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Test 4 · ★ · Reading faces and voices

Grandma cries at your school concert and then hugs you tightly. What is most likely?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: Grandma · What happens: cry, hug, be · To what, where: school concert, you

This is test 4 · ★ of lesson 14 «Reading faces and voices» of the everyday 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: Grandma cries at your school concert and then hugs you tightly.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Grandma	grandma	NOUN	Number=Sing	2 cries	nsubj
2	cries	cry	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	at	at	ADP	_	6 concert	case
4	your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	6 concert	nmod:poss
5	school	school	NOUN	Number=Sing	6 concert	compound
6	concert	concert	NOUN	Number=Sing	2 cries	obl
7	and	and	CCONJ	_	9 hugs	cc
8	then	then	ADV	PronType=Dem	9 hugs	advmod
9	hugs	hug	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	2 cries	conj
10	you	you	PRON	Case=Acc Person=2 PronType=Prs	9 hugs	obj
11	tightly	tightly	ADV	_	9 hugs	advmod
12	.	.	PUNCT	_	2 cries	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cry speech: express	present	Grandma			your school concert			vn sound_emission-43.2 «NP V PP.location»: agent=Theme at concert=Location
2	hug	present	Grandma not said here	you			then	tightly property	vn marry-36.2 «NP V NP»: agent=Agent you=Co-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.

Sentence 2: What is most likely?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	4 likely	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 likely	cop
3	most	most	ADV	Degree=Sup	4 likely	advmod
4	likely	likely	ADV	_	root	root
5	?	?	PUNCT	_	4 likely	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present						likely property	tree rules

The options

Option 1 · ← Mova's choice

She is hurt and needs a doctor

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	3 hurt	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 hurt	aux:pass
3	hurt	hurt	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
4	and	and	CCONJ	_	5 needs	cc
5	needs	need	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 hurt	conj
6	a	a	DET	Definite=Ind PronType=Art	7 doctor	det
7	doctor	doctor	NOUN	Number=Sing	5 needs	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	hurt	present · passive		She					vn hurt-40.8.3-2 «NP V NP»: subject=Patient
2	need	present		a doctor					vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot doctor=Theme

Option 2 · ✓ the right answer

She is happy and proud

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	3 happy	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 happy	cop
3	happy	happy	ADJ	Degree=Pos	root	root
4	and	and	CCONJ	_	5 proud	cc
5	proud	proud	ADJ	Degree=Pos	3 happy	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	She					happy property	tree rules
2	be		She not said here						tree rules

Option 3

She did not like the music

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	4 like	nsubj
2	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 like	aux
3	not	not	PART	Polarity=Neg	4 like	advmod
4	like	like	VERB	VerbForm=Inf	root	root
5	the	the	DET	Definite=Def PronType=Art	6 music	det
6	music	music	NOUN	Number=Sing	4 like	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not like	past · do-support	She	the music					vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot music=Theme

Option 4

She is upset with you

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	3 upset	nsubj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 upset	cop
3	upset	upset	ADJ	Degree=Pos	root	root
4	with	with	ADP	_	5 you	case
5	you	you	PRON	Case=Acc Person=2 PronType=Prs	3 upset	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	She					with you; upset 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/everyday/14-faces-and-voices/t4/