Exam question 1 · Mabinogion, Manawyddan son of Llyr, part 58: Manawyddan ca…

Upon what matter did Kieva offer her counsel regarding the captured creature?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Kieva · What happens: matter, offer, regard, capture · To what, where: counsel

This is exam question 1 of lesson 1333 «Mabinogion, Manawyddan son of Llyr, part 58: Manawyddan catches a mouse that eats his wheat, and a bishop reveals the mice are his enemy's wife» of the books course of Mova's primary school, asked in stiff, formal language. 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	Upon	upon	ADP	_	2 what	case
2	what	what	PRON	PronType=Rel	6 offer	obl
3	matter	matter	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	2 what	acl:relcl
4	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	6 offer	aux
5	Kieva	Kieva	PROPN	Number=Sing	6 offer	nsubj
6	offer	offer	VERB	VerbForm=Inf	root	root
7	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	8 counsel	nmod:poss
8	counsel	counsel	NOUN	Number=Sing	6 offer	obj
9	regarding	regard	VERB	Tense=Pres VerbForm=Part	12 creature	case
10	the	the	DET	Definite=Def PronType=Art	12 creature	det
11	captured	capture	VERB	Tense=Past VerbForm=Part Voice=Pass	12 creature	amod
12	creature	creature	NOUN	Number=Sing	6 offer	obl
13	?	?	PUNCT	_	6 offer	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	matter	present				vn matter-91 «NP V»: agent=Stimulus
2	offer	past · do-support	Kieva	Kieva's counsel	regard the captured creature	vn future_having-13.3 «NP V NP.theme (PP)»: agent=Agent counsel=Theme
3	regard	gerund				vn assessment-34.1 «NP V NP»: agent=Agent
4	capture	participle				vn steal-10.5-1 «NP V NP»: agent=Agent

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

To keep it

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 keep	mark
2	keep	keep	VERB	Mood=Imp VerbForm=Fin	root	root
3	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	2 keep	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	keep	to-infinitive		it					vn keep-15.2 «NP V NP»: agent=Agent it=Theme

Option 2

To kill it

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 kill	mark
2	kill	kill	VERB	Mood=Imp VerbForm=Fin	root	root
3	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	2 kill	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	kill	to-infinitive		it					vn remove-10.1 «NP V NP»: agent=Agent it=Theme

Option 3 · ✓ the right answer

To release it

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 release	mark
2	release	release	VERB	Mood=Imp VerbForm=Fin	root	root
3	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	2 release	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	release	to-infinitive		it					vn free-10.6.3-1 «NP V NP S_ING»: agent=Causer it=Source

Option 4

Hang it

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Hang	hang	VERB	Mood=Imp VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Hang	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	hang	imperative	you not said here	it					vn poison-42.2 «NP V NP»: agent=Agent it=Patient

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/1333-pg3454-part58/e1/