Test 12 · ★ · Russian Fairy Tales, The Golden Mermaid: the Prince catche…

what did the mermaid do to the wounds on his forehead?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: mermaid · What happens: do

This is test 12 · ★ of lesson 1935 «Russian Fairy Tales, The Golden Mermaid: the Prince catches the mermaid, but his jealous brothers kill him and the wolf brings him back to life» 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	what	what	PRON	PronType=Int	5 do	obj
2	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 do	aux
3	the	the	DET	Definite=Def PronType=Art	4 mermaid	det
4	mermaid	mermaid	NOUN	Number=Sing	5 do	nsubj
5	do	do	VERB	VerbForm=Inf	root	root
6	to	to	ADP	_	8 wounds	case
7	the	the	DET	Definite=Def PronType=Art	8 wounds	det
8	wounds	wound	NOUN	Number=Plur	5 do	obl
9	on	on	ADP	_	11 forehead	case
10	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	11 forehead	nmod:poss
11	forehead	forehead	NOUN	Number=Sing	8 wounds	nmod
12	?	?	PUNCT	_	5 do	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	past · do-support	the mermaid					to the wounds on mermaid's forehead	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

she bandaged them

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 bandaged	nsubj
2	bandaged	bandage	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	2 bandaged	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	bandage	past	she	them = they					vn fill-9.8 «NP V NP.destination»: agent=Agent they=Destination

Option 2

she cried

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 cried	nsubj
2	cried	cry	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cry speech: express	past	she						vn manner_speaking-37.3 «NP V»: agent=Agent

Option 3 · ✓ the right answer

she kissed them gently

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 kissed	nsubj
2	kissed	kiss	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	2 kissed	obj
4	gently	gently	ADV	_	2 kissed	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	kiss	past	she	them = they				gently property	vn marry-36.2 «NP V NP»: agent=Agent they=Co-Agent

Option 4

she licked them clean

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 licked	nsubj
2	licked	lick	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	2 licked	obj
4	clean	clean	ADJ	Degree=Pos	2 licked	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	lick	past	she	them = they				clean property	vn wipe_manner-10.4.1-1 «NP V NP.source»: agent=Agent they=Source

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/1935-pg7277-part72/t12/