Exam question 1 · Reading faces and voices

Which of the following statements most accurately characterises a genuine smile?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · What happens: follow, characteris · To what, where: genuine smile

This is exam question 1 of lesson 14 «Reading faces and voices» of the everyday course of Mova's primary school, asked in stiff, formal language. 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	Which	which	PRON	PronType=Rel	8 characterises	nsubj
2	of	of	ADP	_	5 statements	case
3	the	the	DET	Definite=Def PronType=Art	5 statements	det
4	following	follow	VERB	VerbForm=Ger	5 statements	amod
5	statements	statement	NOUN	Number=Plur	8 characterises	obl
6	most	most	ADV	Degree=Sup	7 accurately	advmod
7	accurately	accurately	ADV	_	8 characterises	advmod
8	characterises	characteris	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
9	a	a	DET	Definite=Ind PronType=Art	11 smile	det
10	genuine	genuine	ADJ	Degree=Pos	11 smile	amod
11	smile	smile	NOUN	Number=Sing	8 characterises	obj
12	?	?	PUNCT	_	8 characterises	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	follow	gerund							vn occur-48.3-1 «NP V»: agent=Theme
2	characteris	present		a genuine smile				of the following statements; accurately property	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

It involves the mouth exclusively, the eyes remaining unaltered

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	2 involves	nsubj
2	involves	involve	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	the	the	DET	Definite=Def PronType=Art	4 mouth	det
4	mouth	mouth	NOUN	Number=Sing	2 involves	obj
5	exclusively	exclusively	ADV	_	2 involves	advmod
6	,	,	PUNCT	_	8 eyes	punct
7	the	the	DET	Definite=Def PronType=Art	8 eyes	det
8	eyes	eye	NOUN	Number=Plur	2 involves	conj
9	remaining	remain	VERB	VerbForm=Ger	8 eyes	acl
10	unaltered	unaltered	ADJ	Degree=Pos	9 remaining	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	involve	present	It	the mouth				exclusively property	vn involve-107.1 «NP V NP»: agent=Agent mouth=Theme
2	remain	gerund	the eyes not said here					unaltered property	vn exist-47.1 «NP V»: agent=Theme

Option 2 · ← Mova's choice · ✓ the right answer

It ordinarily causes the skin about the eyes to crinkle, and not merely the mouth

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	3 causes	nsubj
2	ordinarily	ordinarily	ADV	_	3 causes	advmod
3	causes	cause	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	the	the	DET	Definite=Def PronType=Art	5 skin	det
5	skin	skin	NOUN	Number=Sing	3 causes	obj
6	about	about	ADP	_	8 eyes	case
7	the	the	DET	Definite=Def PronType=Art	8 eyes	det
8	eyes	eye	NOUN	Number=Plur	5 skin	nmod
9	to	to	PART	_	10 crinkle	mark
10	crinkle	crinkle	VERB	VerbForm=Inf	8 eyes	acl
11	,	,	PUNCT	_	16 mouth	punct
12	and	and	CCONJ	_	16 mouth	cc
13	not	not	PART	Polarity=Neg	16 mouth	advmod
14	merely	merely	ADV	_	16 mouth	advmod
15	the	the	DET	Definite=Def PronType=Art	16 mouth	det
16	mouth	mouth	NOUN	Number=Sing	3 causes	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cause	present	It	the skin				about the eyes; the mouth obl; ordinarily property	vn engender-27.1-1 «NP V NP»: agent=Precondition skin=Patient
2	crinkle	to-infinitive							vn bend-45.2 «NP.patient V»: agent=Patient

Option 3

It causes the eyebrows to be drawn sharply together

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	2 causes	nsubj
2	causes	cause	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
3	the	the	DET	Definite=Def PronType=Art	4 eyebrows	det
4	eyebrows	eyebrow	NOUN	Number=Plur	2 causes	obj
5	to	to	PART	_	7 drawn	mark
6	be	be	AUX	VerbForm=Inf	7 drawn	aux:pass
7	drawn	draw	VERB	Tense=Past VerbForm=Part Voice=Pass	2 causes	advcl
8	sharply	sharply	ADV	_	7 drawn	advmod
9	together	together	ADV	_	7 drawn	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cause	present	It	the eyebrows					vn engender-27.1-1 «NP V NP»: agent=Precondition eyebrow=Patient
2	draw	to-infinitive · passive						sharply, together property	vn scribble-25.2-1 «NP V»

Option 4

It is invariably accompanied by laughter

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	It	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	4 accompanied	nsubj:pass
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 accompanied	aux:pass
3	invariably	invariably	ADV	_	4 accompanied	advmod
4	accompanied	accompany	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
5	by	by	ADP	_	6 laughter	case
6	laughter	laughter	NOUN	Number=Sing	4 accompanied	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	accompany	present · passive	laughter	It				invariably property	vn accompany-51.7 «NP V NP»: agent=Agent subject=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/everyday/14-faces-and-voices/e1/