Test 10 · Bears by kind: the eight bears of the world

«saw a bear that's half white half brown in canada, a pizzly??» What could it be?

Mova's choice: option 4 · The right answer: option 4 · right ✓ · Who acts: bear · What happens: see, be · To what, where: bear, canada

This is test 10 of lesson 319 «Bears by kind: the eight bears of the world» 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

Sentence 1: «saw a bear that's half white half brown in canada, a pizzly??»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	«	«	PUNCT	_	2 saw	punct
2	saw	see	VERB	Mood=Ind Tense=Past VerbForm=Fin	root	root
3	a	a	DET	Definite=Ind PronType=Art	4 bear	det
4	bear	bear	NOUN	Number=Sing	2 saw	obj
5	that	that	PRON	PronType=Rel	10 brown	nsubj
6	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	10 brown	cop
7	half	half	ADV	NumForm=Word NumType=Frac	8 white	advmod
8	white	white	ADJ	Degree=Pos	9 half	amod
9	half	half	NOUN	Number=Sing NumForm=Word NumType=Frac	10 brown	compound
10	brown	brown	ADJ	Degree=Pos	4 bear	acl:relcl
11	in	in	ADP	_	12 canada	case
12	canada	Canada	PROPN	Number=Sing	10 brown	obl
13	,	,	PUNCT	_	15 pizzly	punct
14	a	a	DET	Definite=Ind PronType=Art	15 pizzly	det
15	pizzly	pizzly	NOUN	Number=Sing	12 canada	appos
16	??	??	PUNCT	_	2 saw	punct
17	»	»	PUNCT	_	2 saw	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	see in a quote	past		a bear					vn comprehend-87.2-1-1 «NP V NP»: agent=Experiencer bear=Stimulus
2	is in a quote	present	a bear			canada		brown 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.

Sentence 2: What could it be?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	4 be	obj
2	could	could	AUX	VerbForm=Fin	4 be	aux
3	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	4 be	nsubj
4	be	be	VERB	VerbForm=Inf	root	root
5	?	?	PUNCT	_	4 be	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	can	could	bear						vn representation-110.1 «NP V NP»: agent=Pivot what=Theme

The options

Option 1

A polar bear that rolled in brown mud and could never wash it out again

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 bear	det
2	polar	polar	ADJ	Degree=Pos	3 bear	amod
3	bear	bear	NOUN	Number=Sing	root	root
4	that	that	PRON	PronType=Rel	5 rolled	nsubj
5	rolled	roll	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	3 bear	acl:relcl
6	in	in	ADP	_	8 mud	case
7	brown	brown	ADJ	Degree=Pos	8 mud	amod
8	mud	mud	NOUN	Number=Sing	5 rolled	obl
9	and	and	CCONJ	_	12 wash	cc
10	could	could	AUX	VerbForm=Fin	12 wash	aux
11	never	never	ADV	PronType=Neg	12 wash	advmod
12	wash	wash	VERB	VerbForm=Inf	5 rolled	conj
13	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	12 wash	obj
14	out	out	ADP	_	12 wash	compound:prt
15	again	again	ADV	_	12 wash	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	roll	past	a polar bear			brown mud			vn run-51.3.2-2 «NP V PP.location»: agent=Theme in mud=Trajectory
2	not wash out	could	a polar bear not said here	mud			again		vn floss-41.2.1 «NP V NP»: agent=Agent it=Patient

Option 2

A panda painted by a joker

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 panda	det
2	panda	panda	NOUN	Number=Sing	root	root
3	painted	paint	VERB	Tense=Past VerbForm=Part Voice=Pass	2 panda	acl
4	by	by	ADP	_	6 joker	case
5	a	a	DET	Definite=Ind PronType=Art	6 joker	det
6	joker	joker	NOUN	Number=Sing	3 painted	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	paint	participle		a panda not said here				by a joker	vn image_impression-25.1 «NP V NP.theme PP.destination»: agent=Agent by joker=Destination

Option 3

Impossible, bears never mix

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Impossible	impossible	ADJ	Degree=Pos	3 bears	amod
2	,	,	PUNCT	_	1 Impossible	punct
3	bears	bear	NOUN	Number=Plur	5 mix	nsubj
4	never	never	ADV	PronType=Neg	5 mix	advmod
5	mix	mix	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not mix	present	Impossible bears						vn mix-22.1-1-1 «NP V»: agent=Patient

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

A wild hybrid of a grizzly and a polar bear, which has been found there

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	3 hybrid	det
2	wild	wild	ADJ	Degree=Pos	3 hybrid	amod
3	hybrid	hybrid	NOUN	Number=Sing	root	root
4	of	of	ADP	_	6 grizzly	case
5	a	a	DET	Definite=Ind PronType=Art	6 grizzly	det
6	grizzly	grizzly	NOUN	Number=Sing	3 hybrid	nmod
7	and	and	CCONJ	_	10 bear	cc
8	a	a	DET	Definite=Ind PronType=Art	10 bear	det
9	polar	polar	ADJ	Degree=Pos	10 bear	amod
10	bear	bear	NOUN	Number=Sing	3 hybrid	conj
11	,	,	PUNCT	_	15 found	punct
12	which	which	PRON	PronType=Rel	15 found	nsubj:pass
13	has	have	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	15 found	aux
14	been	be	AUX	Tense=Past VerbForm=Part	15 found	aux:pass
15	found	find	VERB	Tense=Past VerbForm=Part Voice=Pass	3 hybrid	acl
16	there	there	ADV	PronType=Dem	15 found	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	find	present · perfect · passive		a wild hybrid of a grizzly and a polar bear		there			vn discover-84 «NP V NP»: subject=Topic

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/319-bears-by-kind-the-eight-bears-of-the-world/t10/