Test 1 · ★ · Conservation: how people help animals come back

In a cartoon a superhero saves the pandas in one afternoon. What is real conservation like?

Mova's choice: option 3 · The right answer: option 4 · wrong ✗ · Who acts: superhero, real conservation · What happens: save, be · To what, where: pandas, cartoon

This is test 1 · ★ of lesson 78 «Conservation: how people help animals come back» of the biology 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: In a cartoon a superhero saves the pandas in one afternoon.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	In	in	ADP	_	3 cartoon	case
2	a	a	DET	Definite=Ind PronType=Art	3 cartoon	det
3	cartoon	cartoon	NOUN	Number=Sing	6 saves	obl
4	a	a	DET	Definite=Ind PronType=Art	5 superhero	det
5	superhero	superhero	NOUN	Number=Sing	6 saves	nsubj
6	saves	save	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
7	the	the	DET	Definite=Def PronType=Art	8 pandas	det
8	pandas	panda	NOUN	Number=Plur	6 saves	obj
9	in	in	ADP	_	11 afternoon	case
10	one	one	NUM	NumForm=Word NumType=Card	11 afternoon	nummod
11	afternoon	afternoon	NOUN	Number=Sing	6 saves	obl
12	.	.	PUNCT	_	6 saves	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	save	present	a superhero	the pandas		a cartoon	afternoon		vn get-13.5.1-1 «NP V NP»: agent=Agent panda=Theme

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 is real conservation like?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	root	root
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	1 What	cop
3	real	real	ADJ	Degree=Pos	4 conservation	amod
4	conservation	conservation	NOUN	Number=Sing	1 What	nsubj
5	like	like	ADP	_	4 conservation	nmod
6	?	?	PUNCT	_	1 What	punct

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

The options

Option 1

One person moving all of the pandas to a new island far away from people

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	One	one	NUM	NumForm=Word NumType=Card	2 person	nummod
2	person	person	NOUN	Number=Sing	root	root
3	moving	move	VERB	VerbForm=Ger	2 person	acl
4	all	all	DET	PronType=Tot	3 moving	obj
5	of	of	ADP	_	7 pandas	case
6	the	the	DET	Definite=Def PronType=Art	7 pandas	det
7	pandas	panda	NOUN	Number=Plur	4 all	nmod
8	to	to	ADP	_	11 island	case
9	a	a	DET	Definite=Ind PronType=Art	11 island	det
10	new	new	ADJ	Degree=Pos	11 island	amod
11	island	island	NOUN	Number=Sing	3 moving	obl
12	far	far	ADV	Degree=Pos	13 away	advmod
13	away	away	ADV	_	3 moving	advmod
14	from	from	ADP	_	15 people	case
15	people	people	NOUN	Number=Plur	13 away	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	move	gerund	One person not said here	all		a new island		away property	vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent all=Theme to island=Trajectory

Option 2

A single law that makes pandas multiply

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 law	det
2	single	single	ADJ	Degree=Pos	3 law	amod
3	law	law	NOUN	Number=Sing	root	root
4	that	that	PRON	PronType=Rel	5 makes	nsubj
5	makes	make	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 law	acl:relcl
6	pandas	panda	NOUN	Number=Plur	5 makes	obj
7	multiply	multiply	VERB	VerbForm=Inf	5 makes	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	present	a single law	pandas					tree rules
2	multiply	infinitive	pandas not said here						vn birth-28.2-2 «NP V»: agent=Agent

Option 3 · ← Mova's choice

Pandas saving themselves by learning to eat meat

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Pandas	panda	NOUN	Number=Plur	root	root
2	saving	save	VERB	VerbForm=Ger	1 Pandas	acl
3	themselves	themselves	PRON	Case=Acc Number=Plur Person=3 PronType=Prs Reflex=Yes	2 saving	obj
4	by	by	SCONJ	_	5 learning	mark
5	learning	learn	VERB	Tense=Pres VerbForm=Part	2 saving	advcl
6	to	to	PART	_	7 eat	mark
7	eat	eat	VERB	VerbForm=Inf	5 learning	xcomp
8	meat	meat	NOUN	Number=Sing	7 eat	obj

#	verb	tense, mood	who	what, whom	roles by
1	save	gerund	Pandas not said here	Pandas = panda	vn get-13.5.1-1 «NP V NP»: agent=Agent themselves=Theme
2	learn	gerund	Pandas not said here		vn learn-14-2-1 «NP V that S»: agent=Agent clause=Topic
3	eat	to-infinitive	Pandas not said here	meat	vn eat-39.1-1 «NP V NP»: agent=Agent meat=Patient

Option 4 · ✓ the right answer

Many people working for years to protect and join up their homes

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Many	many	ADJ	Degree=Pos	2 people	amod
2	people	people	NOUN	Number=Plur	root	root
3	working	work	VERB	VerbForm=Ger	2 people	acl
4	for	for	ADP	_	5 years	case
5	years	year	NOUN	Number=Plur	3 working	obl
6	to	to	PART	_	7 protect	mark
7	protect	protect	VERB	VerbForm=Inf	3 working	advcl
8	and	and	CCONJ	_	9 join	cc
9	join	join	VERB	Mood=Imp VerbForm=Fin	7 protect	conj
10	up	up	ADP	_	9 join	compound:prt
11	their	their	PRON	Case=Gen Number=Plur Person=3 Poss=Yes PronType=Prs	12 homes	nmod:poss
12	homes	home	NOUN	Number=Plur	9 join	obj

#	verb	tense, mood	who	what, whom	when	roles by
1	work	gerund	Many people not said here		year	vn employment-95.3 «NP V»: agent=Agent
2	protect	to-infinitive	Many people not said here			vn defend-72.3 «NP V S_ING»: agent=Agent
3	join up	infinitive	Many people not said here	people's homes		vn mix-22.1-2-1 «NP V NP»: agent=Agent home=Patient

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/biology/78-conservation-animals-come-back/t1/