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Test 4 · ★ · Photography and phone cameras

Leo says "Bruh, I'd die" about waiting a week for film. What lesson can film teach?

Mova's choice: option 4 · The right answer: option 1 · wrong ✗ · Who acts: Leo, I, lesson · What happens: say, die, wait, film · To what, where: teach · Speech: someone speaks here

This is test 4 · ★ of lesson 20 «Photography and phone cameras» of the arts 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: Leo says "Bruh, I'd die" about waiting a week for film.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Leo	Leo	PROPN	Number=Sing	2 says	nsubj
2	says	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	"	"	PUNCT	_	8 die	punct
4	Bruh	bruh	INTJ	_	8 die	discourse
5	,	,	PUNCT	_	4 Bruh	punct
6	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	8 die	nsubj
7	'd	would	AUX	VerbForm=Fin	8 die	aux
8	die	die	VERB	VerbForm=Inf	2 says	ccomp
9	"	"	PUNCT	_	8 die	punct
10	about	about	SCONJ	_	11 waiting	mark
11	waiting	wait	VERB	Tense=Pres VerbForm=Part	8 die	advcl
12	a	a	DET	Definite=Ind PronType=Art	13 week	det
13	week	week	NOUN	Number=Sing	11 waiting	obl:unmarked
14	for	for	ADP	_	15 film	case
15	film	film	NOUN	Number=Sing	11 waiting	obl
16	.	.	PUNCT	_	2 says	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	present	Leo						vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
2	die in a quote	would	Leo						vn calibratable_cos-45.6.1 «NP.attribute V»: agent=Attribute
3	wait	gerund	I not said here				week	for film	vn exist-47.1 «NP V»: agent=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 lesson can film teach?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	DET	PronType=Int	2 lesson	det
2	lesson	lesson	NOUN	Number=Sing	4 film	nsubj
3	can	can	AUX	VerbForm=Fin	4 film	aux
4	film	film	VERB	VerbForm=Inf	root	root
5	teach	teach	NOUN	Number=Sing	4 film	obj
6	?	?	PUNCT	_	4 film	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	film	can	what lesson	teach					vn transcribe-25.4 «NP V NP»: agent=Agent teach=Theme

The options

Option 1 · ✓ the right answer

Fewer, careful photos can teach you more

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Fewer	few	ADJ	Degree=Cmp	4 photos	amod
2	,	,	PUNCT	_	1 Fewer	punct
3	careful	careful	ADJ	Degree=Pos	4 photos	amod
4	photos	photo	NOUN	Number=Plur	6 teach	nsubj
5	can	can	AUX	VerbForm=Fin	6 teach	aux
6	teach	teach	VERB	VerbForm=Inf	root	root
7	you	you	PRON	Case=Acc Person=2 PronType=Prs	6 teach	iobj
8	more	more	ADV	Degree=Cmp	6 teach	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	teach speech: other	can	Fewer careful photos		you				vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent you=Recipient

Option 2

Film photos were always blurry

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Film	film	NOUN	Number=Sing	2 photos	compound
2	photos	photo	NOUN	Number=Plur	5 blurry	nsubj
3	were	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	5 blurry	cop
4	always	always	ADV	PronType=Tot	5 blurry	advmod
5	blurry	blurry	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	Film photos					always, blurry property	tree rules

Option 3

Waiting always makes the photos worse

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Waiting	wait	VERB	VerbForm=Ger	3 makes	csubj
2	always	always	ADV	PronType=Tot	1 Waiting	advmod
3	makes	make	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	the	the	DET	Definite=Def PronType=Art	5 photos	det
5	photos	photo	NOUN	Number=Plur	3 makes	obj
6	worse	bad	ADJ	Degree=Cmp	3 makes	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	wait	gerund						always property	vn exist-47.1 «NP V»: agent=Theme
2	make	present	Waiting	the photos				bad property	vn build-26.1-1 «NP.asset V NP»: agent=Asset photo=Product

Option 4 · ← Mova's choice

Film cameras took a thousand shots on every roll

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Film	film	NOUN	Number=Sing	2 cameras	compound
2	cameras	camera	NOUN	Number=Plur	3 took	nsubj
3	took	take	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
4	a	a	DET	Definite=Ind PronType=Art	5 thousand	det
5	thousand	thousand	NUM	NumForm=Word NumType=Card	6 shots	nummod
6	shots	shot	NOUN	Number=Plur	3 took	obj
7	on	on	ADP	_	9 roll	case
8	every	every	DET	PronType=Tot	9 roll	det
9	roll	roll	NOUN	Number=Sing	3 took	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	take	past	Film cameras	thousand shots		every roll			vn bring-11.3 «NP V NP PP.destination»: agent=Agent shot=Theme on roll=Destination

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/arts/20-photography-and-phone-cameras/t4/