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Winning Buddha's smile, Winning Buddha’s Smile, part 10, sentence 35

Thank Heaven it is granted me to satisfy my thirst for vengeance.

Who acts: my · What happens: thank, grant, satisfy, thirst · To what, where: Heaven, wretch, thirst

This is a sentence of «Winning Buddha's smile», Winning Buddha’s Smile, part 10. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (my), what happens, when and where, as Mova's frames read it from the tree.

Mova's own parse. This tree may be wrong.

The tree

advclobjnsubj:passaux:passobjmarkadvclnmod:possobjcaseoblpunctrootThankVERBHeavenPROPNitPRONisAUXgrantedVERBmePRONtoPARTsatisfyVERBmyPRONthirstNOUNforADPvengeanceNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThankthankVERBMood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin5 grantedadvcl
2HeavenHeavenPROPNNumber=Sing1 Thankobj
3ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs5 grantednsubj:pass
4isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 grantedaux:pass
5grantedgrantVERBTense=Past VerbForm=Part Voice=Passrootroot
6meIPRONCase=Acc Number=Sing Person=1 PronType=Prs5 grantedobj
7totoPART_8 satisfymark
8satisfysatisfyVERBVerbForm=Inf5 grantedadvcl
9mymyPRONCase=Gen Number=Sing Person=1 Poss=Yes PronType=Prs10 thirstnmod:poss
10thirstthirstNOUNNumber=Sing8 satisfyobj
11forforADP_12 vengeancecase
12vengeancevengeanceNOUNNumber=Sing8 satisfyobl
13..PUNCT_5 grantedpunct

Pragmatics

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1thank speech: thankpresentHeavenvn judgment-33.1-1 «NP V NP»: agent=Agent heaven=Theme
2grantpresent · passivewretchme objvn future_having-13.3 «NP V NP.goal NP»: subject=Goal i=Theme
3satisfyto-infinitivemy thirstfor vengeancevn amuse-31.1 «NP V NP»: agent=Stimulus thirst=Experiencer
4thirstmynom thirst «state intransitive»: poss=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.

Text: «Winning Buddha's smile», Project Gutenberg book 78208 (public domain in the USA). Tree: Mova's own parse, Elamur Cosmic License. Frames: Mova's frames reader (prag), the chapter read in order.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/tales/pg78208/12/35/