Test 17 · ★★★ · The Wind in the Willows, chapter IV, part 1: Mr. Badger (t…

★★★ Count the animals at the supper table in this part (count the Badger too).

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: ★ · What happens: count · To what, where: animals, supper table, Badger

This is test 17 · ★★★ of lesson 37 «The Wind in the Willows, chapter IV, part 1: Mr. Badger (the door in the snow and the fire-lit kitchen)» of the books 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	★	★	PROPN	Number=Sing	4 Count	nsubj
2	★	★	X	Foreign=Yes	1 ★	dep
3	★	★	PUNCT	_	1 ★	punct
4	Count	count	VERB	Mood=Imp VerbForm=Fin	root	root
5	the	the	DET	Definite=Def PronType=Art	6 animals	det
6	animals	animal	NOUN	Number=Plur	4 Count	obj
7	at	at	ADP	_	10 table	case
8	the	the	DET	Definite=Def PronType=Art	10 table	det
9	supper	supper	NOUN	Number=Sing	10 table	compound
10	table	table	NOUN	Number=Sing	4 Count	obl
11	in	in	ADP	_	13 part	case
12	this	this	DET	Number=Sing PronType=Dem	13 part	det
13	part	part	NOUN	Number=Sing	10 table	nmod
14	(	(	PUNCT	_	15 count	punct
15	count	count	VERB	VerbForm=Inf	4 Count	parataxis
16	the	the	DET	Definite=Def PronType=Art	17 Badger	det
17	Badger	Badger	PROPN	Number=Sing	15 count	obj
18	too	too	ADV	_	15 count	advmod
19	)	)	PUNCT	_	15 count	punct
20	.	.	PUNCT	_	4 Count	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	count	infinitive	★	the animals		the supper table in this part			vn multiply-108 «NP V NP»: agent=Agent animal=Theme
2	count	infinitive		the Badger					vn multiply-108 «NP V NP»: agent=Agent badger=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.

The options

Option 1 · ← Mova's choice · ✓ the right answer

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	3	3	NUM	NumForm=Digit NumType=Card	root	root

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

Option 2

Four, counting the Mole's sore leg as one

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Four	four	NUM	NumForm=Word NumType=Card	root	root
2	,	,	PUNCT	_	3 counting	punct
3	counting	count	VERB	Tense=Pres VerbForm=Part	1 Four	advcl
4	the	the	DET	Definite=Def PronType=Art	5 Mole	det
5	Mole	Mole	PROPN	Number=Sing	8 leg	nmod:poss
6	's	's	PART	_	5 Mole	case
7	sore	sore	ADJ	Degree=Pos	8 leg	amod
8	leg	leg	NOUN	Number=Sing	3 counting	obj
9	as	as	ADP	_	10 one	case
10	one	one	NUM	NumForm=Word NumType=Card	3 counting	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	count	gerund		the Mole's sore leg				as one	vn characterize-29.2 «NP V NP S_ING»: agent=Agent leg=Theme as one=Attribute

Option 3

Five, the Badger, the Rat, the Mole, the Mole's cousin

The tree, 11 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Five	five	NUM	NumForm=Word NumType=Card	4 Badger	nummod
2	,	,	PUNCT	_	4 Badger	punct
3	the	the	DET	Definite=Def PronType=Art	4 Badger	det
4	Badger	Badger	PROPN	Number=Sing	root	root
5	,	,	PUNCT	_	7 Rat	punct
6	the	the	DET	Definite=Def PronType=Art	7 Rat	det
7	Rat	Rat	PROPN	Number=Sing	4 Badger	appos
8	,	,	PUNCT	_	10 Mole	punct
9	the	the	DET	Definite=Def PronType=Art	10 Mole	det
10	Mole	mole	NOUN	Number=Sing	7 Rat	conj
11	,	,	PUNCT	_	15 cousin	punct
12	the	the	DET	Definite=Def PronType=Art	13 Mole	det
13	Mole	mole	NOUN	Number=Sing	15 cousin	nmod:poss
14	's	's	PART	_	13 Mole	case
15	cousin	cousin	NOUN	Number=Sing	7 Rat	conj

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

Option 4

Two of them, not counting the Badger at all

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Two	two	NUM	NumForm=Word NumType=Card	root	root
2	of	of	ADP	_	3 them	case
3	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	1 Two	nmod
4	,	,	PUNCT	_	6 counting	punct
5	not	not	PART	Polarity=Neg	6 counting	advmod
6	counting	count	VERB	Tense=Pres VerbForm=Part	1 Two	advcl
7	the	the	DET	Definite=Def PronType=Art	8 Badger	det
8	Badger	Badger	PROPN	Number=Sing	6 counting	obj
9	at	at	ADP	_	10 all	case
10	all	all	DET	PronType=Tot	6 counting	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not count	gerund		the Badger		all			vn multiply-108 «NP V NP»: agent=Agent badger=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/books/37-willows-ch4-part1-mr-badger/t17/