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Test 4 · ★★★ · Olympiad: measure words and characters as pictures ★★★

★★★ A Chinese dragon is long and twisty like a snake. Which measure word does it share with a fish?

Mova's choice: option 4 · The right answer: option 4 · right ✓ · Who acts: ★, measure word · What happens: be, share

This is test 4 · ★★★ of lesson 32 «Olympiad: measure words and characters as pictures ★★★» of the Chinese street course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school.

The question

Sentence 1: ★★★ A Chinese dragon is long and twisty like a snake.

nsubjdepcasedetamodnmodcopccconjcasedetoblpunctroot★PROPN★X★ADPADETChineseADJdragonNOUNisAUXlongADJandCCONJtwistyADJlikeADPaDETsnakeNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1★★PROPNNumber=Sing8 longnsubj
2★★XForeign=Yes1 ★dep
3★★ADP_6 dragoncase
4AaDETDefinite=Ind PronType=Art6 dragondet
5ChineseChineseADJDegree=Pos6 dragonamod
6dragondragonNOUNNumber=Sing1 ★nmod
7isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin8 longcop
8longlongADJDegree=Posrootroot
9andandCCONJ_10 twistycc
10twistytwistyADJDegree=Pos8 longconj
11likelikeADP_13 snakecase
12aaDETDefinite=Ind PronType=Art13 snakedet
13snakesnakeNOUNNumber=Sing10 twistyobl
14..PUNCT_8 longpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispresent★ ★ a Chinese dragonlong propertytree rules
2be★ ★ a Chinese dragon not said herelike a snaketree rules

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.

Sentence 2: Which measure word does it share with a fish?

detcompoundnsubjauxnsubjcasedetoblpunctrootWhichDETmeasureNOUNwordNOUNdoesAUXitPRONshareVERBwithADPaDETfishNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhichwhichDETPronType=Int2 measuredet
2measuremeasureNOUNNumber=Sing3 wordcompound
3wordwordNOUNNumber=Sing6 sharensubj
4doesdoAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin6 shareaux
5ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs6 sharensubj
6shareshareVERBVerbForm=Infrootroot
7withwithADP_9 fishcase
8aaDETDefinite=Ind PronType=Art9 fishdet
9fishfishNOUNNumber=Sing6 shareobl
10??PUNCT_6 sharepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1sharepresent · do-supportmeasure wordwith a fishtree rules

The options

Option 1

běn, like a book

punctcasedetapposrootběnPROPN,PUNCTlikeADPaDETbookNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1běnběnPROPNNumber=Singrootroot
2,,PUNCT_5 bookpunct
3likelikeADP_5 bookcase
4aaDETDefinite=Ind PronType=Art5 bookdet
5bookbookNOUNNumber=Sing1 běnappos

The frames reader finds no event or fact in this sentence.

Option 2

zhāng, like a table

punctcasedetapposrootzhāngPROPN,PUNCTlikeADPaDETtableNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1zhāngzhāngPROPNNumber=Singrootroot
2,,PUNCT_5 tablepunct
3likelikeADP_5 tablecase
4aaDETDefinite=Ind PronType=Art5 tabledet
5tabletableNOUNNumber=Sing1 zhāngappos

The frames reader finds no event or fact in this sentence.

Option 3

zhī, like a cat

punctcasedetapposrootzhīPROPN,PUNCTlikeADPaDETcatNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1zhīzhīPROPNNumber=Singrootroot
2,,PUNCT_5 catpunct
3likelikeADP_5 catcase
4aaDETDefinite=Ind PronType=Art5 catdet
5catcatNOUNNumber=Sing1 zhīappos

The frames reader finds no event or fact in this sentence.

Option 4 · ← Mova's choice · ✓ the right answer

tiáo

roottiáoNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1tiáotiáoNOUNNumber=Singrootroot

The frames reader finds no event or fact in this sentence.

Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each text read on its own. Elamur Cosmic License.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/chinese-street/32-olympiad-measure-words-and-picture-characters/t4/