Test 5 · ★ · Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks…

Mad, what did Red-Cap say about granny's ears?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Red · What happens: say · Speech: someone speaks here

This is test 5 · ★ of lesson 746 «Grimm's Fairy Tales, Little Red-Cap, part 1: a wolf tricks Red-Cap off the path and eats her grandmother» 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	Mad	mad	ADJ	Degree=Pos	root	root
2	,	,	PUNCT	_	8 say	punct
3	what	what	PRON	PronType=Int	8 say	obj
4	did	do	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	8 say	aux
5	Red	Red	PROPN	Number=Sing	8 say	nsubj
6	-	-	PUNCT	_	7 Cap	punct
7	Cap	Cap	PROPN	Number=Sing	5 Red	conj
8	say	say	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	1 Mad	parataxis
9	about	about	ADP	_	12 ears	case
10	granny	granny	NOUN	Number=Sing	12 ears	nmod:poss
11	's	's	PART	_	10 granny	case
12	ears	ear	NOUN	Number=Plur	8 say	obl
13	?	?	PUNCT	_	1 Mad	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past · do-support	Red and Cap					about granny's ears	vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic

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

were big

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	were	be	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	big	big	ADJ	Degree=Pos	1 were	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	be	past						big property	vn exist-47.1 «NP V»: agent=Theme

Option 2

they were long

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	3 long	nsubj
2	were	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 long	cop
3	long	long	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	they					long property	tree rules

Option 3 · ✓ the right answer

they were big

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	3 big	nsubj
2	were	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 big	cop
3	big	big	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	they					big property	tree rules

Option 4

they were furry

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	3 furry	nsubj
2	were	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 furry	cop
3	furry	furry	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	they					furry property	tree rules

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/746-pg2591-part22/t5/