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Japanese Fairy Tales, by Yei Theodora Ozaki, sentence 1652

Ryn Jin now desired to punish the TAI, but the Happy Hunter begged him not to do so; since his lost hook was thus happily recovered he did not wish to make more trouble for the poor TAI.

Who acts: Ryn, Happy Hunter, Hunter · What happens: desire, punish, beg, not do, recover, not wish · To what, where: TAI, Ryn, lost hook, more trouble

This is a sentence of «Japanese Fairy Tales, by Yei Theodora Ozaki», a book of tales from Project Gutenberg. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Ryn, Happy Hunter, Hunter), what happens, when and where, as Mova's frames read it from the tree.

The tree

nsubjflatadvmodmarkxcompdetobjpunctccdetcompoundnsubjconjobjadvmodmarkxcompadvmodpunctmarknmod:possamodnsubj:passaux:passadvmodadvmodadvclnsubjauxadvmodparataxismarkxcompamodobjcasedetamodnmodpunctrootRynPROPNJinPROPNnowADVdesiredVERBtoPARTpunishVERBtheDETTAIPROPN,PUNCTbutCCONJtheDETHappyPROPNHunterPROPNbeggedVERBhimPRONnotPARTtoPARTdoVERBsoADV;PUNCTsinceSCONJhisPRONlostADJhookNOUNwasAUXthusADVhappilyADVrecoveredVERBhePRONdidAUXnotPARTwishVERBtoPARTmakeVERBmoreADJtroubleNOUNforADPtheDETpoorADJTAIPROPN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1RynRynPROPNNumber=Sing4 desirednsubj
2JinJinPROPNNumber=Sing1 Rynflat
3nownowADVPronType=Dem4 desiredadvmod
4desireddesireVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
5totoPART_6 punishmark
6punishpunishVERBVerbForm=Inf4 desiredxcomp
7thetheDETDefinite=Def PronType=Art8 TAIdet
8TAITAIPROPNNumber=Sing6 punishobj
9,,PUNCT_14 beggedpunct
10butbutCCONJ_14 beggedcc
11thetheDETDefinite=Def PronType=Art13 Hunterdet
12HappyHappyPROPNNumber=Sing13 Huntercompound
13HunterHunterPROPNNumber=Sing14 beggednsubj
14beggedbegVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin4 desiredconj
15himhePRONCase=Acc Gender=Masc Number=Sing Person=3 PronType=Prs14 beggedobj
16notnotPARTPolarity=Neg18 doadvmod
17totoPART_18 domark
18dodoVERBVerbForm=Inf14 beggedxcomp
19sosoADV_18 doadvmod
20;;PUNCT_32 wishpunct
21sincesinceSCONJ_28 recoveredmark
22hishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs24 hooknmod:poss
23lostlostADJDegree=Pos24 hookamod
24hookhookNOUNNumber=Sing28 recoverednsubj:pass
25wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin28 recoveredaux:pass
26thusthusADV_28 recoveredadvmod
27happilyhappilyADV_28 recoveredadvmod
28recoveredrecoverVERBTense=Past VerbForm=Part Voice=Pass32 wishadvcl
29hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs32 wishnsubj
30diddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin32 wishaux
31notnotPARTPolarity=Neg32 wishadvmod
32wishwishVERBVerbForm=Inf14 beggedparataxis
33totoPART_34 makemark
34makemakeVERBVerbForm=Inf32 wishxcomp
35moremoreADJDegree=Cmp36 troubleamod
36troubletroubleNOUNNumber=Sing34 makeobj
37forforADP_40 TAIcase
38thetheDETDefinite=Def PronType=Art40 TAIdet
39poorpoorADJDegree=Pos40 TAIamod
40TAITAIPROPNNumber=Sing36 troublenmod
41..PUNCT_4 desiredpunct

Pragmatics

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1desirepastRynnowvn want-32.1-1-1 «NP V NP S_INF»: agent=Pivot clause=Theme
2punish not said to happento-infinitiveRyn not said herethe TAIvn prosecute-33.2-1 «NP V NP»: agent=Agent tai=Patient
3beg speech: requestpastthe Happy HunterRynvn beg-58.2-1-1 «NP V NP S_INF»: agent=Agent he=Recipient clause=Topic
4not do not said to happento-infinitivethe Happy Hunter not said herevn act-114-1 «NP V»: agent=Agent
5recoverpast · passiveRyn's lost hookhappily, thus propertyvn obtain-13.5.2 «NP V NP»: subject=Theme
6not wishpast · do-supportHuntervn wish-62 «NP V for NP S_INF»: agent=Pivot clause=Theme
7make not said to happento-infinitiveHunter not said heremore troublefor the poor TAIvn build-26.1-1 «NP V NP PP.beneficiary»: agent=Agent trouble=Product for tai=Beneficiary

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.

Text: «Japanese Fairy Tales, by Yei Theodora Ozaki», Project Gutenberg book 4018 (public domain in the USA). Annotation: the tales treebank of Mova corpus 0.3 (mova-tales-silver-en.conllu), Apache-2.0 OR MIT: parsed by Mova, patched by a large language model as teacher under UD validation gates. Sentence gutenberg:pg4018:1652.

The tree: Mova annot: Rust (en) → Claude Opus (medium) patches; gates UD 2.18. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the tale's sample read in order, so a pronoun may be resolved from an earlier sentence.

See the release 0.3.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/tales/pg4018/1652/