Test 1 · ★ · Grimm's Fairy Tales, The Youth Who Went Forth to Learn Wha…

Bruv, them dogs in the tower, were they proper savage?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: Bruv dogs · What happens: be · To what, where: proper savage

This is test 1 · ★ of lesson 767 «Grimm's Fairy Tales, The Youth Who Went Forth to Learn What Fear Was: the youth calms the dogs, hears the frogs, and becomes Pope» 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	Bruv	Bruv	PROPN	Number=Sing	4 dogs	compound
2	,	,	PUNCT	_	1 Bruv	punct
3	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	1 Bruv	nmod
4	dogs	dog	NOUN	Number=Plur	12 savage	nsubj
5	in	in	ADP	_	7 tower	case
6	the	the	DET	Definite=Def PronType=Art	7 tower	det
7	tower	tower	NOUN	Number=Sing	4 dogs	nmod
8	,	,	PUNCT	_	4 dogs	punct
9	were	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	12 savage	cop
10	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	12 savage	nsubj
11	proper	proper	ADJ	Degree=Pos	12 savage	amod
12	savage	savage	NOUN	Number=Sing	root	root
13	?	?	PUNCT	_	12 savage	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past	Bruv dogs in the tower	proper savage					tree rules

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

Nah, they wagged their tails

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	4 wagged	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	4 wagged	nsubj
4	wagged	wag	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
5	their	their	PRON	Case=Gen Number=Plur Person=3 Poss=Yes PronType=Prs	6 tails	nmod:poss
6	tails	tail	NOUN	Number=Plur	4 wagged	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	wag	past	they	their tails					vn crane-40.3.2 «NP V NP»: agent=Agent tail=Patient

Option 2

Yeah, they went for him

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yeah	yeah	INTJ	_	4 went	discourse
2	,	,	PUNCT	_	4 went	punct
3	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	4 went	nsubj
4	went	go	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
5	for	for	ADP	_	6 him	case
6	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	4 went	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	go	past	they					for him = he	vn help-72.1-2 «NP V PP.beneficiary»: agent=Agent for he=Beneficiary

Option 3

Nah, they just sat there

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	5 sat	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	5 sat	nsubj
4	just	just	ADV	_	5 sat	advmod
5	sat	sit	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
6	there	there	ADV	PronType=Dem	5 sat	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	sit	past	they			there			vn assuming_position-50 «NP V»: agent=Agent

Option 4

Nah, not really

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	4 really	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	not	not	PART	Polarity=Neg	4 really	advmod
4	really	really	ADV	_	root	root

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/767-pg2591-part43/t1/