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Test 10 · ★ · Training a dog with rewards and patience

Count them: a trainer has two dogs, a pony and a parrot. How many animal legs are there, not counting the trainer?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: you, trainer, many animal legs · What happens: count, have, be, not count · To what, where: them, two dogs, trainer

This is test 10 · ★ of lesson 195 «Training a dog with rewards and patience» 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: Count them: a trainer has two dogs, a pony and a parrot.

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	_	6 has	punct
4	a	a	DET	Definite=Ind PronType=Art	5 trainer	det
5	trainer	trainer	NOUN	Number=Sing	6 has	nsubj
6	has	have	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	1 Count	parataxis
7	two	two	NUM	NumForm=Word NumType=Card	8 dogs	nummod
8	dogs	dog	NOUN	Number=Plur	6 has	obj
9	,	,	PUNCT	_	11 pony	punct
10	a	a	DET	Definite=Ind PronType=Art	11 pony	det
11	pony	pony	NOUN	Number=Sing	8 dogs	appos
12	and	and	CCONJ	_	14 parrot	cc
13	a	a	DET	Definite=Ind PronType=Art	14 parrot	det
14	parrot	parrot	NOUN	Number=Sing	11 pony	conj
15	.	.	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	have	present	a trainer	two dogs					vn birth-28.2-1 «NP V NP»: agent=Agent dog=Patient

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 animal legs are there, not counting the trainer?

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	4 legs	amod
3	animal	animal	NOUN	Number=Sing	4 legs	compound
4	legs	leg	NOUN	Number=Plur	6 there	nsubj
5	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	6 there	cop
6	there	there	ADV	PronType=Dem	root	root
7	,	,	PUNCT	_	9 counting	punct
8	not	not	PART	Polarity=Neg	9 counting	advmod
9	counting	count	VERB	Tense=Pres VerbForm=Part	6 there	advcl
10	the	the	DET	Definite=Def PronType=Art	11 trainer	det
11	trainer	trainer	NOUN	Number=Sing	9 counting	obj
12	?	?	PUNCT	_	6 there	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	many animal legs					there property	tree rules
2	not count	gerund	many animal legs not said here	the trainer					vn multiply-108 «NP V NP»: agent=Agent trainer=Theme

The options

Option 1 · ← Mova's choice

16

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	16	16	NUM	NumForm=Digit NumType=Card	root	root

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

Option 2

10

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	10	10	NUM	NumForm=Digit NumType=Card	root	root

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

Option 3

12

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	12	12	NUM	NumForm=Digit NumType=Card	root	root

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

Option 4 · ✓ the right answer

14

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	14	14	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/biology/195-training-a-dog-with-rewards-and-patience/t10/