Test 9 · Kings, queens and emperors

"Victoria never smiled once, my nan said" How could you check?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: Victoria, nan, you · What happens: not smile, say, check · Speech: someone speaks here

This is test 9 of lesson 19 «Kings, queens and emperors» of the myths 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	"	"	PUNCT	_	4 smiled	punct
2	Victoria	Victoria	PROPN	Number=Sing	4 smiled	nsubj
3	never	never	ADV	PronType=Neg	4 smiled	advmod
4	smiled	smile	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
5	once	once	ADV	NumForm=Word NumType=Mult	4 smiled	advmod
6	,	,	PUNCT	_	9 said	punct
7	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	8 nan	nmod:poss
8	nan	nan	NOUN	Number=Sing	9 said	nsubj
9	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 smiled	conj
10	"	"	PUNCT	_	14 check	punct
11	How	how	ADV	PronType=Int	14 check	advmod
12	could	could	AUX	VerbForm=Fin	14 check	aux
13	you	you	PRON	Case=Nom Person=2 PronType=Prs	14 check	nsubj
14	check	check	VERB	VerbForm=Inf	9 said	ccomp
15	?	?	PUNCT	_	4 smiled	punct

#	verb	tense, mood	who	other	roles by
1	not smile in a quote	past	Victoria	once property	vn manner_speaking-37.3 «NP V»: agent=Agent
2	say speech: assert in a quote	past	my nan		vn say-37.7-1-1 «NP V how S»: agent=Agent clause=Topic
3	check	could	you		vn assessment-34.1 «NP V NP»: agent=Agent

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

Ask which colour dress she wore most often in photographs

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Ask	ask	VERB	Mood=Imp VerbForm=Fin	root	root
2	which	which	PRON	PronType=Rel	4 dress	nsubj
3	colour	colour	NOUN	Number=Sing	4 dress	compound
4	dress	dress	NOUN	Number=Sing	1 Ask	obj
5	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	6 wore	nsubj
6	wore	wear	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 dress	acl:relcl
7	most	most	ADV	Degree=Sup	8 often	advmod
8	often	often	ADV	_	6 wore	advmod
9	in	in	ADP	_	10 photographs	case
10	photographs	photograph	NOUN	Number=Plur	1 Ask	obl

#	verb	tense, mood	who	what, whom	where	other	roles by
1	ask speech: ask	imperative	you not said here		photographs		vn inquire-37.1.2 «NP V»: agent=Agent
2	dress						tree rules
3	wear	past	she	colour dress not said here		often property	vn wipe_manner-10.4.1-1 «NP V NP.theme»: agent=Agent dress=Theme

Option 2 · ← Mova's choice · ✓ the right answer

Read her diaries and letters, which show her laughing

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Read	read	VERB	Mood=Imp VerbForm=Fin	root	root
2	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	3 diaries	nmod:poss
3	diaries	diary	NOUN	Number=Plur	1 Read	obj
4	and	and	CCONJ	_	5 letters	cc
5	letters	letter	NOUN	Number=Plur	3 diaries	conj
6	,	,	PUNCT	_	8 show	punct
7	which	which	PRON	PronType=Rel	8 show	nsubj
8	show	show	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	3 diaries	acl:relcl
9	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	8 show	iobj
10	laughing	laugh	VERB	VerbForm=Ger	1 Read	xcomp

#	verb	tense, mood	who	what, whom	to whom	roles by
1	read	imperative	you not said here	her diaries and letters		tree rules
2	show	present	her diaries and letters		her = she	vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent she=Recipient
3	laugh	gerund	you not said here			vn nonverbal_expression-40.2 «NP V»: agent=Agent

Option 3

It cannot be checked at all, so just believe what your nan says

The tree, 14 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	5 checked	nsubj:pass
2	can	can	AUX	VerbForm=Fin	5 checked	aux
3	not	not	PART	Polarity=Neg	5 checked	advmod
4	be	be	AUX	VerbForm=Inf	5 checked	aux:pass
5	checked	check	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
6	at	at	ADP	_	7 all	case
7	all	all	DET	PronType=Tot	5 checked	obl
8	,	,	PUNCT	_	11 believe	punct
9	so	so	ADV	_	11 believe	advmod
10	just	just	ADV	_	11 believe	advmod
11	believe	believe	VERB	VerbForm=Inf	5 checked	conj
12	what	what	PRON	PronType=Int	15 says	obj
13	your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	14 nan	nmod:poss
14	nan	nan	NOUN	Number=Sing	15 says	nsubj
15	says	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	11 believe	ccomp

#	verb	tense, mood	who	what, whom	where	roles by
1	not check	can · passive		It	all	vn assessment-34.1 «NP V NP»: subject=Theme
2	believe	infinitive				vn admire-31.2 «NP V that S»: agent=Experiencer clause=Stimulus
3	say speech: assert	present	your nan			vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic

Option 4

Count how many smiles there are in her painted portraits

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Count	count	VERB	Mood=Imp VerbForm=Fin	root	root
2	how	how	ADV	PronType=Int	3 many	advmod
3	many	many	ADJ	Degree=Pos	4 smiles	amod
4	smiles	smile	NOUN	Number=Plur	1 Count	obj
5	there	there	PRON	PronType=Dem	6 are	expl
6	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 smiles	acl:relcl
7	in	in	ADP	_	10 portraits	case
8	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	10 portraits	nmod:poss
9	painted	paint	VERB	Tense=Past VerbForm=Part Voice=Pass	10 portraits	amod
10	portraits	portrait	NOUN	Number=Plur	1 Count	obl

#	verb	tense, mood	who	what, whom	where	roles by
1	count	imperative	you not said here	many smiles	her painted portraits	vn multiply-108 «NP V NP»: agent=Agent smile=Theme
2	paint	participle				vn image_impression-25.1 «NP V»: agent=Agent
3	portray		her = she			nom portrait «communication transitive»: poss=agent

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/myths/19-kings-queens-and-emperors/t9/