Test 12 · ★ · The tiger: the biggest and strongest cat, a solitary and c…

Why do scientists put camera traps in the forest instead of catching tigers?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: scientists · What happens: put, catch · To what, where: camera traps, forest, tigers

This is test 12 · ★ of lesson 19 «The tiger: the biggest and strongest cat, a solitary and cunning hunter» 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

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Why	why	ADV	PronType=Int	4 put	advmod
2	do	do	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 put	aux
3	scientists	scientist	NOUN	Number=Plur	4 put	nsubj
4	put	put	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
5	camera	camera	NOUN	Number=Sing	6 traps	compound
6	traps	trap	NOUN	Number=Plur	4 put	obj
7	in	in	ADP	_	9 forest	case
8	the	the	DET	Definite=Def PronType=Art	9 forest	det
9	forest	forest	NOUN	Number=Sing	4 put	obl
10	instead	instead	ADV	ExtPos=SCONJ	12 catching	mark
11	of	of	ADP	_	10 instead	fixed
12	catching	catch	VERB	Tense=Pres VerbForm=Part	4 put	advcl
13	tigers	tiger	NOUN	Number=Plur	12 catching	obj
14	?	?	PUNCT	_	4 put	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	put	present · do-support	scientists	camera traps		the forest			vn put-9.1-2 «NP V NP PP.destination»: agent=Agent trap=Theme in forest=Destination
2	catch	gerund	scientists not said here	tigers					vn get-13.5.1 «NP V NP»: agent=Agent tiger=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.

The options

Option 1 · ← Mova's choice

Catching tigers is easy but boring

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Catching	catch	VERB	VerbForm=Ger	4 easy	csubj
2	tigers	tiger	NOUN	Number=Plur	1 Catching	obj
3	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 easy	cop
4	easy	easy	ADJ	Degree=Pos	root	root
5	but	but	CCONJ	_	6 boring	cc
6	boring	boring	ADJ	Degree=Pos	4 easy	conj

#	verb	tense, mood	who	what, whom	other	roles by
1	catch	gerund		tigers		vn get-13.5.1 «NP V NP»: agent=Agent tiger=Theme
2	is	present	Catching		easy property	tree rules
3	be		Catching not said here			tree rules

Option 2

Tigers like having their photos taken

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Tigers	tiger	NOUN	Number=Plur	6 taken	nsubj
2	like	like	SCONJ	_	3 having	mark
3	having	have	VERB	VerbForm=Ger	1 Tigers	acl
4	their	their	PRON	Case=Gen Number=Plur Person=3 Poss=Yes PronType=Prs	5 photos	nmod:poss
5	photos	photo	NOUN	Number=Plur	3 having	obj
6	taken	take	VERB	Tense=Past VerbForm=Part	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	have	gerund	Tigers not said here	Tigers's photos					vn birth-28.2-1 «NP V NP»: agent=Agent photo=Patient
2	take	participle	Tigers						vn bring-11.3 «NP V NP»: agent=Agent

Option 3 · ✓ the right answer

Each tiger's stripes are unique, so photos are enough to count them

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Each	each	DET	PronType=Tot	2 tiger	det
2	tiger	tiger	NOUN	Number=Sing	4 stripes	nmod:poss
3	's	's	PART	_	2 tiger	case
4	stripes	stripe	NOUN	Number=Plur	6 unique	nsubj
5	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	6 unique	cop
6	unique	unique	ADJ	Degree=Pos	root	root
7	,	,	PUNCT	_	11 enough	punct
8	so	so	ADV	_	11 enough	advmod
9	photos	photo	NOUN	Number=Plur	11 enough	nsubj
10	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	11 enough	cop
11	enough	enough	ADJ	Degree=Pos	6 unique	conj
12	to	to	PART	_	13 count	mark
13	count	count	VERB	VerbForm=Inf	11 enough	advcl
14	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	13 count	obj

#	verb	tense, mood	who	what, whom	other	roles by
1	is	present	each tiger's stripes		unique property	tree rules
2	is	present	photos		enough property	tree rules
3	count	to-infinitive	photos not said here	photos = photo		vn multiply-108 «NP V NP»: agent=Agent they=Theme

Option 4

Cameras keep tigers away from villages, so the forest stays safe for people

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Cameras	camera	NOUN	Number=Plur	2 keep	nsubj
2	keep	keep	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
3	tigers	tiger	NOUN	Number=Plur	2 keep	obj
4	away	away	ADV	_	2 keep	advmod
5	from	from	ADP	_	6 villages	case
6	villages	village	NOUN	Number=Plur	4 away	obl
7	,	,	PUNCT	_	11 stays	punct
8	so	so	ADV	_	11 stays	advmod
9	the	the	DET	Definite=Def PronType=Art	10 forest	det
10	forest	forest	NOUN	Number=Sing	11 stays	nsubj
11	stays	stay	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	2 keep	conj
12	safe	safe	ADJ	Degree=Pos	11 stays	xcomp
13	for	for	ADP	_	14 people	case
14	people	people	NOUN	Number=Plur	11 stays	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	keep	present	Cameras	tigers				away property	vn keep-15.2 «NP V NP»: agent=Agent tiger=Theme
2	stay	present	the forest					for people; safe property	vn exist-47.1 «NP V»: agent=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/biology/19-the-tiger/t12/