Test 8 · ★★★ · Rivers, lakes and ponds

«beaver's teeth'd get worn down to nothing chewing trees» What is right?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · What happens: wear down, chew, be · To what, where: teeth

This is test 8 · ★★★ of lesson 10 «Rivers, lakes and ponds» of the biology 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	_	7 worn	punct
2	beaver	beaver	NOUN	Number=Sing	4 teeth	nmod:poss
3	's	's	PART	_	2 beaver	case
4	teeth	tooth	NOUN	Number=Plur	7 worn	nsubj:pass
5	'd	would	AUX	VerbForm=Fin	7 worn	aux
6	get	get	AUX	VerbForm=Inf	7 worn	aux:pass
7	worn	wear	VERB	Tense=Past VerbForm=Part Voice=Pass	16 right	advcl
8	down	down	ADP	_	7 worn	compound:prt
9	to	to	ADP	_	10 nothing	case
10	nothing	nothing	PRON	Number=Sing PronType=Neg	7 worn	obj
11	chewing	chew	VERB	VerbForm=Ger	12 trees	amod
12	trees	tree	NOUN	Number=Plur	10 nothing	obj
13	»	»	PUNCT	_	7 worn	punct
14	What	what	PRON	PronType=Int	16 right	nsubj
15	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	16 right	cop
16	right	right	ADJ	Degree=Pos	root	root
17	?	?	PUNCT	_	16 right	punct

#	verb	tense, mood	what, whom	other	roles by
1	wear down in a quote	would · passive	beaver's teeth		tree rules
2	chew in a quote	gerund			vn chew-39.2 «NP V»: agent=Agent
3	is	present		right 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

They never stop growing, and the iron makes them extra strong

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	They	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	3 stop	nsubj
2	never	never	ADV	PronType=Neg	3 stop	advmod
3	stop	stop	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	growing	grow	VERB	VerbForm=Ger	3 stop	xcomp
5	,	,	PUNCT	_	9 makes	punct
6	and	and	CCONJ	_	9 makes	cc
7	the	the	DET	Definite=Def PronType=Art	8 iron	det
8	iron	iron	NOUN	Number=Sing	9 makes	nsubj
9	makes	make	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 stop	advcl
10	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	9 makes	obj
11	extra	extra	ADV	_	12 strong	advmod
12	strong	strong	ADJ	Degree=Pos	9 makes	xcomp

#	verb	tense, mood	who	what, whom	other	roles by
1	not stop	present	They			vn stop-55.4-1-1 «NP V S_ING»: agent=Affector clause=Eventuality
2	grow	gerund	They not said here			vn appear-48.1.1 «NP V»: agent=Theme
3	make	present	the iron	them = they	strong property	vn build-26.1-1 «NP.asset V NP»: agent=Asset they=Product

Option 2

Beavers grow new teeth every week

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Beavers	beaver	NOUN	Number=Plur	2 grow	nsubj
2	grow	grow	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
3	new	new	ADJ	Degree=Pos	4 teeth	amod
4	teeth	tooth	NOUN	Number=Plur	2 grow	obj
5	every	every	DET	PronType=Tot	6 week	det
6	week	week	NOUN	Number=Sing	2 grow	obl:unmarked

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	grow	present	Beavers	new teeth			week		vn appear-48.1.1 «PP.location V NP»: agent=Location tooth=Theme

Option 3

Beavers use their claws, not teeth

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Beavers	beaver	NOUN	Number=Plur	2 use	nsubj
2	use	use	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
3	their	their	PRON	Case=Gen Number=Plur Person=3 Poss=Yes PronType=Prs	4 claws	nmod:poss
4	claws	claw	NOUN	Number=Plur	2 use	obj
5	,	,	PUNCT	_	7 teeth	punct
6	not	not	PART	Polarity=Neg	7 teeth	advmod
7	teeth	tooth	NOUN	Number=Plur	4 claws	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	use	present	Beavers	Beavers's claws and teeth					vn eat-39.1 «NP V NP»: agent=Agent claw=Patient

Option 4

Yes, old beavers have no teeth left and must eat soft water plants

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Yes	yes	INTJ	Polarity=Pos	5 have	discourse
2	,	,	PUNCT	_	1 Yes	punct
3	old	old	ADJ	Degree=Pos	4 beavers	amod
4	beavers	beaver	NOUN	Number=Plur	5 have	nsubj
5	have	have	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
6	no	no	DET	PronType=Neg	7 teeth	det
7	teeth	tooth	NOUN	Number=Plur	5 have	obj
8	left	leave	VERB	Tense=Past VerbForm=Part Voice=Pass	7 teeth	acl
9	and	and	CCONJ	_	11 eat	cc
10	must	must	AUX	VerbForm=Fin	11 eat	aux
11	eat	eat	VERB	VerbForm=Inf	5 have	conj
12	soft	soft	ADJ	Degree=Pos	14 plants	amod
13	water	water	NOUN	Number=Sing	14 plants	compound
14	plants	plant	NOUN	Number=Plur	11 eat	obj

#	verb	tense, mood	who	what, whom	roles by
1	have	present	old beavers	no teeth	vn birth-28.2-1 «NP V NP»: agent=Agent tooth=Patient
2	leave	participle		no teeth not said here	vn escape-51.1-1-1 «NP V»: agent=Theme
3	eat	must	old beavers not said here	soft water plants	vn eat-39.1-1 «NP V NP»: agent=Agent plant=Patient

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/biology/10-rivers-lakes-and-ponds/t8/