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Test 1 · ★ · Photography and phone cameras

Your mate goes, "my phone's trash, a new one would fix all my photos." What matters more?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: mate, new one · What happens: go, fix, matter · To what, where: trash, photos

This is test 1 · ★ 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: Your mate goes, "my phone's trash, a new one would fix all my photos."

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	2 mate	nmod:poss
2	mate	mate	NOUN	Number=Sing	3 goes	nsubj
3	goes	go	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	,	,	PUNCT	_	3 goes	punct
5	"	"	PUNCT	_	9 trash	punct
6	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	7 phone	nmod:poss
7	phone	phone	NOUN	Number=Sing	9 trash	nmod:poss
8	's	's	PART	_	7 phone	case
9	trash	trash	NOUN	Number=Sing	3 goes	obl
10	,	,	PUNCT	_	15 fix	punct
11	a	a	DET	Definite=Ind PronType=Art	13 one	det
12	new	new	ADJ	Degree=Pos	13 one	amod
13	one	one	NOUN	Number=Sing	15 fix	nsubj
14	would	would	AUX	VerbForm=Fin	15 fix	aux
15	fix	fix	VERB	VerbForm=Inf	9 trash	conj
16	all	all	DET	PronType=Tot	18 photos	det:predet
17	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	18 photos	nmod:poss
18	photos	photo	NOUN	Number=Plur	15 fix	obj
19	.	.	PUNCT	_	3 goes	punct
20	"	"	PUNCT	_	3 goes	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	go	present	Your mate	my phone's trash					vn disappearance-48.2-1 «NP V»: agent=Theme
2	fix in a quote	would	a new one	my photos					vn shake-22.3-2 «NP V NP together»: agent=Agent photo=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 matters more?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	2 matters	nsubj
2	matters	matter	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	more	more	ADV	Degree=Cmp	2 matters	advmod
4	?	?	PUNCT	_	2 matters	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	matter	present							vn matter-91 «NP V»: agent=Stimulus

The options

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

Knowing light and angles

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Knowing	know	VERB	Tense=Pres VerbForm=Part	root	root
2	light	light	NOUN	Number=Sing	1 Knowing	obj
3	and	and	CCONJ	_	4 angles	cc
4	angles	angle	NOUN	Number=Plur	2 light	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	know	gerund		light and angles					vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer light=Stimulus

Option 2

Taking lots of photos much faster

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Taking	take	VERB	Tense=Pres VerbForm=Part	root	root
2	lots	lot	NOUN	Number=Plur	1 Taking	obj
3	of	of	ADP	_	4 photos	case
4	photos	photo	NOUN	Number=Plur	2 lots	nmod
5	much	much	ADV	_	6 faster	advmod
6	faster	fast	ADV	Degree=Cmp	1 Taking	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	take	gerund		lots of photos				fast property	vn bring-11.3 «NP V NP»: agent=Agent lot=Theme

Option 3

Using more and more filters

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Using	use	VERB	VerbForm=Ger	root	root
2	more	more	ADJ	Degree=Cmp	5 filters	amod
3	and	and	CCONJ	_	4 more	cc
4	more	more	ADJ	Degree=Cmp	2 more	conj
5	filters	filter	NOUN	Number=Plur	1 Using	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	use	gerund		more filters					vn eat-39.1 «NP V NP»: agent=Agent filter=Patient

Option 4

Buying the newest, priciest phone

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Buying	buy	VERB	Tense=Pres VerbForm=Part	root	root
2	the	the	DET	Definite=Def PronType=Art	3 newest	det
3	newest	new	ADJ	Degree=Sup	1 Buying	obj
4	,	,	PUNCT	_	6 phone	punct
5	priciest	pricey	ADJ	Degree=Sup	6 phone	amod
6	phone	phone	NOUN	Number=Sing	1 Buying	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	buy	gerund		the newest				priciest phone obl	vn accept-77.1 «NP V NP»: agent=Agent new=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/arts/20-photography-and-phone-cameras/t1/