Exam question 2 · Animals in the news: true stories, fakes and how to read t…

Select the response consistent with the established facts concerning photographs of sharks in flooded streets.

Mova's choice: option 2 · The right answer: option 4 · wrong ✗ · Who acts: you · What happens: select, establish, flood · To what, where: response

This is exam question 2 of lesson 296 «Animals in the news: true stories, fakes and how to read them» of the biology course of Mova's primary school, asked in stiff, formal language. 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	Select	select	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	3 response	det
3	response	response	NOUN	Number=Sing	1 Select	obj
4	consistent	consistent	ADJ	Degree=Pos	1 Select	xcomp
5	with	with	ADP	_	8 facts	case
6	the	the	DET	Definite=Def PronType=Art	8 facts	det
7	established	establish	VERB	Tense=Past VerbForm=Part Voice=Pass	8 facts	amod
8	facts	fact	NOUN	Number=Plur	4 consistent	obl
9	concerning	concerning	ADJ	Degree=Pos	10 photographs	amod
10	photographs	photograph	NOUN	Number=Plur	8 facts	conj
11	of	of	ADP	_	12 sharks	case
12	sharks	shark	NOUN	Number=Plur	10 photographs	nmod
13	in	in	ADP	_	15 streets	case
14	flooded	flood	VERB	Tense=Past VerbForm=Part Voice=Pass	15 streets	amod
15	streets	street	NOUN	Number=Plur	12 sharks	nmod
16	.	.	PUNCT	_	1 Select	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	select	imperative	you not said here	the response	consistent property	vn obtain-13.5.2 «NP V NP»: agent=Agent response=Theme
2	establish	participle				vn indicate-78-1-1 «NP V NP to be NP»: agent=Pivot
3	flood	participle				vn other_cos-45.4 «NP.patient V»: agent=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.

The options

Option 1

Such images are produced by the sharks' own cameras

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Such	such	ADJ	Degree=Pos	2 images	amod
2	images	image	NOUN	Number=Plur	4 produced	nsubj:pass
3	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 produced	aux:pass
4	produced	produce	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
5	by	by	ADP	_	10 cameras	case
6	the	the	DET	Definite=Def PronType=Art	7 sharks	det
7	sharks	shark	NOUN	Number=Plur	10 cameras	nmod:poss
8	'	's	PART	_	7 sharks	case
9	own	own	ADJ	Degree=Pos	10 cameras	amod
10	cameras	camera	NOUN	Number=Plur	4 produced	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	produce	present · passive	the sharks's own cameras	Such images					vn create-26.4 «NP V NP»: agent=Agent subject=Result

Option 2 · ← Mova's choice

Such images depict dolphins mistaken for sharks

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Such	such	ADJ	Degree=Pos	2 images	amod
2	images	image	NOUN	Number=Plur	3 depict	nsubj
3	depict	depict	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	dolphins	dolphin	NOUN	Number=Plur	3 depict	obj
5	mistaken	mistake	VERB	Tense=Past VerbForm=Part Voice=Pass	4 dolphins	acl
6	for	for	ADP	_	7 sharks	case
7	sharks	shark	NOUN	Number=Plur	5 mistaken	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	depict	present	Such images	dolphins					vn characterize-29.2 «NP V NP S_ING»: agent=Agent dolphin=Theme
2	mistake	participle		dolphins not said here				for sharks	tree rules

Option 3

Such images invariably record genuine incursions of marine animals into towns

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Such	such	ADJ	Degree=Pos	2 images	amod
2	images	image	NOUN	Number=Plur	4 record	nsubj
3	invariably	invariably	ADV	_	4 record	advmod
4	record	record	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
5	genuine	genuine	ADJ	Degree=Pos	6 incursions	amod
6	incursions	incursion	NOUN	Number=Plur	4 record	obj
7	of	of	ADP	_	9 animals	case
8	marine	marine	ADJ	Degree=Pos	9 animals	amod
9	animals	animal	NOUN	Number=Plur	6 incursions	nmod
10	into	into	ADP	_	11 towns	case
11	towns	town	NOUN	Number=Plur	4 record	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	record	present	Such images	genuine incursions of marine animals		towns		invariably property	vn transcribe-25.4 «NP V NP PP.destination»: agent=Agent incursion=Theme into town=Destination
2	incur			marine animals					nom incursion «act transitive»: of=patient

Option 4 · ✓ the right answer

Such images are customarily edited pictures recirculated after successive floods

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Such	such	ADJ	Degree=Pos	2 images	amod
2	images	image	NOUN	Number=Plur	6 pictures	nsubj
3	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	6 pictures	cop
4	customarily	customarily	ADV	_	6 pictures	advmod
5	edited	edit	VERB	Tense=Past VerbForm=Part Voice=Pass	6 pictures	amod
6	pictures	picture	NOUN	Number=Plur	root	root
7	recirculated	recirculate	VERB	Tense=Past VerbForm=Part Voice=Pass	6 pictures	acl
8	after	after	ADP	_	10 floods	case
9	successive	successive	ADJ	Degree=Pos	10 floods	amod
10	floods	flood	NOUN	Number=Plur	7 recirculated	obl:agent

#	verb	tense, mood	who	what, whom	other	roles by
1	edit	participle				tree rules
2	is a	present	Such images	edited pictures	customarily property	tree rules
3	recirculate	participle		edited pictures not said here		vn modes_of_being_with_motion-47.3 «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/296-animals-in-the-news-true-stories-fakes-and-how-to-read-them/e2/