Test 1 · ★ · Grimm's Fairy Tales, Thumbling: the cook overhears, the co…

Mate, was the cow actually talking or nah?

Mova's choice: option 2 · The right answer: option 3 · wrong ✗ · Who acts: Mate cow · What happens: be, talk · To what, where: Mate cow

This is test 1 · ★ of lesson 119 «Grimm's Fairy Tales, Thumbling: the cook overhears, the cow swallows him, and a wolf is cut open» 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	Mate	mate	NOUN	Number=Sing	5 cow	compound
2	,	,	PUNCT	_	1 Mate	punct
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 cow	cop
4	the	the	DET	Definite=Def PronType=Art	5 cow	det
5	cow	cow	NOUN	Number=Sing	7 talking	nsubj
6	actually	actually	ADV	_	7 talking	advmod
7	talking	talk	VERB	Tense=Pres VerbForm=Part	root	root
8	or	or	CCONJ	_	9 nah	cc
9	nah	nah	INTJ	_	7 talking	discourse
10	?	?	PUNCT	_	7 talking	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past		the Mate cow					tree rules
2	talk	gerund	the Mate cow					actually property	vn talk-37.5 «NP V»: 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

Nah, just a cow

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	5 cow	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	just	just	ADV	_	5 cow	advmod
4	a	a	DET	Definite=Ind PronType=Art	5 cow	det
5	cow	cow	NOUN	Number=Sing	root	root

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

Option 2 · ← Mova's choice

Yeah, she talked

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yeah	yeah	INTJ	_	4 talked	discourse
2	,	,	PUNCT	_	4 talked	punct
3	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	4 talked	nsubj
4	talked	talk	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	talk	past	she						vn talk-37.5 «NP V»: agent=Agent

Option 3 · ✓ the right answer

Nah, it was Thumbling inside her

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nah	nah	INTJ	_	5 Thumbling	discourse
2	,	,	PUNCT	_	1 Nah	punct
3	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	5 Thumbling	nsubj
4	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 Thumbling	aux
5	Thumbling	thumbl	VERB	Tense=Pres VerbForm=Part	root	root
6	inside	inside	ADP	_	7 her	case
7	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	5 Thumbling	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	thumbl	past · progressive	it					inside her = she	tree rules

Option 4

Yeah, the cow was talking proper

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yeah	yeah	INTJ	_	6 talking	discourse
2	,	,	PUNCT	_	1 Yeah	punct
3	the	the	DET	Definite=Def PronType=Art	4 cow	det
4	cow	cow	NOUN	Number=Sing	6 talking	nsubj
5	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	6 talking	aux
6	talking	talk	VERB	Tense=Pres VerbForm=Part	root	root
7	proper	proper	ADJ	Degree=Pos	6 talking	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	talk	past · progressive	the cow					proper property	vn talk-37.5 «NP V»: agent=Agent

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/119-pg11027-part22/t1/