Test 2 · ★ · Roumanian Tales, Petru and the Fairy of the Dawn, part 33:…

bruh, why did the dogs bark at him?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: dogs · What happens: bark

This is test 2 · ★ of lesson 1782 «Roumanian Tales, Petru and the Fairy of the Dawn, part 33: Petru reaches Venus's house, wins her trust, and sets out for the Fairy's castle» 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 bark	discourse
2	,	,	PUNCT	_	7 bark	punct
3	why	why	ADV	PronType=Int	7 bark	advmod
4	did	do	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	7 bark	aux
5	the	the	DET	Definite=Def PronType=Art	6 dogs	det
6	dogs	dog	NOUN	Number=Plur	7 bark	nsubj
7	bark	bark	VERB	Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin	root	root
8	at	at	ADP	_	9 him	case
9	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	7 bark	obl
10	?	?	PUNCT	_	7 bark	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	bark	past · do-support	the dogs					at him = he	vn animal_sounds-38 «NP V PP.stimulus»: agent=Agent at he=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 · ← Mova's choice

cause he smelled like the horse

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	cause	cause	NOUN	Number=Sing	3 smelled	nsubj
2	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	3 smelled	nsubj
3	smelled	smell	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	like	like	ADP	_	6 horse	case
5	the	the	DET	Definite=Def PronType=Art	6 horse	det
6	horse	horse	NOUN	Number=Sing	3 smelled	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	smell	past	cause					like the horse	vn smell_emission-43.3 «NP V»: agent=Theme

Option 2 · ✓ the right answer

cause he was walking in the dark

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	cause	cause	NOUN	Number=Sing	root	root
2	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	4 walking	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 walking	aux
4	walking	walk	VERB	VerbForm=Ger	1 cause	appos
5	in	in	ADP	_	7 dark	case
6	the	the	DET	Definite=Def PronType=Art	7 dark	det
7	dark	dark	NOUN	Number=Sing	4 walking	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	walk	past · progressive	he			the dark			vn run-51.3.2-2-1 «NP V PP.location»: agent=Theme in dark=Trajectory

Option 3

because he was carrying a lamp

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	because	because	SCONJ	_	4 carrying	mark
2	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	4 carrying	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 carrying	aux
4	carrying	carry	VERB	Tense=Pres VerbForm=Part	root	root
5	a	a	DET	Definite=Ind PronType=Art	6 lamp	det
6	lamp	lamp	NOUN	Number=Sing	4 carrying	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	carry	past · progressive	he	a lamp					vn carry-11.4 «NP V NP»: agent=Agent lamp=Theme

Option 4

dogs are mean

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	dogs	dog	NOUN	Number=Plur	3 mean	nsubj
2	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	3 mean	cop
3	mean	mean	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	dogs					mean 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/1782-pg641-part33/t2/