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Test 2 · ★★ · China: modern China, space and contested topics

The teacher calls China's poverty reduction «only propaganda». Who is mostly right?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: teacher, China · What happens: call, reduce, be · To what, where: poverty reduction · Speech: someone speaks here

This is test 2 · ★★ of lesson 59 «China: modern China, space and contested topics» of the history 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: The teacher calls China's poverty reduction «only propaganda».

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 teacher	det
2	teacher	teacher	NOUN	Number=Sing	3 calls	nsubj
3	calls	call	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	China	China	PROPN	Number=Sing	7 reduction	nmod:poss
5	's	's	PART	_	4 China	case
6	poverty	poverty	NOUN	Number=Sing	7 reduction	compound
7	reduction	reduction	NOUN	Number=Sing	3 calls	obj
8	«	«	PUNCT	_	10 propaganda	punct
9	only	only	ADV	_	10 propaganda	advmod
10	propaganda	propaganda	NOUN	Number=Sing	7 reduction	appos
11	»	»	PUNCT	_	10 propaganda	punct
12	.	.	PUNCT	_	3 calls	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	call	present	the teacher	China's poverty reduction					vn initiate_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent reduction=Recipient
2	reduce		China						nom reduction «act transitive»: poss=agent

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: Who is mostly right?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Who	who	PRON	PronType=Rel	4 right	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 right	cop
3	mostly	mostly	ADV	_	4 right	advmod
4	right	right	ADJ	Degree=Pos	root	root
5	?	?	PUNCT	_	4 right	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present						mostly, right property	tree rules

The options

Option 1 · ← Mova's choice

Neither: there was never any poverty in China to reduce

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Neither	neither	DET	PronType=Neg	7 poverty	nsubj
2	:	:	PUNCT	_	4 was	punct
3	there	there	PRON	PronType=Dem	4 was	expl
4	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	7 poverty	cop
5	never	never	ADV	PronType=Neg	7 poverty	advmod
6	any	any	DET	PronType=Ind	7 poverty	det
7	poverty	poverty	NOUN	Number=Sing	root	root
8	in	in	ADP	_	9 China	case
9	China	China	PROPN	Number=Sing	7 poverty	nmod
10	to	to	PART	_	11 reduce	mark
11	reduce	reduce	VERB	VerbForm=Inf	7 poverty	acl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not is a	past	Neither	any poverty		China			tree rules
2	reduce	to-infinitive							vn limit-76 «NP V NP»: agent=Causer

Option 2 · ✓ the right answer

Mei: World Bank numbers show it is real and huge

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Mei	Mei	PROPN	Number=Sing	6 show	nsubj
2	:	:	PUNCT	_	6 show	punct
3	World	World	PROPN	Number=Sing	4 Bank	compound
4	Bank	Bank	PROPN	Number=Sing	5 numbers	compound
5	numbers	number	NOUN	Number=Plur	6 show	nsubj
6	show	show	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
7	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	9 real	nsubj
8	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	9 real	cop
9	real	real	ADJ	Degree=Pos	6 show	ccomp
10	and	and	CCONJ	_	11 huge	cc
11	huge	huge	ADJ	Degree=Pos	9 real	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	show	present	Mei						vn transfer_mesg-37.1.1-1-1 «NP V»: agent=Agent
2	is	present	it					real property	tree rules
3	be								tree rules

Option 3

Both: it happened, but only for people living in Beijing

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Both	both	DET	PronType=Tot	4 happened	nsubj
2	:	:	PUNCT	_	4 happened	punct
3	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	4 happened	nsubj
4	happened	happen	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
5	,	,	PUNCT	_	9 people	punct
6	but	but	CCONJ	_	9 people	cc
7	only	only	ADV	_	9 people	advmod
8	for	for	ADP	_	9 people	case
9	people	people	NOUN	Number=Plur	4 happened	parataxis
10	living	live	VERB	VerbForm=Ger	9 people	acl
11	in	in	ADP	_	12 Beijing	case
12	Beijing	Beijing	PROPN	Number=Sing	10 living	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	happen	past	Both						vn occur-48.3-1 «NP V»: agent=Theme
2	live	gerund	people not said here			Beijing			vn lodge-46 «NP V PP.location»: agent=Theme in beijing=Location

Option 4

The teacher: the World Bank just copied China's own numbers

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 teacher	det
2	teacher	teacher	NOUN	Number=Sing	8 copied	nsubj
3	:	:	PUNCT	_	6 Bank	punct
4	the	the	DET	Definite=Def PronType=Art	6 Bank	det
5	World	World	PROPN	Number=Sing	6 Bank	compound
6	Bank	Bank	PROPN	Number=Sing	2 teacher	appos
7	just	just	ADV	_	8 copied	advmod
8	copied	copy	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
9	China	China	PROPN	Number=Sing	12 numbers	nmod:poss
10	's	's	PART	_	9 China	case
11	own	own	ADJ	Degree=Pos	12 numbers	amod
12	numbers	number	NOUN	Number=Plur	8 copied	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	copy	past	the teacher	China's own numbers					vn scribble-25.2 «NP V NP»: agent=Agent number=Theme

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/history/59-china-modern-china-space-and-contested-topics/t2/