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Winning Buddha's smile, Winning Buddha’s Smile, part 4, sentence 19

She tottered along very, very feebly, she was so torn with emotion and anguish.

Who acts: Yeng · What happens: totter, tear, anguish · To what, where: Yeng

This is a sentence of «Winning Buddha's smile», Winning Buddha’s Smile, part 4. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Yeng), 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

nsubjadvmodadvmodpunctadvmodadvmodpunctnsubjaux:passadvmodparataxiscaseoblccconjpunctrootShePRONtotteredVERBalongADVveryADV,PUNCTveryADVfeeblyADV,PUNCTshePRONwasAUXsoADVtornVERBwithADPemotionNOUNandCCONJanguishVERB.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs2 totterednsubj
2totteredtotterVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3alongalongADV_2 totteredadvmod
4veryveryADV_2 totteredadvmod
5,,PUNCT_7 feeblypunct
6veryveryADV_7 feeblyadvmod
7feeblyfeeblyADV_2 totteredadvmod
8,,PUNCT_12 tornpunct
9sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs12 tornnsubj
10wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin12 tornaux:pass
11sosoADV_12 tornadvmod
12torntearVERBTense=Past VerbForm=Part Voice=Pass2 totteredparataxis
13withwithADP_14 emotioncase
14emotionemotionNOUNNumber=Sing12 tornobl
15andandCCONJ_16 anguishcc
16anguishanguishVERBVerbForm=Inf12 tornconj
17..PUNCT_2 totteredpunct

Pragmatics

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1totterpastYengalong, feebly propertyvn body_internal_motion-49.1 «NP V»: agent=Agent
2tearpast · passiveYengwith emotionvn break-45.1 «NP V NP PP.instrument»: subject=Patient with emotion=Instrument
3anguishinfinitivevn marvel-31.3 «NP V»: agent=Experiencer

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/pg78208/6/19/