Test 10 · ★ · Tom and Jerry: do real cats really chase mice?

«Jerry, Mickey Mouse and Speedy Gonzales all walk on 2 legs, so 3 real mice would have how many legs?»

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: Jerry, 3 real mice · What happens: walk, have · To what, where: 2 legs, many legs

This is test 10 · ★ of lesson 118 «Tom and Jerry: do real cats really chase mice?» of the biology 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	«	«	PUNCT	_	2 Jerry	punct
2	Jerry	Jerry	PROPN	Number=Sing	10 walk	nsubj
3	,	,	PUNCT	_	5 Mouse	punct
4	Mickey	mickey	NOUN	Number=Sing	5 Mouse	compound
5	Mouse	mouse	NOUN	Number=Sing	2 Jerry	appos
6	and	and	CCONJ	_	8 Gonzales	cc
7	Speedy	speedy	ADJ	Degree=Pos	8 Gonzales	amod
8	Gonzales	Gonzales	PROPN	Number=Sing	5 Mouse	conj
9	all	all	DET	PronType=Tot	10 walk	det
10	walk	walk	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
11	on	on	ADP	_	13 legs	case
12	2	2	NUM	NumForm=Digit NumType=Card	13 legs	nummod
13	legs	leg	NOUN	Number=Plur	10 walk	obl
14	,	,	PUNCT	_	20 have	punct
15	so	so	ADV	_	20 have	advmod
16	3	3	NUM	NumForm=Digit NumType=Card	18 mice	nummod
17	real	real	ADJ	Degree=Pos	18 mice	amod
18	mice	mouse	NOUN	Number=Plur	20 have	nsubj
19	would	would	AUX	VerbForm=Fin	20 have	aux
20	have	have	VERB	VerbForm=Inf	10 walk	conj
21	how	how	ADV	PronType=Int	22 many	advmod
22	many	many	ADJ	Degree=Pos	23 legs	amod
23	legs	leg	NOUN	Number=Plur	20 have	obj
24	?	?	PUNCT	_	10 walk	punct
25	»	»	PUNCT	_	10 walk	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	walk in a quote	present	Jerry			2 legs			vn run-51.3.2-2-1 «NP V PP.location»: agent=Theme on leg=Trajectory
2	have in a quote	would	3 real mice	many legs					vn birth-28.2-1 «NP V NP»: agent=Agent leg=Patient

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 · ✓ the right answer

12, four legs each

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	12	12	NUM	NumForm=Digit NumType=Card	4 legs	nummod
2	,	,	PUNCT	_	3 four	punct
3	four	four	NUM	NumForm=Word NumType=Card	1 12	conj
4	legs	leg	NOUN	Number=Plur	root	root
5	each	each	DET	PronType=Tot	4 legs	nmod:unmarked

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

Option 2

6, two legs each

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	6	6	NUM	NumForm=Digit NumType=Card	root	root
2	,	,	PUNCT	_	4 legs	punct
3	two	two	NUM	NumForm=Word NumType=Card	4 legs	nummod
4	legs	leg	NOUN	Number=Plur	1 6	conj
5	each	each	DET	PronType=Tot	1 6	nmod:unmarked

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

Option 3

9, three legs each

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	9	9	NUM	NumForm=Digit NumType=Card	root	root
2	,	,	PUNCT	_	4 legs	punct
3	three	three	NUM	NumForm=Word NumType=Card	4 legs	nummod
4	legs	leg	NOUN	Number=Plur	1 9	conj
5	each	each	DET	PronType=Tot	1 9	advmod

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

Option 4

3, one leg each

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	3	3	NUM	NumForm=Digit NumType=Card	root	root
2	,	,	PUNCT	_	4 leg	punct
3	one	one	NUM	NumForm=Word NumType=Card	4 leg	nummod
4	leg	leg	NOUN	Number=Sing	1 3	appos
5	each	each	DET	PronType=Tot	1 3	advmod

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/biology/118-tom-and-jerry-do-real-cats-chase-mice/t10/