 10 word det 10 word word NOUN Number=Sing 1 Characters conj 11 separated separate VERB Tense=Past VerbForm=Part Voice=Pass 10 word acl 12 from from ADP _ 14 neighbours case 13 its its PRON Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs 14 neighbours nmod:poss 14 neighbours neighbour NOUN Number=Plur 11 separated obl 15 and and CCONJ _ 16 laid cc 16 laid lay VERB Tense=Past VerbForm=Part Voice=Pass 11 separated conj 17 out out ADP _ 16 laid compound:prt 18 in in ADP _ 20 row case 19 a a DET Definite=Ind PronType=Art 20 row det 20 row row NOUN Number=Sing 16 laid obl 21 . . PUNCT _ 1 Characters punct
# verb tense, mood who what, whom to whom where when other roles by
1 separate participle every word not said here from its neighbours vn separate-23.1-1-1 «NP V ADVP-Middle PP»: agent=Patient from neighbour=Co-Patient 2 lay out participle a row vn put_spatial-9.2 «NP V NP PP.destination»: agent=Agent in row=Destination
Sentence 2: (note 14)
punct flat punct root ( PUNCT note NOUN 14 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 2 note punct 2 note note NOUN Number=Sing root root 3 14 14 NUM NumForm=Digit NumType=Card 2 note flat 4 ) ) PUNCT _ 2 note punct
The frames reader finds no event or fact in this sentence.
Example 3 A token knows itself. (note 15)
Sentence 1: A token knows itself.
det nsubj obj punct root A DET token NOUN knows VERB itself PRON . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 A a DET Definite=Ind PronType=Art 2 token det 2 token token NOUN Number=Sing 3 knows nsubj 3 knows know VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 itself itself PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs Reflex=Yes 3 knows obj 5 . . PUNCT _ 3 knows punct
# verb tense, mood who what, whom to whom where when other roles by
1 know present a token token vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer itself=Stimulus
Sentence 2: (note 15)
punct flat punct root ( PUNCT note NOUN 15 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 2 note punct 2 note note NOUN Number=Sing root root 3 15 15 NUM NumForm=Digit NumType=Card 2 note flat 4 ) ) PUNCT _ 2 note punct
The frames reader finds no event or fact in this sentence.
Example 4 In the note, no explicit rule is needed: if an interpretation is the densest region, ordinary next-token prediction already gives it an advantage, and preference training can reinforce it. (lesson 005)
Sentence 1: In the note, no explicit rule is needed: if an interpretation is the densest region, ordinary next-token prediction already gives it an advantage, and preference training can reinforce it.
The tree, 30 words case det obl punct det compound nsubj:pass aux:pass punct mark det nsubj cop det amod obl punct amod amod punct amod nsubj advmod acl:relcl obj det obj punct cc compound nsubj aux conj obj punct root In ADP the DET note NOUN , PUNCT no DET explicit NOUN rule NOUN is AUX needed VERB : PUNCT if SCONJ an DET interpretation NOUN is AUX the DET densest ADJ region NOUN , PUNCT ordinary ADJ next ADJ - PUNCT token ADJ prediction NOUN already ADV gives VERB it PRON an DET advantage NOUN , PUNCT and CCONJ preference NOUN training NOUN can AUX reinforce VERB it PRON . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 In in ADP _ 3 note case 2 the the DET Definite=Def PronType=Art 3 note det 3 note note NOUN Number=Sing 9 needed obl 4 , , PUNCT _ 3 note punct 5 no no DET PronType=Neg 7 rule det 6 explicit explicit NOUN Number=Sing 7 rule compound 7 rule rule NOUN Number=Sing 9 needed nsubj:pass 8 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 needed aux:pass 9 needed need VERB Tense=Past VerbForm=Part Voice=Pass root root 10 : : PUNCT _ 17 region punct 11 if if SCONJ _ 17 region mark 12 an a DET Definite=Ind PronType=Art 13 interpretation det 13 interpretation interpretation NOUN Number=Sing 17 region nsubj 14 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 17 region cop 15 the the DET Definite=Def PronType=Art 17 region det 16 densest dense ADJ Degree=Sup 17 region amod 17 region region NOUN Number=Sing 9 needed obl 18 , , PUNCT _ 23 prediction punct 19 ordinary ordinary ADJ Degree=Pos 23 prediction amod 20 next next ADJ Degree=Pos 22 token amod 21 - - PUNCT _ 20 next punct 22 token token ADJ Degree=Pos 23 prediction amod 23 prediction prediction NOUN Number=Sing 25 gives nsubj 24 already already ADV _ 25 gives advmod 25 gives give VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 17 region acl:relcl 26 it it PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs 25 gives obj 27 an a DET Definite=Ind PronType=Art 28 advantage det 28 advantage advantage NOUN Number=Sing 25 gives obj 29 , , PUNCT _ 34 reinforce punct 30 and and CCONJ _ 34 reinforce cc 31 preference preference NOUN Number=Sing 32 training compound 32 training training NOUN Number=Sing 34 reinforce nsubj 33 can can AUX VerbForm=Fin 34 reinforce aux 34 reinforce reinforce VERB VerbForm=Inf 9 needed conj 35 it it PRON Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs 34 reinforce obj 36 . . PUNCT _ 9 needed punct
# verb tense, mood who what, whom to whom where when other roles by
1 need present · passive no explicit rule the note vn want-32.1-1-1 «NP V NP ADV»: subject=Theme 2 is a a condition, not said to happen present a interpretation the densest region tree rules 3 give present ordinary token prediction interpretation vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent it=Recipient advantage=Theme 4 reinforce can preference training interpretation vn support-15.3-1 «NP V NP»: agent=Pivot it=Theme
Sentence 2: (lesson 005)
punct flat punct root ( PUNCT lesson NOUN 005 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 2 lesson punct 2 lesson lesson NOUN Number=Sing root root 3 005 005 NUM NumForm=Digit NumType=Card 2 lesson flat 4 ) ) PUNCT _ 2 lesson punct
The frames reader finds no event or fact in this sentence.
Example 5 The note says every reading is a resurrection. Mova first does what Set did: it cuts characters into tokens, tokens into words, each laid out in a row that says nothing about who did what to whom. Then the parser goes looking like Isis, finding subjects, objects and what belongs to what, until the tree grows back. (lesson 026)
Sentence 1: The note says every reading is a resurrection.
det nsubj det nsubj cop det ccomp punct root The DET note NOUN says VERB every DET reading NOUN is AUX a DET resurrection NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 note det 2 note note NOUN Number=Sing 3 says nsubj 3 says say VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 every every DET PronType=Tot 5 reading det 5 reading reading NOUN Number=Sing 8 resurrection nsubj 6 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 8 resurrection cop 7 a a DET Definite=Ind PronType=Art 8 resurrection det 8 resurrection resurrection NOUN Number=Sing 3 says ccomp 9 . . PUNCT _ 3 says punct
# verb tense, mood who what, whom to whom where when other roles by
1 say speech: assert present the note vn say-37.7-1-1 «NP V that S»: agent=Agent 2 is a present every reading a resurrection tree rules
Sentence 2: Mova first does what Set did: it cuts characters into tokens, tokens into words, each laid out in a row that says nothing about who did what to whom.
The tree, 29 words nsubj advmod obj nsubj ccomp punct nsubj parataxis obj case obl punct conj case obl punct nsubj conj compound:prt case det obl nsubj acl:relcl obj mark nsubj advcl obj case nmod punct root Mova PROPN first ADV does VERB what PRON Set PROPN did VERB : PUNCT it PRON cuts VERB characters NOUN into ADP tokens NOUN , PUNCT tokens NOUN into ADP words NOUN , PUNCT each DET laid VERB out ADP in ADP a DET row NOUN that PRON says VERB nothing PRON about SCONJ who PRON did VERB what PRON to ADP whom PRON . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Mova Mova PROPN Number=Sing 3 does nsubj 2 first first ADV NumForm=Word NumType=Ord 3 does advmod 3 does do VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 what what PRON PronType=Int 6 did obj 5 Set Set PROPN Number=Sing 6 did nsubj 6 did do VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 3 does ccomp 7 : : PUNCT _ 9 cuts punct 8 it it PRON Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs 9 cuts nsubj 9 cuts cut VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 3 does parataxis 10 characters character NOUN Number=Plur 9 cuts obj 11 into into ADP _ 12 tokens case 12 tokens token NOUN Number=Plur 9 cuts obl 13 , , PUNCT _ 14 tokens punct 14 tokens token NOUN Number=Plur 12 tokens conj 15 into into ADP _ 16 words case 16 words word NOUN Number=Plur 9 cuts obl 17 , , PUNCT _ 19 laid punct 18 each each DET PronType=Tot 19 laid nsubj 19 laid lay VERB Tense=Past VerbForm=Part Voice=Pass 9 cuts conj 20 out out ADP _ 19 laid compound:prt 21 in in ADP _ 23 row case 22 a a DET Definite=Ind PronType=Art 23 row det 23 row row NOUN Number=Sing 19 laid obl 24 that that PRON PronType=Rel 25 says nsubj 25 says say VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 23 row acl:relcl 26 nothing nothing PRON Number=Sing PronType=Neg 25 says obj 27 about about SCONJ _ 29 did mark 28 who who PRON PronType=Rel 29 did nsubj 29 did do VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin 26 nothing advcl 30 what what PRON PronType=Int 29 did obj 31 to to ADP _ 32 whom case 32 whom whom PRON PronType=Rel 30 what nmod 33 . . PUNCT _ 3 does punct
# verb tense, mood who what, whom to whom where when other roles by
1 do present Mova first property tree rules 2 do past Set vn act-114-1 «NP V NP»: agent=Agent what=Eventuality 3 cut present reading characters tokens and tokens into words vn build-26.1-1 «NP V NP.material PP.product»: agent=Agent character=Material into token=Product 4 lay out participle each a row vn put_spatial-9.2 «NP V NP PP.destination»: agent=Agent in row=Destination 5 say speech: assert present a row nothing vn say-37.7-1-1 «NP V NP.topic»: agent=Agent nothing=Topic 6 do past vn act-114-1 «NP V NP»: agent=Agent what=Eventuality
Sentence 3: Then the parser goes looking like Isis, finding subjects, objects and what belongs to what, until the tree grows back.
The tree, 20 words advmod det nsubj xcomp case obl punct conj obj punct conj cc nsubj conj case obl punct mark det nsubj acl:relcl advmod punct root Then ADV the DET parser NOUN goes VERB looking VERB like ADP Isis PROPN , PUNCT finding VERB subjects NOUN , PUNCT objects NOUN and CCONJ what PRON belongs VERB to ADP what PRON , PUNCT until SCONJ the DET tree NOUN grows VERB back ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Then then ADV PronType=Dem 4 goes advmod 2 the the DET Definite=Def PronType=Art 3 parser det 3 parser parser NOUN Number=Sing 4 goes nsubj 4 goes go VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 5 looking look VERB VerbForm=Ger 4 goes xcomp 6 like like ADP _ 7 Isis case 7 Isis Isis PROPN Number=Sing 5 looking obl 8 , , PUNCT _ 9 finding punct 9 finding find VERB VerbForm=Ger 5 looking conj 10 subjects subject NOUN Number=Plur 9 finding obj 11 , , PUNCT _ 12 objects punct 12 objects object NOUN Number=Plur 10 subjects conj 13 and and CCONJ _ 15 belongs cc 14 what what PRON PronType=Int 15 belongs nsubj 15 belongs belong VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 9 finding conj 16 to to ADP _ 17 what case 17 what what PRON PronType=Rel 15 belongs obl 18 , , PUNCT _ 22 grows punct 19 until until SCONJ _ 22 grows mark 20 the the DET Definite=Def PronType=Art 21 tree det 21 tree tree NOUN Number=Sing 22 grows nsubj 22 grows grow VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 17 what acl:relcl 23 back back ADV _ 22 grows advmod 24 . . PUNCT _ 4 goes punct
# verb tense, mood who what, whom to whom where when other roles by
1 go present the parser then vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic 2 look gerund the parser not said here like Isis vn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus 3 find gerund the parser not said here subjects and objects vn discover-84 «NP V NP»: agent=Agent subject=Topic 4 belong present vn attend-107.4-2 «NP V PP»: agent=Theme 5 grow back present the tree vn appear-48.1.1 «NP V»: agent=Theme
Sentence 4: (lesson 026)
punct flat punct root ( PUNCT lesson NOUN 026 NUM ) PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 ( ( PUNCT _ 2 lesson punct 2 lesson lesson NOUN Number=Sing root root 3 026 026 NUM NumForm=Digit NumType=Card 2 lesson flat 4 ) ) PUNCT _ 2 lesson punct
The frames reader finds no event or fact in this sentence.
Example 6 Put a token in the slot to play the game.
det obj case det obl mark advcl det obj punct root Put VERB a DET token NOUN in ADP the DET slot NOUN to PART play VERB the DET game NOUN . 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 a a DET Definite=Ind PronType=Art 3 token det 3 token token NOUN Number=Sing 1 Put obj 4 in in ADP _ 6 slot case 5 the the DET Definite=Def PronType=Art 6 slot det 6 slot slot NOUN Number=Sing 1 Put obl 7 to to PART _ 8 play mark 8 play play VERB VerbForm=Inf 1 Put advcl 9 the the DET Definite=Def PronType=Art 10 game det 10 game game NOUN Number=Sing 8 play obj 11 . . PUNCT _ 1 Put punct
# verb tense, mood who what, whom to whom where when other roles by
1 put imperative you not said here a token the slot vn put-9.1-2 «NP V NP PP.destination»: agent=Agent token=Theme in slot=Destination 2 play to-infinitive you not said here the game vn use-105.1 «NP V NP»: agent=Agent game=Theme
Example 7 I got a book token for my birthday.
nsubj det compound obj case nmod:poss obl punct root I PRON got VERB a DET book NOUN token NOUN for ADP my PRON birthday NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 I I PRON Case=Nom Number=Sing Person=1 PronType=Prs 2 got nsubj 2 got get VERB Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin root root 3 a a DET Definite=Ind PronType=Art 5 token det 4 book book NOUN Number=Sing 5 token compound 5 token token NOUN Number=Sing 2 got obj 6 for for ADP _ 8 birthday case 7 my my PRON Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs 8 birthday nmod:poss 8 birthday birthday NOUN Number=Sing 2 got obl 9 . . PUNCT _ 2 got punct
# verb tense, mood who what, whom to whom where when other roles by
1 get past I a book token for my birthday vn get-13.5.1-1 «NP V NP PP.source»: agent=Agent token=Theme for birthday=Source
Example 8 She gave him a flower as a token of thanks.
nsubj iobj det obj case det obl case nmod punct root She PRON gave VERB him PRON a DET flower NOUN as ADP a DET token NOUN of ADP thanks 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 gave nsubj 2 gave give VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 him he PRON Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs 2 gave iobj 4 a a DET Definite=Ind PronType=Art 5 flower det 5 flower flower NOUN Number=Sing 2 gave obj 6 as as ADP _ 8 token case 7 a a DET Definite=Ind PronType=Art 8 token det 8 token token NOUN Number=Sing 2 gave obl 9 of of ADP _ 10 thanks case 10 thanks thanks NOUN Number=Sing 8 token nmod 11 . . PUNCT _ 2 gave punct
# verb tense, mood who what, whom to whom where when other roles by
1 give past She a flower him = he as a token of thanks vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent he=Recipient flower=Theme
Example 9 Move your token three squares forward.
nmod:poss obj nummod obj advmod punct root Move VERB your PRON token NOUN three NUM squares NOUN forward ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 Move move VERB Mood=Imp VerbForm=Fin root root 2 your your PRON Case=Gen Person=2 Poss=Yes PronType=Prs 3 token nmod:poss 3 token token NOUN Number=Sing 1 Move obj 4 three three NUM NumForm=Word NumType=Card 5 squares nummod 5 squares square NOUN Number=Plur 1 Move obj 6 forward forward ADV _ 1 Move advmod 7 . . PUNCT _ 1 Move punct
# verb tense, mood who what, whom to whom where when other roles by
1 move imperative you not said here your token forward property vn roll-51.3.1 «NP V NP ADJ.result»: agent=Agent token=Theme square=Result
Example 10 He made only a token effort to tidy his room.
nsubj advmod det amod obj mark advcl nmod:poss obj punct root He PRON made VERB only ADV a DET token ADJ effort NOUN to PART tidy VERB his PRON room NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 He he PRON Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs 2 made nsubj 2 made make VERB Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin root root 3 only only ADV _ 6 effort advmod 4 a a DET Definite=Ind PronType=Art 6 effort det 5 token token ADJ Degree=Pos 6 effort amod 6 effort effort NOUN Number=Sing 2 made obj 7 to to PART _ 8 tidy mark 8 tidy tidy VERB VerbForm=Inf 2 made advcl 9 his his PRON Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs 10 room nmod:poss 10 room room NOUN Number=Sing 8 tidy obj 11 . . PUNCT _ 2 made punct
# verb tense, mood who what, whom to whom where when other roles by
1 make past He a token effort vn build-26.1-1 «NP V NP»: agent=Agent effort=Product 2 tidy to-infinitive He not said here his room tree rules
Example 11 By the same token, you must help too.
case det amod obl punct nsubj aux advmod punct root By ADP the DET same ADJ token NOUN , PUNCT you PRON must AUX help VERB too ADV . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 By by ADP _ 4 token case 2 the the DET Definite=Def PronType=Art 4 token det 3 same same ADJ Degree=Pos 4 token amod 4 token token NOUN Number=Sing 8 help obl 5 , , PUNCT _ 4 token punct 6 you you PRON Case=Nom Person=2 PronType=Prs 8 help nsubj 7 must must AUX VerbForm=Fin 8 help aux 8 help help VERB VerbForm=Inf root root 9 too too ADV _ 8 help advmod 10 . . PUNCT _ 8 help punct
# verb tense, mood who what, whom to whom where when other roles by
1 help must you by the same token vn help-72.1-1-1 «NP V PP.theme»: agent=Agent
Example 12 The program splits the sentence into tokens.
det nsubj det obj case obl punct root The DET program NOUN splits VERB the DET sentence NOUN into ADP tokens NOUN . PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 The the DET Definite=Def PronType=Art 2 program det 2 program program NOUN Number=Sing 3 splits nsubj 3 splits split VERB Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin root root 4 the the DET Definite=Def PronType=Art 5 sentence det 5 sentence sentence NOUN Number=Sing 3 splits obj 6 into into ADP _ 7 tokens case 7 tokens token NOUN Number=Plur 3 splits obl 8 . . PUNCT _ 3 splits punct
# verb tense, mood who what, whom to whom where when other roles by
1 split present the program the sentence into tokens result vn break-45.1 «NP V NP PP.result»: agent=Agent sentence=Patient into token=Result
Example 13 “This is a token of my thanks!”
punct nsubj cop det case nmod:poss nmod punct punct root “ PUNCT This PRON is AUX a DET token NOUN of ADP my PRON thanks NOUN ! PUNCT ” PUNCT The words, one row each (CoNLL-U) # word lemma UPOS features head relation 1 “ " PUNCT _ 5 token punct 2 This this PRON Number=Sing PronType=Dem 5 token nsubj 3 is be AUX Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin 5 token cop 4 a a DET Definite=Ind PronType=Art 5 token det 5 token token NOUN Number=Sing root root 6 of of ADP _ 8 thanks case 7 my my PRON Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs 8 thanks nmod:poss 8 thanks thanks NOUN Number=Sing 5 token nmod 9 ! ! PUNCT _ 5 token punct 10 ” " PUNCT _ 5 token punct
# verb tense, mood who what, whom to whom where when other roles by
1 is a in a quote present This a token of my thanks tree rules
Text: the mysticism 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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