Test 2 · Spike and Tom: real dogs and cats, enemies or friends?

«my dog wagged at the cat and it whacked him?? he was being nice» What happened?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · Who acts: dog, cat · What happens: wag, whack, be, happen · To what, where: cat

This is test 2 of lesson 121 «Spike and Tom: real dogs and cats, enemies or friends?» 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	_	4 wagged	punct
2	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	3 dog	nmod:poss
3	dog	dog	NOUN	Number=Sing	4 wagged	nsubj
4	wagged	wag	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
5	at	at	ADP	_	7 cat	case
6	the	the	DET	Definite=Def PronType=Art	7 cat	det
7	cat	cat	NOUN	Number=Sing	4 wagged	obl
8	and	and	CCONJ	_	10 whacked	cc
9	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	10 whacked	nsubj
10	whacked	whack	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 wagged	conj
11	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	10 whacked	obj
12	??	??	PUNCT	_	16 nice	punct
13	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	16 nice	nsubj
14	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	16 nice	cop
15	being	be	AUX	Tense=Pres VerbForm=Part	16 nice	cop
16	nice	nice	ADJ	Degree=Pos	10 whacked	parataxis
17	»	»	PUNCT	_	16 nice	punct
18	What	what	PRON	PronType=Int	19 happened	nsubj
19	happened	happen	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	16 nice	ccomp
20	?	?	PUNCT	_	4 wagged	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	wag in a quote	past	my dog		at the cat	vn crane-40.3.2 «NP V NP»: agent=Agent
2	whack in a quote	past	dog	cat		vn hit-18.1 «NP.instrument V NP»: agent=Instrument he=Patient
3	is in a quote	past	cat		nice property	tree rules
4	happen	past				vn occur-48.3-1 «NP V»: agent=Theme

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

The cat hates all dogs, whatever they do, and always hits them

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 cat	det
2	cat	cat	NOUN	Number=Sing	3 hates	nsubj
3	hates	hate	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	all	all	DET	PronType=Tot	5 dogs	det
5	dogs	dog	NOUN	Number=Plur	3 hates	obj
6	,	,	PUNCT	_	7 whatever	punct
7	whatever	whatever	PRON	PronType=Rel	9 do	obj
8	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	9 do	nsubj
9	do	do	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	5 dogs	acl:relcl
10	,	,	PUNCT	_	13 hits	punct
11	and	and	CCONJ	_	13 hits	cc
12	always	always	ADV	PronType=Tot	13 hits	advmod
13	hits	hit	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 hates	parataxis
14	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	13 hits	obj

#	verb	tense, mood	who	what, whom	other	roles by
1	hate	present	the cat	all dogs		vn admire-31.2-1 «NP V NP»: agent=Experiencer dog=Stimulus
2	do	present	dogs = dog	whatever		vn act-114-1 «NP V NP»: agent=Agent whatever=Eventuality
3	hit	present		dogs = dog	always property	vn contiguous_location-47.8-1 «NP V NP»: agent=Theme they=Co-Theme

Option 2

The cat wanted to play

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 cat	det
2	cat	cat	NOUN	Number=Sing	3 wanted	nsubj
3	wanted	want	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	to	to	PART	_	5 play	mark
5	play	play	VERB	VerbForm=Inf	3 wanted	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	want	past	the cat						vn want-32.1-1-1 «NP V NP S_INF»: agent=Pivot clause=Theme
2	play not said to happen	to-infinitive	the cat not said here						vn performance-26.7-1 «NP V»: agent=Agent

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

A cat's swishing tail can mean cross, so they misread each other

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 cat	det
2	cat	cat	NOUN	Number=Sing	5 tail	nmod:poss
3	's	's	PART	_	2 cat	case
4	swishing	swish	VERB	Tense=Pres VerbForm=Part	5 tail	amod
5	tail	tail	NOUN	Number=Sing	7 mean	nsubj
6	can	can	AUX	VerbForm=Fin	7 mean	aux
7	mean	mean	VERB	VerbForm=Inf	root	root
8	cross	cross	ADJ	Degree=Pos	7 mean	xcomp
9	,	,	PUNCT	_	12 misread	punct
10	so	so	ADV	_	12 misread	advmod
11	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	12 misread	nsubj
12	misread	misread	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	7 mean	parataxis
13	each	each	DET	ExtPos=PRON PronType=Rcp	12 misread	obj
14	other	other	ADJ	Degree=Pos	13 each	fixed

#	verb	tense, mood	who	what, whom	other	roles by
1	swish	gerund				vn sound_emission-43.2 «NP V»: agent=Theme
2	mean	can	a cat's swishing tail		cross property	vn intend-61.2-1 «NP V S»: agent=Agent
3	misread	present	they	each		tree rules

Option 4

The dog was really angry

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 dog	det
2	dog	dog	NOUN	Number=Sing	5 angry	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 angry	cop
4	really	really	ADV	_	5 angry	advmod
5	angry	angry	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	the dog					angry property	tree rules

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/121-spike-and-tom-real-dogs-and-cats/t2/