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Test 5 · ★★★ · The future: fears, rules and your part

In a cartoon, a robot teacher hugs a crying child and makes everything better. What would Lily's teacher say?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: robot teacher, teacher · What happens: hug, cry, make, say · To what, where: crying child, cartoon, everything · Speech: someone speaks here

This is test 5 · ★★★ of lesson 25 «The future: fears, rules and your part» of the AI 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

Sentence 1: In a cartoon, a robot teacher hugs a crying child and makes everything better.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	In	in	ADP	_	3 cartoon	case
2	a	a	DET	Definite=Ind PronType=Art	3 cartoon	det
3	cartoon	cartoon	NOUN	Number=Sing	8 hugs	obl
4	,	,	PUNCT	_	3 cartoon	punct
5	a	a	DET	Definite=Ind PronType=Art	7 teacher	det
6	robot	robot	NOUN	Number=Sing	7 teacher	compound
7	teacher	teacher	NOUN	Number=Sing	8 hugs	nsubj
8	hugs	hug	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
9	a	a	DET	Definite=Ind PronType=Art	11 child	det
10	crying	cry	VERB	VerbForm=Ger	11 child	amod
11	child	child	NOUN	Number=Sing	8 hugs	obj
12	and	and	CCONJ	_	13 makes	cc
13	makes	make	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	8 hugs	conj
14	everything	everything	PRON	Number=Sing PronType=Tot	13 makes	obj
15	better	good	ADJ	Degree=Cmp	13 makes	xcomp
16	.	.	PUNCT	_	8 hugs	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	hug	present	a robot teacher	a crying child		a cartoon			vn marry-36.2 «NP V NP»: agent=Agent child=Co-Agent
2	cry speech: express	gerund							vn manner_speaking-37.3 «NP V»: agent=Agent
3	make	present	a robot teacher not said here	everything				good property	vn build-26.1-1 «NP.asset V NP»: agent=Asset everything=Product

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.

Sentence 2: What would Lily's teacher say?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	6 say	obj
2	would	would	AUX	VerbForm=Fin	6 say	aux
3	Lily	Lily	PROPN	Number=Sing	5 teacher	nmod:poss
4	's	's	PART	_	3 Lily	case
5	teacher	teacher	NOUN	Number=Sing	6 say	nsubj
6	say	say	VERB	VerbForm=Inf	root	root
7	?	?	PUNCT	_	6 say	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	would	Lily's teacher						vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic

The options

Option 1 · ← Mova's choice

Robots are better at hugs than people

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Robots	robot	NOUN	Number=Plur	3 better	nsubj
2	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	3 better	cop
3	better	good	ADJ	Degree=Cmp	root	root
4	at	at	ADP	_	5 hugs	case
5	hugs	hug	NOUN	Number=Plur	3 better	obl
6	than	than	ADP	_	7 people	case
7	people	people	NOUN	Number=Plur	3 better	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	Robots			hugs		than people; good property	tree rules

Option 2

Cartoons show what all schools are like now

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Cartoons	cartoon	NOUN	Number=Plur	2 show	nsubj
2	show	show	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
3	what	what	PRON	PronType=Int	2 show	obj
4	all	all	DET	PronType=Tot	5 schools	det
5	schools	school	NOUN	Number=Plur	3 what	nsubj
6	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	3 what	cop
7	like	like	ADP	_	8 now	case
8	now	now	ADV	PronType=Dem	3 what	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	show	present	Cartoons						vn transfer_mesg-37.1.1-1-1 «NP V»: agent=Agent
2	is a	present	all schools						tree rules

Option 3 · ✓ the right answer

Real caring and comfort come from people

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Real	real	ADJ	Degree=Pos	2 caring	amod
2	caring	caring	NOUN	Number=Sing	5 come	nsubj
3	and	and	CCONJ	_	4 comfort	cc
4	comfort	comfort	NOUN	Number=Sing	2 caring	conj
5	come	come	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
6	from	from	ADP	_	7 people	case
7	people	people	NOUN	Number=Plur	5 come	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	come	present	Real caring and comfort					from people	vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme from people=Initial_Location

Option 4

Children don't need comfort at school

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Children	child	NOUN	Number=Plur	4 need	nsubj
2	do	do	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	4 need	aux
3	n't	not	PART	Polarity=Neg	4 need	advmod
4	need	need	VERB	VerbForm=Inf	root	root
5	comfort	comfort	NOUN	Number=Sing	4 need	obj
6	at	at	ADP	_	7 school	case
7	school	school	NOUN	Number=Sing	4 need	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not need	present · do-support	Children	comfort		school			vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot comfort=Theme

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/ai/25-future-fears-rules/t5/