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Test 11 · Jobs and what people earn

Your nan says, "Back in my day, the mines employed half the town." What's true about jobs over time?

Mova's choice: option 4 · The right answer: option 4 · right ✓ · Who acts: nan, mines · What happens: say, employ, be · To what, where: town · Speech: someone speaks here

This is test 11 of lesson 29 «Jobs and what people earn» of the money 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: Your nan says, "Back in my day, the mines employed half the town."

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	2 nan	nmod:poss
2	nan	nan	NOUN	Number=Sing	3 says	nsubj
3	says	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	,	,	PUNCT	_	6 Back	punct
5	"	"	PUNCT	_	6 Back	punct
6	Back	back	ADV	_	3 says	ccomp
7	in	in	ADP	_	9 day	case
8	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	9 day	nmod:poss
9	day	day	NOUN	Number=Sing	6 Back	obl
10	,	,	PUNCT	_	13 employed	punct
11	the	the	DET	Definite=Def PronType=Art	12 mines	det
12	mines	mine	NOUN	Number=Plur	13 employed	nsubj
13	employed	employ	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 says	ccomp
14	half	half	DET	NumForm=Word NumType=Frac PronType=Ind	16 town	det:predet
15	the	the	DET	Definite=Def PronType=Art	16 town	det
16	town	town	NOUN	Number=Sing	13 employed	obj
17	.	.	PUNCT	_	13 employed	punct
18	"	"	PUNCT	_	13 employed	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	present	Your nan						vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
2	employ in a quote	past	the mines	half town					vn hire-13.5.3 «NP V NP»: agent=Agent town=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.

Sentence 2: What's true about jobs over time?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	3 true	nsubj
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 true	cop
3	true	true	ADJ	Degree=Pos	root	root
4	about	about	ADP	_	5 jobs	case
5	jobs	job	NOUN	Number=Plur	3 true	obl
6	over	over	ADP	_	7 time	case
7	time	time	NOUN	Number=Sing	3 true	obl
8	?	?	PUNCT	_	3 true	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present					time	about jobs; true property	tree rules

The options

Option 1

Jobs never change, so the mines are all still open

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Jobs	job	NOUN	Number=Plur	3 change	nsubj
2	never	never	ADV	PronType=Neg	3 change	advmod
3	change	change	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	,	,	PUNCT	_	11 open	punct
5	so	so	ADV	_	11 open	advmod
6	the	the	DET	Definite=Def PronType=Art	7 mines	det
7	mines	mine	NOUN	Number=Plur	11 open	nsubj
8	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	11 open	cop
9	all	all	ADV	_	11 open	advmod
10	still	still	ADV	_	11 open	advmod
11	open	open	ADJ	Degree=Pos	3 change	ccomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not change	present	Jobs						vn dress-41.1.1-1-1 «NP V»: agent=Agent
2	is	present	the mines				still	all, open property	tree rules

Option 2

Every miner became a YouTuber

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Every	every	DET	PronType=Tot	2 miner	det
2	miner	miner	NOUN	Number=Sing	3 became	nsubj
3	became	become	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	a	a	DET	Definite=Ind PronType=Art	5 YouTuber	det
5	YouTuber	YouTuber	PROPN	Number=Sing	3 became	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	become	past	every miner						vn become-109.1-1-1 «NP V PP.attribute»: agent=Patient

Option 3

Coal mining is now the biggest job in Britain

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Coal	coal	NOUN	Number=Sing	2 mining	compound
2	mining	mining	NOUN	Number=Sing	7 job	nsubj
3	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	7 job	cop
4	now	now	ADV	PronType=Dem	7 job	advmod
5	the	the	DET	Definite=Def PronType=Art	7 job	det
6	biggest	big	ADJ	Degree=Sup	7 job	amod
7	job	job	NOUN	Number=Sing	root	root
8	in	in	ADP	_	9 Britain	case
9	Britain	Britain	PROPN	Number=Sing	7 job	nmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	present	Coal mining	the biggest job		Britain	now		tree rules

Option 4 · ← Mova's choice · ✓ the right answer

Jobs change; many mines closed and new kinds of work appeared

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Jobs	job	NOUN	Number=Plur	2 change	nsubj
2	change	change	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
3	;	;	PUNCT	_	5 mines	punct
4	many	many	ADJ	Degree=Pos	5 mines	amod
5	mines	mine	NOUN	Number=Plur	12 appeared	nsubj
6	closed	close	VERB	Tense=Past VerbForm=Part Voice=Pass	5 mines	acl
7	and	and	CCONJ	_	9 kinds	cc
8	new	new	ADJ	Degree=Pos	9 kinds	amod
9	kinds	kind	NOUN	Number=Plur	6 closed	conj
10	of	of	ADP	_	11 work	case
11	work	work	NOUN	Number=Sing	9 kinds	nmod
12	appeared	appear	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	2 change	ccomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	change	present	Jobs						tree rules
2	close	participle		many mines not said here					vn other_cos-45.4 «NP.patient V»: agent=Patient
3	appear	past	many mines						vn appear-48.1.1 «NP V»: agent=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/money/29-jobs-and-what-people-earn/t11/