Exam question 3 · The Blue Fairy Book, Princess Cabbage-Stalk, part 53: Cabb…

Which of the following best describes the transformation of the Princess at the river?

Mova's choice: option 4 · The right answer: option 3 · wrong ✗ · What happens: follow, describe, transform · To what, where: transformation, river, Princess

This is exam question 3 of lesson 1556 «The Blue Fairy Book, Princess Cabbage-Stalk, part 53: Cabbage-Stalk becomes Sunbeam, and a sleepy princess meets a shepherd» 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	Which	which	PRON	PronType=Rel	6 describes	obj
2	of	of	ADP	_	5 best	case
3	the	the	DET	Definite=Def PronType=Art	5 best	det
4	following	follow	VERB	Tense=Pres VerbForm=Part	5 best	case
5	best	good	ADJ	Degree=Sup	6 describes	nmod
6	describes	describe	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
7	the	the	DET	Definite=Def PronType=Art	8 transformation	det
8	transformation	transformation	NOUN	Number=Sing	6 describes	obj
9	of	of	ADP	_	11 Princess	case
10	the	the	DET	Definite=Def PronType=Art	11 Princess	det
11	Princess	Princess	PROPN	Number=Sing	8 transformation	nmod
12	at	at	ADP	_	14 river	case
13	the	the	DET	Definite=Def PronType=Art	14 river	det
14	river	river	NOUN	Number=Sing	8 transformation	nmod
15	?	?	PUNCT	_	6 describes	punct

#	verb	tense, mood	what, whom	where	other	roles by
1	follow	gerund				vn occur-48.3-1 «NP V»: agent=Theme
2	describe	present	the transformation of the Princess	the river	of the best	tree rules
3	transform		the Princess	the river		nom transformation «event transitive»: of=patient at=place

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

She became small and sad, forgetting her name

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 became	nsubj
2	became	become	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	small	small	ADJ	Degree=Pos	2 became	xcomp
4	and	and	CCONJ	_	5 sad	cc
5	sad	sad	ADJ	Degree=Pos	3 small	conj
6	,	,	PUNCT	_	7 forgetting	punct
7	forgetting	forget	VERB	Tense=Pres VerbForm=Part	2 became	advcl
8	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	9 name	nmod:poss
9	name	name	NOUN	Number=Sing	7 forgetting	obj

#	verb	tense, mood	who	what, whom	other	roles by
1	become	past	She		small property	vn become-109.1-1-1 «NP V PP.attribute»: agent=Patient
2	forget	gerund	She not said here	her name		tree rules
3	name		her = she			nom name «communication transitive»: poss=agent

Option 2

She turned into a swan at last

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 turned	nsubj
2	turned	turn	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	into	into	ADP	_	5 swan	case
4	a	a	DET	Definite=Ind PronType=Art	5 swan	det
5	swan	swan	NOUN	Number=Sing	2 turned	obl
6	at	at	ADP	_	7 last	case
7	last	last	ADJ	Degree=Pos	2 turned	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	turn	past	She			a swan		at last	vn roll-51.3.1 «NP.theme V PP.source PP.trajectory PP.destination»: agent=Theme into swan=Source at last=Trajectory

Option 3 · ✓ the right answer

She became tall and beautiful, with a new name

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 became	nsubj
2	became	become	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	tall	tall	ADJ	Degree=Pos	2 became	xcomp
4	and	and	CCONJ	_	5 beautiful	cc
5	beautiful	beautiful	ADJ	Degree=Pos	3 tall	conj
6	,	,	PUNCT	_	10 name	punct
7	with	with	ADP	_	10 name	case
8	a	a	DET	Definite=Ind PronType=Art	10 name	det
9	new	new	ADJ	Degree=Pos	10 name	amod
10	name	name	NOUN	Number=Sing	2 became	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	become	past	She					with a new name; tall property	vn become-109.1-1-1 «NP V PP.attribute»: agent=Patient

Option 4 · ← Mova's choice

She grew wings and flew away

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 grew	nsubj
2	grew	grow	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	wings	wing	NOUN	Number=Plur	2 grew	obj
4	and	and	CCONJ	_	5 flew	cc
5	flew	fly	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	2 grew	conj
6	away	away	ADV	_	5 flew	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	grow	past	She	wings					vn appear-48.1.1 «PP.location V NP»: agent=Location wing=Theme
2	fly away	past	She not said here					away property	vn spatial_configuration-47.6-1 «NP V»: agent=Theme

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/1556-pg540-part53/e3/