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home / corpora / tales / Winning Buddha's smile / Winning Buddha’s Smile, part 4 / 101

Winning Buddha's smile, Winning Buddha’s Smile, part 4, sentence 101

San-Syeng had not missed a word of this conversation.

What happens: not miss, word · To what, where: San, conversation

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: 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

nsubj:passpunctflatauxadvmoddetobjcasedetnmodpunctrootSanPROPN-PUNCTSyengPROPNhadAUXnotPARTmissedVERBaDETwordNOUNofADPthisDETconversationNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SanSanPROPNNumber=Sing6 missednsubj:pass
2--PUNCT_1 Sanpunct
3SyengSyengPROPNNumber=Sing1 Sanflat
4hadhaveAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin6 missedaux
5notnotPARTPolarity=Neg6 missedadvmod
6missedmissVERBTense=Past VerbForm=Part Voice=Passrootroot
7aaDETDefinite=Ind PronType=Art8 worddet
8wordwordNOUNNumber=Sing6 missedobj
9ofofADP_11 conversationcase
10thisthisDETNumber=Sing PronType=Dem11 conversationdet
11conversationconversationNOUNNumber=Sing8 wordnmod
12..PUNCT_6 missedpunct

Pragmatics

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not misspast · perfect · passiveSana word of this conversation objtree rules
2wordthis conversationnom word «communication transitive»: of=patient

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/pg78208/6/101/