Mova0.5 pre-release⌕

☰

home / corpora / questions / Technology / Self-driving cars and machines that ru… / t8

Test 8 · ★★ · Self-driving cars and machines that run themselves

Count them: at the self-checkout you scan 5 apples, but then put back 2. How many apples should the scale feel?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: you, many apples · What happens: count, scan, put back, feel · To what, where: them, 5 apples, self checkout, 2

This is test 8 · ★★ of lesson 40 «Self-driving cars and machines that run themselves» of the technology 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: Count them: at the self-checkout you scan 5 apples, but then put back 2.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Count	count	VERB	Mood=Imp VerbForm=Fin	root	root
2	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	1 Count	obj
3	:	:	PUNCT	_	10 scan	punct
4	at	at	ADP	_	8 checkout	case
5	the	the	DET	Definite=Def PronType=Art	8 checkout	det
6	self	self	NOUN	Number=Sing	8 checkout	compound
7	-	-	PUNCT	_	6 self	punct
8	checkout	checkout	NOUN	Number=Sing	10 scan	obl
9	you	you	PRON	Case=Nom Person=2 PronType=Prs	10 scan	nsubj
10	scan	scan	VERB	Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin	1 Count	parataxis
11	5	5	NUM	NumForm=Digit NumType=Card	12 apples	nummod
12	apples	apple	NOUN	Number=Plur	10 scan	obj
13	,	,	PUNCT	_	16 put	punct
14	but	but	CCONJ	_	16 put	cc
15	then	then	ADV	PronType=Dem	16 put	advmod
16	put	put	VERB	VerbForm=Inf	10 scan	advcl
17	back	back	ADV	_	16 put	advmod
18	2	2	NUM	NumForm=Digit NumType=Card	16 put	obj
19	.	.	PUNCT	_	1 Count	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	count	imperative	you not said here	them = they					vn multiply-108 «NP V NP»: agent=Agent they=Theme
2	scan	present	you	5 apples		the self checkout			vn assessment-34.1 «NP V NP»: agent=Agent apple=Theme
3	put back	infinitive	you not said here	2			then		vn invest-13.5.4-1 «NP V PP»: agent=Agent 2=Goal

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: How many apples should the scale feel?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	How	how	ADV	PronType=Int	2 many	advmod
2	many	many	ADJ	Degree=Pos	3 apples	amod
3	apples	apple	NOUN	Number=Plur	7 feel	nsubj
4	should	should	AUX	VerbForm=Fin	7 feel	aux
5	the	the	DET	Definite=Def PronType=Art	6 scale	det
6	scale	scale	NOUN	Number=Sing	7 feel	nsubj
7	feel	feel	VERB	VerbForm=Inf	root	root
8	?	?	PUNCT	_	7 feel	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	feel	should	many apples						vn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus

The options

Option 1 · ← Mova's choice

2

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	2	2	NUM	NumForm=Digit NumType=Card	root	root

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

Option 2

5

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	5	5	NUM	NumForm=Digit NumType=Card	root	root

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

Option 3 · ✓ the right answer

3

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	3	3	NUM	NumForm=Digit NumType=Card	root	root

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

Option 4

7

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	7	7	NUM	NumForm=Digit NumType=Card	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/technology/40-self-driving-cars-and-machines-that-run-themselves/t8/