Test 8 · ★ · Andersen's Fairy Tales, The Ice Maiden, part 74: Rudy and…

which mountain looked like a full moon at sunset?

Mova's choice: option 4 · The right answer: option 3 · wrong ✗ · Who acts: mountain · What happens: look

This is test 8 · ★ of lesson 863 «Andersen's Fairy Tales, The Ice Maiden, part 74: Rudy and Babette near their wedding, then their boat drifts away» 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	which	which	DET	PronType=Int	2 mountain	det
2	mountain	mountain	NOUN	Number=Sing	3 looked	nsubj
3	looked	look	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	like	like	ADP	_	7 moon	case
5	a	a	DET	Definite=Ind PronType=Art	7 moon	det
6	full	full	ADJ	Degree=Pos	7 moon	amod
7	moon	moon	NOUN	Number=Sing	3 looked	obl
8	at	at	ADP	_	9 sunset	case
9	sunset	sunset	NOUN	Number=Sing	3 looked	obl
10	?	?	PUNCT	_	3 looked	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	look	past	which mountain				sunset	like a full moon	vn stimulus_subject-30.4 «NP V PP.attribute»: agent=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

The Matterhorn, that tall rocky ridge

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 Matterhorn	det
2	Matterhorn	Matterhorn	PROPN	Number=Sing	root	root
3	,	,	PUNCT	_	7 ridge	punct
4	that	that	PRON	Number=Sing PronType=Dem	7 ridge	nsubj
5	tall	tall	ADJ	Degree=Pos	7 ridge	amod
6	rocky	rocky	ADJ	Degree=Pos	7 ridge	amod
7	ridge	ridge	NOUN	Number=Sing	2 Matterhorn	appos

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	ridge		that						tree rules

Option 2

The Dent du Midi, that snowy peak above the lake, glowing like a moon

The tree, 14 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 Dent	det
2	Dent	dent	NOUN	Number=Sing	root	root
3	du	du	ADP	_	4 Midi	case
4	Midi	Midi	PROPN	Number=Sing	2 Dent	nmod
5	,	,	PUNCT	_	8 peak	punct
6	that	that	PRON	Number=Sing PronType=Dem	8 peak	nsubj
7	snowy	snowy	ADJ	Degree=Pos	8 peak	amod
8	peak	peak	NOUN	Number=Sing	2 Dent	conj
9	above	above	ADP	_	11 lake	case
10	the	the	DET	Definite=Def PronType=Art	11 lake	det
11	lake	lake	NOUN	Number=Sing	8 peak	nmod
12	,	,	PUNCT	_	13 glowing	punct
13	glowing	glow	VERB	VerbForm=Ger	2 Dent	acl
14	like	like	ADP	_	16 moon	case
15	a	a	DET	Definite=Ind PronType=Art	16 moon	det
16	moon	moon	NOUN	Number=Sing	13 glowing	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	peak		that			the lake			tree rules
2	glow	gerund	the Dent du Midi and snowy peak not said here					like a moon	vn light_emission-43.1 «NP V»: agent=Theme

Option 3 · ✓ the right answer

The Dent du Midi, that snowy peak

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 Dent	det
2	Dent	dent	NOUN	Number=Sing	root	root
3	du	du	ADP	_	4 Midi	case
4	Midi	Midi	PROPN	Number=Sing	2 Dent	nmod
5	,	,	PUNCT	_	8 peak	punct
6	that	that	PRON	Number=Sing PronType=Dem	8 peak	nsubj
7	snowy	snowy	ADJ	Degree=Pos	8 peak	amod
8	peak	peak	NOUN	Number=Sing	2 Dent	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	peak		that						tree rules

Option 4 · ← Mova's choice

Mont Blanc

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Mont	Mont	PROPN	Number=Sing	root	root
2	Blanc	Blanc	PROPN	Number=Sing	1 Mont	flat

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/863-pg27200-part74/t8/