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Test 11 · Happy, angry, bored, scared

Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ". What did she nearly say?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · Who acts: sister · What happens: mix up, say · To what, where: kū · Speech: someone speaks here

This is test 11 of lesson 16 «Happy, angry, bored, scared» 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: Lín's sister mixes up kū and kǔ: "wǒ xiǎng kǔ".

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Lín	Lín	PROPN	Number=Sing	3 sister	nmod:poss
2	's	's	PART	_	1 Lín	case
3	sister	sister	NOUN	Number=Sing	4 mixes	nsubj
4	mixes	mix	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
5	up	up	ADP	_	4 mixes	compound:prt
6	kū	kū	NOUN	Number=Sing	4 mixes	obj
7	and	and	CCONJ	_	8 kǔ	cc
8	kǔ	kǔ	NOUN	Number=Sing	6 kū	conj
9	:	:	PUNCT	_	13 kǔ	punct
10	"	"	PUNCT	_	11 wǒ	punct
11	wǒ	wǒ	X	Foreign=Yes	13 kǔ	compound
12	xiǎng	xiǎng	X	_	13 kǔ	compound
13	kǔ	kǔ	NOUN	Number=Sing	4 mixes	parataxis
14	"	"	PUNCT	_	13 kǔ	punct
15	.	.	PUNCT	_	4 mixes	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	mix up	present	Lín's sister	kū and kǔ					tree 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: What did she nearly say?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	5 say	obj
2	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 say	aux
3	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	5 say	nsubj
4	nearly	nearly	ADV	_	5 say	advmod
5	say	say	VERB	VerbForm=Inf	root	root
6	?	?	PUNCT	_	5 say	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past · do-support	sister					nearly property	vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic

The options

Option 1

Something about a dog

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Something	something	PRON	Number=Sing PronType=Ind	root	root
2	about	about	ADP	_	4 dog	case
3	a	a	DET	Definite=Ind PronType=Art	4 dog	det
4	dog	dog	NOUN	Number=Sing	1 Something	nmod

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

Option 2

Something about a cow

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Something	something	PRON	Number=Sing PronType=Ind	root	root
2	about	about	ADP	_	4 cow	case
3	a	a	DET	Definite=Ind PronType=Art	4 cow	det
4	cow	cow	NOUN	Number=Sing	1 Something	nmod

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

Option 3 · ← Mova's choice · ✓ the right answer

Something about bitter, not crying

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Something	something	PRON	Number=Sing PronType=Ind	root	root
2	about	about	ADP	_	3 bitter	case
3	bitter	bitter	ADJ	Degree=Pos	1 Something	nmod
4	,	,	PUNCT	_	6 crying	punct
5	not	not	PART	Polarity=Neg	6 crying	advmod
6	crying	cry	VERB	Tense=Pres VerbForm=Part	1 Something	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not cry speech: express	gerund							vn manner_speaking-37.3 «NP V»: agent=Agent

Option 4

Something about cool

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Something	something	PRON	Number=Sing PronType=Ind	root	root
2	about	about	ADV	_	3 cool	advmod
3	cool	cool	ADJ	Degree=Pos	1 Something	amod

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/16-happy-angry-bored-scared/t11/