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Olympiad: measure words and characters as pictures ★★★, sentence 1

ge is the everyday all-rounder, but long bendy things take tiáo, flat things take zhāng, books take běn and many animals take zhī, so the measure word paints a little picture of the shape.

Who acts: ge, long bendy things, flat things, books, many animals, measure word · What happens: be, take, paint · To what, where: everyday rounder, tiáo, zhāng, běn, zhī, little picture

This is a sentence of the lesson «Olympiad: measure words and characters as pictures ★★★» of the chinese street course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (ge, long bendy things, flat things, books), what happens, when and where, as Mova's frames read it from the tree.

The tree

nsubjcopdetamoddetpunctpunctccamodamodnsubjconjobjpunctamodnsubjconjobjpunctnsubjconjobjccamodnsubjconjobjpunctadvmoddetcompoundnsubjconjdetamodobjcasedetnmodpunctrootgeNOUNisAUXtheDETeverydayADJallDET-PUNCTrounderNOUN,PUNCTbutCCONJlongADJbendyADJthingsNOUNtakeVERBtiáoNOUN,PUNCTflatADJthingsNOUNtakeVERBzhāngNOUN,PUNCTbooksNOUNtakeVERBběnNOUNandCCONJmanyADJanimalsNOUNtakeVERBzhīNOUN,PUNCTsoADVtheDETmeasureNOUNwordNOUNpaintsVERBaDETlittleADJpictureNOUNofADPtheDETshapeNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1gegeNOUNNumber=Sing7 roundernsubj
2isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 roundercop
3thetheDETDefinite=Def PronType=Art7 rounderdet
4everydayeverydayADJDegree=Pos7 rounderamod
5allallDETPronType=Tot7 rounderdet
6--PUNCT_5 allpunct
7rounderrounderNOUNNumber=Singrootroot
8,,PUNCT_13 takepunct
9butbutCCONJ_13 takecc
10longlongADJDegree=Pos12 thingsamod
11bendybendyADJDegree=Pos12 thingsamod
12thingsthingNOUNNumber=Plur13 takensubj
13taketakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin7 rounderconj
14tiáotiáoNOUNNumber=Sing13 takeobj
15,,PUNCT_18 takepunct
16flatflatADJDegree=Pos17 thingsamod
17thingsthingNOUNNumber=Plur18 takensubj
18taketakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin13 takeconj
19zhāngzhāngNOUNNumber=Sing18 takeobj
20,,PUNCT_22 takepunct
21booksbookNOUNNumber=Plur22 takensubj
22taketakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin18 takeconj
23běnběnNOUNNumber=Sing22 takeobj
24andandCCONJ_27 takecc
25manymanyADJDegree=Pos26 animalsamod
26animalsanimalNOUNNumber=Plur27 takensubj
27taketakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin22 takeconj
28zhīzhīNOUNNumber=Plur27 takeobj
29,,PUNCT_34 paintspunct
30sosoADV_34 paintsadvmod
31thetheDETDefinite=Def PronType=Art33 worddet
32measuremeasureNOUNNumber=Sing33 wordcompound
33wordwordNOUNNumber=Sing34 paintsnsubj
34paintspaintVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 rounderconj
35aaDETDefinite=Ind PronType=Art37 picturedet
36littlelittleADJDegree=Pos37 pictureamod
37picturepictureNOUNNumber=Sing34 paintsobj
38ofofADP_40 shapecase
39thetheDETDefinite=Def PronType=Art40 shapedet
40shapeshapeNOUNNumber=Sing37 picturenmod
41..PUNCT_7 rounderpunct

Pragmatics

form
statement
act
assert
voice
narrator
polarity
none
teacher
kept the draft
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresentgethe everyday roundertree rules
2takepresentlong bendy thingstiáovn bring-11.3 «NP V NP»: agent=Agent tiáo=Theme
3takepresentflat thingszhāngvn bring-11.3 «NP V NP»: agent=Agent zhāng=Theme
4takepresentbooksběnvn bring-11.3 «NP V NP»: agent=Agent běn=Theme
5takepresentmany animalszhīvn bring-11.3 «NP V NP»: agent=Agent zhī=Theme
6paintpresentthe measure worda little picture of the shapevn image_impression-25.1 «NP V NP.destination»: agent=Agent picture=Destination

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.

Licence: CC BY-SA 4.0, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, mova-school-agreed-en.conllu) is part. The lessons were written for Mova's primary school. Sentence school:chinese-street:032-olympiad-measure-words-and-picture-characters.lesson:1.

The tree: Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×1. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the release 0.4.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/chinese-street/32-olympiad-measure-words-and-picture-characters/1/