Test 7 · ★ · Reading faces and voices

Which signs show someone may be nervous?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: signs, someone · What happens: show, be · Speech: someone speaks here

This is test 7 · ★ 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

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Which	which	DET	PronType=Int	2 signs	det
2	signs	sign	NOUN	Number=Plur	3 show	nsubj
3	show	show	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	someone	someone	PRON	Number=Sing PronType=Ind	7 nervous	nsubj
5	may	may	AUX	VerbForm=Fin	7 nervous	aux
6	be	be	AUX	VerbForm=Inf	7 nervous	cop
7	nervous	nervous	ADJ	Degree=Pos	3 show	ccomp
8	?	?	PUNCT	_	3 show	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	show	present	which signs						vn transfer_mesg-37.1.1-1-1 «NP V»: agent=Agent
2	is	may	someone					nervous 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 · ← Mova's choice · ✓ the right answer

A shaky voice and fidgeting hands

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 voice	det
2	shaky	shaky	ADJ	Degree=Pos	3 voice	amod
3	voice	voice	NOUN	Number=Sing	root	root
4	and	and	CCONJ	_	5 fidgeting	cc
5	fidgeting	fidget	VERB	Tense=Pres VerbForm=Part	3 voice	conj
6	hands	hand	NOUN	Number=Plur	5 fidgeting	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	fidget	gerund		hands					tree rules

Option 2

A big smile that crinkles the eyes

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 smile	det
2	big	big	ADJ	Degree=Pos	3 smile	amod
3	smile	smile	NOUN	Number=Sing	root	root
4	that	that	PRON	PronType=Rel	5 crinkles	nsubj
5	crinkles	crinkle	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 smile	acl:relcl
6	the	the	DET	Definite=Def PronType=Art	7 eyes	det
7	eyes	eye	NOUN	Number=Plur	5 crinkles	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	crinkle	present	a big smile	the eyes					vn bend-45.2 «NP V NP.patient»: agent=Agent eye=Patient

Option 3

Relaxed shoulders and slow breathing

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Relaxed	relaxed	ADJ	Degree=Pos	2 shoulders	amod
2	shoulders	shoulder	NOUN	Number=Plur	root	root
3	and	and	CCONJ	_	5 breathing	cc
4	slow	slow	ADJ	Degree=Pos	5 breathing	amod
5	breathing	breathing	NOUN	Number=Sing	2 shoulders	conj

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

Option 4

Leaning back and laughing easily

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Leaning	lean	VERB	Tense=Pres VerbForm=Part	root	root
2	back	back	ADV	_	1 Leaning	advmod
3	and	and	CCONJ	_	4 laughing	cc
4	laughing	laugh	VERB	Tense=Pres VerbForm=Part	1 Leaning	conj
5	easily	easily	ADV	_	4 laughing	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	lean back	gerund							vn assuming_position-50 «NP V»: agent=Agent
2	laugh	gerund						easily property	vn nonverbal_expression-40.2 «NP V»: agent=Agent

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/t7/