Test 1 · ★ · Andersen's Fairy Tales, The Tinder-Box: the flour trail, t…

Oi, did u see the dogs in that tale??

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Oi · What happens: see · To what, where: dogs, tale

This is test 1 · ★ of lesson 1003 «Andersen's Fairy Tales, The Tinder-Box: the flour trail, the three dogs and the soldier's escape» 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	Oi	oi	NOUN	Number=Plur	5 see	nsubj
2	,	,	PUNCT	_	1 Oi	punct
3	did	do	AUX	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	5 see	aux
4	u	you	PRON	Abbr=Yes Case=Nom Person=2 PronType=Prs	5 see	nsubj
5	see	see	VERB	VerbForm=Inf	root	root
6	the	the	DET	Definite=Def PronType=Art	7 dogs	det
7	dogs	dog	NOUN	Number=Plur	5 see	obj
8	in	in	ADP	_	10 tale	case
9	that	that	DET	Number=Sing PronType=Dem	10 tale	det
10	tale	tale	NOUN	Number=Sing	5 see	obl
11	??	??	PUNCT	_	5 see	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	see	past · do-support	Oi	the dogs		that tale			vn comprehend-87.2-1-1 «NP V NP»: agent=Experiencer dog=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

Nah, no dogs at all

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	4 dogs	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	no	no	DET	PronType=Neg	4 dogs	det
4	dogs	dog	NOUN	Number=Plur	root	root
5	at	at	ADP	_	6 all	case
6	all	all	DET	PronType=Tot	4 dogs	nmod

The frames reader finds no event or fact in this sentence.

Option 2

Yeah, three of them

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yeah	yeah	INTJ	_	3 three	discourse
2	,	,	PUNCT	_	3 three	punct
3	three	three	NUM	NumForm=Word NumType=Card	root	root
4	of	of	ADP	_	5 them	case
5	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	3 three	nmod

The frames reader finds no event or fact in this sentence.

Option 3 · ✓ the right answer

Yeah, three massive ones, one with eyes like towers

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yeah	yeah	INTJ	_	5 ones	discourse
2	,	,	PUNCT	_	5 ones	punct
3	three	three	NUM	NumForm=Word NumType=Card	5 ones	nummod
4	massive	massive	ADJ	Degree=Pos	5 ones	amod
5	ones	one	NOUN	Number=Plur	root	root
6	,	,	PUNCT	_	7 one	punct
7	one	one	NUM	NumForm=Word NumType=Card	5 ones	appos
8	with	with	ADP	_	9 eyes	case
9	eyes	eye	NOUN	Number=Plur	7 one	nmod
10	like	like	ADP	_	11 towers	case
11	towers	tower	NOUN	Number=Plur	9 eyes	nmod

The frames reader finds no event or fact in this sentence.

Option 4

Yeah, three big ones, and one had really huge pointy ears

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yeah	yeah	INTJ	_	5 ones	discourse
2	,	,	PUNCT	_	5 ones	punct
3	three	three	NUM	NumForm=Word NumType=Card	5 ones	nummod
4	big	big	ADJ	Degree=Pos	5 ones	amod
5	ones	one	NOUN	Number=Plur	root	root
6	,	,	PUNCT	_	9 had	punct
7	and	and	CCONJ	_	9 had	cc
8	one	one	NUM	NumForm=Word NumType=Card	9 had	nsubj
9	had	have	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 ones	parataxis
10	really	really	ADV	_	11 huge	advmod
11	huge	huge	ADJ	Degree=Pos	13 ears	amod
12	pointy	pointy	ADJ	Degree=Pos	13 ears	amod
13	ears	ear	NOUN	Number=Plur	9 had	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	have	past	one	huge pointy ears					vn birth-28.2-1 «NP V NP»: agent=Agent ear=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/1003-pg27200-part214/t1/