Test 7 · The Industrial Revolution

Why did coal matter so much to the Industrial Revolution?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · What happens: do · To what, where: coal matter

This is test 7 of lesson 30 «The Industrial Revolution» of the history 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	Why	why	ADV	PronType=Int	2 did	advmod
2	did	do	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
3	coal	coal	NOUN	Number=Sing	4 matter	compound
4	matter	matter	NOUN	Number=Sing	2 did	obj
5	so	so	ADV	_	6 much	advmod
6	much	much	ADV	_	2 did	advmod
7	to	to	ADP	_	10 Revolution	case
8	the	the	DET	Definite=Def PronType=Art	10 Revolution	det
9	Industrial	industrial	ADJ	Degree=Pos	10 Revolution	amod
10	Revolution	Revolution	PROPN	Number=Sing	2 did	obl
11	?	?	PUNCT	_	2 did	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	past		coal matter				to the Industrial Revolution	vn act-114-1 «NP V NP»: agent=Agent matter=Eventuality

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

It fuelled the steam engines

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 fuelled	nsubj
2	fuelled	fuell	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	the	the	DET	Definite=Def PronType=Art	5 engines	det
4	steam	steam	NOUN	Number=Sing	5 engines	compound
5	engines	engine	NOUN	Number=Plur	2 fuelled	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	fuell	past	It	the steam engines					tree rules

Option 2

It was used to make cloth

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 used	nsubj:pass
2	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	3 used	aux:pass
3	used	use	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
4	to	to	PART	_	5 make	mark
5	make	make	VERB	VerbForm=Inf	3 used	advcl
6	cloth	cloth	NOUN	Number=Sing	5 make	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	use	past · passive		It					vn eat-39.1 «NP V NP»: subject=Patient
2	make	to-infinitive		cloth					vn build-26.1-1 «NP.asset V NP»: agent=Asset cloth=Product

Option 3

It was eaten by workers

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 eaten	nsubj:pass
2	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	3 eaten	aux:pass
3	eaten	eat	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
4	by	by	ADP	_	5 workers	case
5	workers	worker	NOUN	Number=Plur	3 eaten	obl:agent

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	eat	past · passive	workers	It					vn eat-39.1-1 «NP V NP»: agent=Agent subject=Patient

Option 4

It replaced bread

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 replaced	nsubj
2	replaced	replace	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	bread	bread	NOUN	Number=Sing	2 replaced	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	replace	past	It	bread					vn substitute-13.6.2-1 «NP V NP»: agent=Theme bread=Co-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/history/30-the-industrial-revolution/t7/