Test 2 · ★★ · Worries and hopes: climate, the UN, space, AI, and is the…

Max: "The ozone hole thing, did they fix it or nah?" What's the honest answer?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: Max, honest answer · What happens: fix, be · To what, where: thing

This is test 2 · ★★ of lesson 79 «Worries and hopes: climate, the UN, space, AI, and is the world getting better?» 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: Max: "The ozone hole thing, did they fix it or nah?"

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Max	Max	PROPN	Number=Sing	11 fix	nsubj
2	:	:	PUNCT	_	7 thing	punct
3	"	"	PUNCT	_	7 thing	punct
4	The	the	DET	Definite=Def PronType=Art	7 thing	det
5	ozone	ozone	NOUN	Number=Sing	6 hole	compound
6	hole	hole	NOUN	Number=Sing	7 thing	compound
7	thing	thing	NOUN	Number=Sing	1 Max	appos
8	,	,	PUNCT	_	1 Max	punct
9	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	11 fix	aux
10	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	11 fix	nsubj
11	fix	fix	VERB	VerbForm=Inf	root	root
12	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	11 fix	obj
13	or	or	CCONJ	_	14 nah	cc
14	nah	nah	INTJ	_	11 fix	discourse
15	?	?	PUNCT	_	11 fix	punct
16	"	"	PUNCT	_	11 fix	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	fix in a quote	past · do-support	Max	thing					vn shake-22.3-2 «NP V NP together»: agent=Agent it=Patient

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's the honest answer?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	root	root
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	1 What	cop
3	the	the	DET	Definite=Def PronType=Art	5 answer	det
4	honest	honest	ADJ	Degree=Pos	5 answer	amod
5	answer	answer	NOUN	Number=Sing	1 What	nsubj
6	?	?	PUNCT	_	1 What	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	present	the honest answer						tree rules

The options

Option 1 · ← Mova's choice · ✓ the right answer

Countries banned the harmful chemicals in 1987 and it is slowly healing

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Countries	country	NOUN	Number=Plur	2 banned	nsubj
2	banned	ban	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
3	the	the	DET	Definite=Def PronType=Art	5 chemicals	det
4	harmful	harmful	ADJ	Degree=Pos	5 chemicals	amod
5	chemicals	chemical	NOUN	Number=Plur	2 banned	obj
6	in	in	ADP	_	7 1987	case
7	1987	1987	NUM	NumForm=Digit NumType=Card	2 banned	obl
8	and	and	CCONJ	_	12 healing	cc
9	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	12 healing	nsubj
10	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	12 healing	aux
11	slowly	slowly	ADV	_	12 healing	advmod
12	healing	heal	VERB	Tense=Pres VerbForm=Part	2 banned	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	ban	past	Countries	the harmful chemicals		1987			vn forbid-64.4-1 «NP V NP»: agent=Causer chemical=Theme
2	heal	present · progressive	it					slowly property	vn other_cos-45.4 «NP.patient V»: agent=Patient

Option 2

It was fixed in one day in 1950

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	3 fixed	nsubj:pass
2	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	3 fixed	aux:pass
3	fixed	fix	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
4	in	in	ADP	_	6 day	case
5	one	one	NUM	NumForm=Word NumType=Card	6 day	nummod
6	day	day	NOUN	Number=Sing	3 fixed	obl
7	in	in	ADP	_	8 1950	case
8	1950	1950	NUM	NumForm=Digit NumType=Card	3 fixed	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	fix	past · passive		It		1950	day		vn shake-22.3-2 «NP V NP together»: subject=Patient

Option 3

Nah, it just got bigger and bigger every year until it swallowed the Moon

The tree, 14 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	5 got	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	5 got	nsubj
4	just	just	ADV	_	5 got	advmod
5	got	get	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
6	bigger	big	ADJ	Degree=Cmp	5 got	xcomp
7	and	and	CCONJ	_	8 bigger	cc
8	bigger	big	ADJ	Degree=Cmp	6 bigger	conj
9	every	every	DET	PronType=Tot	10 year	det
10	year	year	NOUN	Number=Sing	5 got	obl:unmarked
11	until	until	SCONJ	_	13 swallowed	mark
12	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	13 swallowed	nsubj
13	swallowed	swallow	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 got	advcl
14	the	the	DET	Definite=Def PronType=Art	15 Moon	det
15	Moon	Moon	PROPN	Number=Sing	13 swallowed	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	get	past	it				year	big property	vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer
2	swallow	past	it	the Moon					vn gobble-39.3 «NP V NP»: agent=Agent moon=Patient

Option 4

Nothing was ever done

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nothing	nothing	PRON	Number=Sing PronType=Neg	4 done	nsubj:pass
2	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 done	aux:pass
3	ever	ever	ADV	PronType=Ind	4 done	advmod
4	done	do	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	past · passive		Nothing			ever		vn act-114-1 «NP V NP»: subject=Eventuality

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/79-worries-and-hopes-is-the-world-getting-better/t2/