Test 1 · ★ · Soft words for hard things: animals and pets and money and…

"omg the cat left a present in my slipper" — what did the cat probably leave?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · Who acts: cat · What happens: leave, do · To what, where: present, slipper, cat

This is test 1 · ★ of lesson 18 «Soft words for hard things: animals and pets and money and poverty» of the euphemisms 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	_	5 left	punct
2	omg	omg	INTJ	_	5 left	discourse
3	the	the	DET	Definite=Def PronType=Art	4 cat	det
4	cat	cat	NOUN	Number=Sing	5 left	nsubj
5	left	leave	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
6	a	a	DET	Definite=Ind PronType=Art	7 present	det
7	present	present	NOUN	Number=Sing	5 left	obj
8	in	in	ADP	_	10 slipper	case
9	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	10 slipper	nmod:poss
10	slipper	slipper	NOUN	Number=Sing	7 present	nmod
11	"	"	PUNCT	_	5 left	punct
12	—	-	PUNCT	_	14 did	punct
13	what	what	PRON	PronType=Int	14 did	nsubj
14	did	do	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 left	conj
15	the	the	DET	Definite=Def PronType=Art	16 cat	det
16	cat	cat	NOUN	Number=Sing	14 did	obj
17	probably	probably	ADV	_	18 leave	advmod
18	leave	leave	VERB	VerbForm=Inf	14 did	advcl
19	?	?	PUNCT	_	5 left	punct

#	verb	tense, mood	who	what, whom	where	other	roles by
1	leave in a quote	past	the cat	a present	my slipper		vn keep-15.2 «NP V NP PP.location»: agent=Agent present=Theme in slipper=Location
2	do	past		the cat			vn act-114-1 «NP V NP»: agent=Agent cat=Eventuality
3	leave	infinitive				probably property	vn escape-51.1-1-1 «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

Some cat food

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Some	some	DET	PronType=Ind	3 food	det
2	cat	cat	NOUN	Number=Sing	3 food	compound
3	food	food	NOUN	Number=Sing	root	root

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

Option 2

A toy mouse it found under the bed

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 mouse	det
2	toy	toy	NOUN	Number=Sing	3 mouse	compound
3	mouse	mouse	NOUN	Number=Sing	5 found	nsubj
4	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	5 found	nsubj
5	found	find	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
6	under	under	ADP	_	8 bed	case
7	the	the	DET	Definite=Def PronType=Art	8 bed	det
8	bed	bed	NOUN	Number=Sing	5 found	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	find	past	a toy mouse			the bed			vn declare-29.4-1-1 «NP V what S_INF»: agent=Agent

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

Droppings or a dead mouse

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Droppings	dropping	NOUN	Number=Plur	root	root
2	or	or	CCONJ	_	5 mouse	cc
3	a	a	DET	Definite=Ind PronType=Art	5 mouse	det
4	dead	dead	ADJ	Degree=Pos	5 mouse	amod
5	mouse	mouse	NOUN	Number=Sing	1 Droppings	conj

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

Option 4

A ribbon

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 ribbon	det
2	ribbon	ribbon	NOUN	Number=Sing	root	root

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

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/euphemisms/18-pets-and-money/t1/