Test 16 · ★★ · Just So Stories (Rudyard Kipling), 6: The Sing-Song of Old…

★★★ Trap: Dingo is called "Yellow-Dog Dingo" most of the time. What two other names does he get when he is worn out at the end?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: two other names · What happens: call, get, wear out · To what, where: Dingo, end · Speech: someone speaks here

This is test 16 · ★★ of lesson 81 «Just So Stories (Rudyard Kipling), 6: The Sing-Song of Old Man Kangaroo» 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

Sentence 1: ★★★ Trap: Dingo is called "Yellow-Dog Dingo" most of the time.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	★	★	PROPN	Number=Sing	4 Trap	nsubj
2	★	★	NOUN	Number=Sing	4 Trap	compound
3	★	★	NOUN	Number=Sing	4 Trap	compound
4	Trap	trap	NOUN	Number=Sing	root	root
5	:	:	PUNCT	_	8 called	punct
6	Dingo	Dingo	PROPN	Number=Sing	8 called	nsubj
7	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	8 called	aux:pass
8	called	call	VERB	Tense=Past VerbForm=Part Voice=Pass	4 Trap	acl:relcl
9	"	"	PUNCT	_	13 Dingo	punct
10	Yellow	yellow	ADJ	Degree=Pos	12 Dog	amod
11	-	-	PUNCT	_	10 Yellow	punct
12	Dog	dog	NOUN	Number=Sing	13 Dingo	compound
13	Dingo	Dingo	PROPN	Number=Sing	8 called	xcomp
14	"	"	PUNCT	_	15 most	punct
15	most	most	ADJ	Degree=Sup	13 Dingo	appos
16	of	of	ADP	_	18 time	case
17	the	the	DET	Definite=Def PronType=Art	18 time	det
18	time	time	NOUN	Number=Sing	15 most	nmod
19	.	.	PUNCT	_	4 Trap	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	call	present · passive		Dingo					vn initiate_communication-37.4.2-1 «NP V NP.recipient»: subject=Recipient

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 two other names does he get when he is worn out at the end?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	7 get	obj
2	two	two	NUM	NumForm=Word NumType=Card	4 names	nummod
3	other	other	ADJ	Degree=Pos	4 names	amod
4	names	name	NOUN	Number=Plur	7 get	nsubj
5	does	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	7 get	aux
6	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	7 get	nsubj
7	get	get	VERB	VerbForm=Inf	root	root
8	when	when	SCONJ	_	11 worn	mark
9	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	11 worn	nsubj
10	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	11 worn	aux:pass
11	worn	wear	VERB	Tense=Past VerbForm=Part Voice=Pass	7 get	advcl
12	out	out	ADP	_	11 worn	compound:prt
13	at	at	ADP	_	15 end	case
14	the	the	DET	Definite=Def PronType=Art	15 end	det
15	end	end	NOUN	Number=Sing	11 worn	obl
16	?	?	PUNCT	_	7 get	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	get	present · do-support	two other names						vn comprehend-87.2-1 «NP V NP»: agent=Experiencer what=Stimulus
2	wear out	present · passive		Dingo			at the end		vn wipe_manner-10.4.1-1 «NP V NP.source»: subject=Source

The options

Option 1 · ← Mova's choice

Lazy-Dog Dingo and Sleepy-Dog Dingo

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Lazy	lazy	ADJ	Degree=Pos	3 Dog	amod
2	-	-	PUNCT	_	1 Lazy	punct
3	Dog	dog	NOUN	Number=Sing	root	root
4	Dingo	Dingo	PROPN	Number=Sing	3 Dog	appos
5	and	and	CCONJ	_	9 Dingo	cc
6	Sleepy	sleepy	ADJ	Degree=Pos	8 Dog	amod
7	-	-	PUNCT	_	6 Sleepy	punct
8	Dog	dog	NOUN	Number=Sing	9 Dingo	compound
9	Dingo	Dingo	PROPN	Number=Sing	4 Dingo	conj

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

Option 2

Tired-Dog Dingo, Poor Dog Dingo, and Sad-Eyed Old Dingo of the Salt-Pan

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Tired	tired	ADJ	Degree=Pos	3 Dog	amod
2	-	-	PUNCT	_	1 Tired	punct
3	Dog	dog	NOUN	Number=Sing	4 Dingo	compound
4	Dingo	Dingo	PROPN	Number=Sing	root	root
5	,	,	PUNCT	_	8 Dingo	punct
6	Poor	poor	ADJ	Degree=Pos	8 Dingo	amod
7	Dog	Dog	PROPN	Number=Sing	8 Dingo	compound
8	Dingo	Dingo	PROPN	Number=Sing	4 Dingo	appos
9	,	,	PUNCT	_	15 Dingo	punct
10	and	and	CCONJ	_	15 Dingo	cc
11	Sad	sad	ADJ	Degree=Pos	13 Eyed	amod
12	-	-	PUNCT	_	11 Sad	punct
13	Eyed	eyed	ADJ	Degree=Pos	15 Dingo	amod
14	Old	old	ADJ	Degree=Pos	15 Dingo	amod
15	Dingo	Dingo	PROPN	Number=Sing	4 Dingo	appos
16	of	of	ADP	_	20 Pan	case
17	the	the	DET	Definite=Def PronType=Art	20 Pan	det
18	Salt	Salt	PROPN	Number=Sing	20 Pan	compound
19	-	-	PUNCT	_	18 Salt	punct
20	Pan	Pan	PROPN	Number=Sing	15 Dingo	nmod

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

Option 3

Tired-Tail Dingo and Dusty Dog Dingo

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Tired	tired	ADJ	Degree=Pos	3 Tail	amod
2	-	-	PUNCT	_	1 Tired	punct
3	Tail	tail	NOUN	Number=Sing	root	root
4	Dingo	Dingo	PROPN	Number=Sing	3 Tail	appos
5	and	and	CCONJ	_	8 Dingo	cc
6	Dusty	Dusty	PROPN	Number=Sing	8 Dingo	compound
7	Dog	Dog	PROPN	Number=Sing	8 Dingo	compound
8	Dingo	Dingo	PROPN	Number=Sing	4 Dingo	conj

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

Option 4 · ✓ the right answer

Tired-Dog Dingo and Poor Dog Dingo

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Tired	tired	ADJ	Degree=Pos	3 Dog	amod
2	-	-	PUNCT	_	1 Tired	punct
3	Dog	dog	NOUN	Number=Sing	4 Dingo	compound
4	Dingo	Dingo	PROPN	Number=Sing	root	root
5	and	and	CCONJ	_	8 Dingo	cc
6	Poor	poor	ADJ	Degree=Pos	8 Dingo	amod
7	Dog	Dog	PROPN	Number=Sing	8 Dingo	compound
8	Dingo	Dingo	PROPN	Number=Sing	4 Dingo	conj

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/books/81-justso-old-man-kangaroo/t16/