Test 5 · ★ · Grimm's Fairy Tales, The Dragon's Grandmother: the soldier…

So what was the roast meat then, the sea-cat thing?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · What happens: be · To what, where: roast meat

This is test 5 · ★ of lesson 1687 «Grimm's Fairy Tales, The Dragon's Grandmother: the soldiers trick the Dragon with the answer to his riddle» 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	So	so	ADV	_	2 what	advmod
2	what	what	PRON	PronType=Int	6 meat	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	6 meat	cop
4	the	the	DET	Definite=Def PronType=Art	6 meat	det
5	roast	roast	NOUN	Number=Sing	6 meat	compound
6	meat	meat	NOUN	Number=Sing	root	root
7	then	then	ADV	PronType=Dem	6 meat	advmod
8	,	,	PUNCT	_	13 thing	punct
9	the	the	DET	Definite=Def PronType=Art	13 thing	det
10	sea	sea	NOUN	Number=Sing	12 cat	compound
11	-	-	PUNCT	_	10 sea	punct
12	cat	cat	NOUN	Number=Sing	13 thing	compound
13	thing	thing	NOUN	Number=Sing	6 meat	conj
14	?	?	PUNCT	_	6 meat	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past		the roast meat and the cat thing			then		tree rules

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

A large sea-cat from the North Sea, cooked over a fire of driftwood for the Dragon's table

The tree, 19 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	5 cat	det
2	large	large	ADJ	Degree=Pos	5 cat	amod
3	sea	sea	NOUN	Number=Sing	5 cat	compound
4	-	-	PUNCT	_	3 sea	punct
5	cat	cat	NOUN	Number=Sing	root	root
6	from	from	ADP	_	9 Sea	case
7	the	the	DET	Definite=Def PronType=Art	9 Sea	det
8	North	North	PROPN	Number=Sing	9 Sea	compound
9	Sea	Sea	PROPN	Number=Sing	5 cat	nmod
10	,	,	PUNCT	_	11 cooked	punct
11	cooked	cook	VERB	Tense=Past VerbForm=Part Voice=Pass	5 cat	acl
12	over	over	ADP	_	14 fire	case
13	a	a	DET	Definite=Ind PronType=Art	14 fire	det
14	fire	fire	NOUN	Number=Sing	11 cooked	obl
15	of	of	ADP	_	16 driftwood	case
16	driftwood	driftwood	NOUN	Number=Sing	14 fire	nmod
17	for	for	ADP	_	21 table	case
18	the	the	DET	Definite=Def PronType=Art	19 Dragon	det
19	Dragon	Dragon	PROPN	Number=Sing	21 table	nmod:poss
20	's	's	PART	_	19 Dragon	case
21	table	table	NOUN	Number=Sing	11 cooked	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cook	participle		a large sea cat from the North Sea not said here		a fire of driftwood		for the Dragon's table	vn build-26.1 «NP V NP PP.beneficiary»: agent=Agent for table=Beneficiary
2	fire			driftwood					nom fire «event transitive»: of=patient

Option 2

A dead sea-cat that the soldiers had found washed up on the North Sea shore at dawn

The tree, 18 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	5 cat	det
2	dead	dead	ADJ	Degree=Pos	5 cat	amod
3	sea	sea	NOUN	Number=Sing	5 cat	compound
4	-	-	PUNCT	_	3 sea	punct
5	cat	cat	NOUN	Number=Sing	root	root
6	that	that	PRON	PronType=Rel	10 found	nsubj:pass
7	the	the	DET	Definite=Def PronType=Art	8 soldiers	det
8	soldiers	soldier	NOUN	Number=Plur	10 found	nsubj
9	had	have	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	10 found	aux
10	found	find	VERB	Tense=Past VerbForm=Part Voice=Pass	5 cat	acl:relcl
11	washed	wash	VERB	Tense=Past VerbForm=Part Voice=Pass	10 found	xcomp
12	up	up	ADP	_	11 washed	compound:prt
13	on	on	ADP	_	17 shore	case
14	the	the	DET	Definite=Def PronType=Art	17 shore	det
15	North	North	PROPN	Number=Sing	16 Sea	compound
16	Sea	Sea	PROPN	Number=Sing	17 shore	compound
17	shore	shore	NOUN	Number=Sing	11 washed	obl
18	at	at	ADP	_	19 dawn	case
19	dawn	dawn	NOUN	Number=Sing	17 shore	nmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	find	past · perfect · passive		a dead sea cat					vn declare-29.4-1-1 «NP V NP ADJ»: subject=Attribute clause=Theme
2	wash up	participle	a dead sea cat not said here			the Sea shore at dawn			vn floss-41.2.1 «NP V»: agent=Agent

Option 3 · ← Mova's choice · ✓ the right answer

A dead sea-cat from the North Sea

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	5 cat	det
2	dead	dead	ADJ	Degree=Pos	5 cat	amod
3	sea	sea	NOUN	Number=Sing	5 cat	compound
4	-	-	PUNCT	_	3 sea	punct
5	cat	cat	NOUN	Number=Sing	root	root
6	from	from	ADP	_	9 Sea	case
7	the	the	DET	Definite=Def PronType=Art	9 Sea	det
8	North	North	PROPN	Number=Sing	9 Sea	compound
9	Sea	Sea	PROPN	Number=Sing	5 cat	nmod

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

Option 4

A seal caught near the old harbour

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 seal	det
2	seal	seal	NOUN	Number=Sing	root	root
3	caught	catch	VERB	Tense=Past VerbForm=Part Voice=Pass	2 seal	acl
4	near	near	ADP	_	7 harbour	case
5	the	the	DET	Definite=Def PronType=Art	7 harbour	det
6	old	old	ADJ	Degree=Pos	7 harbour	amod
7	harbour	harbour	NOUN	Number=Sing	3 caught	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	catch	participle		a seal not said here		the old harbour			vn get-13.5.1 «NP V NP»: 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/1687-pg640-part11/t5/