Test 3 · ★ · Breton Tales, Tephany, part 53: a fairy gives Tephany thre…

bruh, what did the feather do to her?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: feather · What happens: do · To what, where: her

This is test 3 · ★ of lesson 1328 «Breton Tales, Tephany, part 53: a fairy gives Tephany three magic gifts, and she grows vain and sharp» 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	bruh	bruh	INTJ	_	7 do	discourse
2	,	,	PUNCT	_	1 bruh	punct
3	what	what	PRON	PronType=Int	7 do	obj
4	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	7 do	aux
5	the	the	DET	Definite=Def PronType=Art	6 feather	det
6	feather	feather	NOUN	Number=Sing	7 do	nsubj
7	do	do	VERB	VerbForm=Inf	root	root
8	to	to	ADP	_	9 her	case
9	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	7 do	obl
10	?	?	PUNCT	_	7 do	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	past · do-support	the feather		her = she				vn act-114-1 «NP V NP»: agent=Agent what=Eventuality

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 · ← Mova's choice · ✓ the right answer

made her super smart like Solomon

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	made	make	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	1 made	obj
3	super	super	ADV	_	4 smart	advmod
4	smart	smart	ADJ	Degree=Pos	1 made	xcomp
5	like	like	ADP	_	6 Solomon	case
6	Solomon	Solomon	PROPN	Number=Sing	4 smart	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	past		her = she				smart property	vn build-26.1-1 «NP.asset V NP»: agent=Asset she=Product

Option 2

made her smart

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	made	make	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	1 made	obj
3	smart	smart	ADJ	Degree=Pos	1 made	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	past		her = she				smart property	vn build-26.1-1 «NP.asset V NP»: agent=Asset she=Product

Option 3

made her pretty

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	made	make	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	1 made	obj
3	pretty	pretty	ADV	_	1 made	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	past		her = she				pretty property	vn build-26.1-1 «NP.asset V NP»: agent=Asset she=Product

Option 4

gave her big brains like a priest

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	gave	give	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	1 gave	iobj
3	big	big	ADJ	Degree=Pos	4 brains	amod
4	brains	brain	NOUN	Number=Plur	1 gave	obj
5	like	like	ADP	_	7 priest	case
6	a	a	DET	Definite=Ind PronType=Art	7 priest	det
7	priest	priest	NOUN	Number=Sing	4 brains	nmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	give	past		big brains	her = she			like a priest	vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent she=Recipient brain=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/books/1328-pg3454-part53/t3/