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home / corpora / tales / Gleanings from Chinese folklore / A Chinese Tea-house Story / 102

Gleanings from Chinese folklore, A Chinese Tea-house Story, sentence 102

His face was very white and he wore a long beard.

Who acts: face, teacher · What happens: be, wear · To what, where: long beard

This is a sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, A Chinese Tea-house Story. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (face, teacher), 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

nmod:possnsubjcopadvmodccnsubjconjdetamodobjpunctrootHisPRONfaceNOUNwasAUXveryADVwhiteADJandCCONJhePRONworeVERBaDETlongADJbeardNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs2 facenmod:poss
2facefaceNOUNNumber=Sing5 whitensubj
3wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin5 whitecop
4veryveryADV_5 whiteadvmod
5whitewhiteADJDegree=Posrootroot
6andandCCONJ_8 worecc
7hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs8 worensubj
8worewearVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin5 whiteconj
9aaDETDefinite=Ind PronType=Art11 bearddet
10longlongADJDegree=Pos11 beardamod
11beardbeardNOUNNumber=Sing8 woreobj
12..PUNCT_5 whitepunct

Pragmatics

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispastteacher's facewhite propertytree rules
2wearpastteachera long beardvn wipe_manner-10.4.1-1 «NP V NP.source»: agent=Agent beard=Source

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: «Gleanings from Chinese folklore» by Nellie Naomi Russell, Project Gutenberg book 75089 (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/pg75089/10/102/