Test 1 · ★ · Peter Pan, Wendy's bedtime story, part 19: Peter asks if h…

ayy so who did Wendy say Curly looks like, fam?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: Curly · What happens: say, look · Speech: someone speaks here

This is test 1 · ★ of lesson 328 «Peter Pan, Wendy's bedtime story, part 19: Peter asks if he is only pretending to be their father, then groans at the story he hates» of the books 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	ayy	ayy	ADV	_	2 so	advmod
2	so	so	ADV	_	6 say	advmod
3	who	who	PRON	PronType=Rel	6 say	nsubj
4	did	do	AUX	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	6 say	aux
5	Wendy	Wendy	PROPN	Number=Sing	6 say	nsubj
6	say	say	VERB	VerbForm=Inf	root	root
7	Curly	Curly	PROPN	Number=Sing	8 looks	nsubj
8	looks	look	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	6 say	ccomp
9	like	like	ADP	_	11 fam	case
10	,	,	PUNCT	_	11 fam	punct
11	fam	fam	NOUN	Number=Sing	8 looks	obl
12	?	?	PUNCT	_	6 say	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past · do-support							vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
2	look	present	Curly					like fam	vn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus

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

Michael, kinda

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Michael	Michael	PROPN	Number=Sing	root	root
2	,	,	PUNCT	_	1 Michael	punct
3	kinda	kinda	ADV	_	1 Michael	advmod

The frames reader finds no event or fact in this sentence.

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

Peter, dead on

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Peter	Peter	PROPN	Number=Sing	root	root
2	,	,	PUNCT	_	1 Peter	punct
3	dead	dead	ADJ	Degree=Pos	1 Peter	amod
4	on	on	ADP	_	1 Peter	list

The frames reader finds no event or fact in this sentence.

Option 3

Peter, dead on, like a total carbon copy fr

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Peter	Peter	PROPN	Number=Sing	3 dead	nsubj
2	,	,	PUNCT	_	1 Peter	punct
3	dead	dead	ADJ	Degree=Pos	root	root
4	on	on	ADV	_	3 dead	advmod
5	,	,	PUNCT	_	11 fr	punct
6	like	like	ADP	_	11 fr	case
7	a	a	DET	Definite=Ind PronType=Art	11 fr	det
8	total	total	ADJ	Degree=Pos	10 copy	amod
9	carbon	carbon	NOUN	Number=Sing	10 copy	compound
10	copy	copy	NOUN	Number=Sing	11 fr	compound
11	fr	fr	NOUN	Number=Sing	3 dead	conj

The frames reader finds no event or fact in this sentence.

Option 4

Peter, dead on, the nose especially

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Peter	Peter	PROPN	Number=Sing	root	root
2	,	,	PUNCT	_	3 dead	punct
3	dead	dead	ADJ	Degree=Pos	1 Peter	amod
4	on	on	ADV	_	3 dead	advmod
5	,	,	PUNCT	_	7 nose	punct
6	the	the	DET	Definite=Def PronType=Art	7 nose	det
7	nose	nose	NOUN	Number=Sing	1 Peter	appos
8	especially	especially	ADV	_	7 nose	advmod

The frames reader finds no event or fact in this sentence.

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/books/328-pg16-part19/t1/