Exam question 3 · Just So Stories (Rudyard Kipling), 4: How the Leopard got…

Select the response that most accurately characterises the intended meaning of Baviaan's counsel to "go into other spots".

Mova's choice: option 3 · The right answer: option 3 · right ✓ · Who acts: you, most · What happens: select, characteris, intend, go, mean · To what, where: response, intended meaning, other spots, counsel

This is exam question 3 of lesson 78 «Just So Stories (Rudyard Kipling), 4: How the Leopard got his Spots, part 2 (One, two, three, and where's your breakfast?)» of the books course of Mova's primary school, asked in stiff, formal language. 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	Select	select	VERB	Mood=Imp VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	3 response	det
3	response	response	NOUN	Number=Sing	1 Select	obj
4	that	that	SCONJ	_	7 characterises	mark
5	most	most	ADJ	Degree=Sup	7 characterises	nsubj
6	accurately	accurately	ADV	_	5 most	advmod
7	characterises	characteris	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	1 Select	advcl
8	the	the	DET	Definite=Def PronType=Art	10 meaning	det
9	intended	intend	VERB	Tense=Past VerbForm=Part Voice=Pass	10 meaning	amod
10	meaning	meaning	NOUN	Number=Sing	7 characterises	obj
11	of	of	ADP	_	14 counsel	case
12	Baviaan	Baviaan	PROPN	Number=Sing	14 counsel	nmod:poss
13	's	's	PART	_	12 Baviaan	case
14	counsel	counsel	NOUN	Number=Sing	10 meaning	nmod
15	to	to	PART	_	17 go	mark
16	"	"	PUNCT	_	17 go	punct
17	go	go	VERB	VerbForm=Inf	7 characterises	advcl
18	into	into	ADP	_	20 spots	case
19	other	other	ADJ	Degree=Pos	20 spots	amod
20	spots	spot	NOUN	Number=Plur	17 go	obl
21	"	"	PUNCT	_	20 spots	punct
22	.	.	PUNCT	_	1 Select	punct

#	verb	tense, mood	who	what, whom	where	roles by
1	select	imperative	you not said here	the response		vn obtain-13.5.2 «NP V NP»: agent=Agent response=Theme
2	characteris	present	most	the intended meaning of Baviaan's counsel		tree rules
3	intend	participle				vn intend-61.2-1-1 «NP V S_ING»: agent=Agent
4	go in a quote	to-infinitive	most not said here		other spots	vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme into spot=Initial_Location
5	mean			Baviaan's counsel		nom meaning «communication transitive»: of=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.

The options

Option 1

To travel far away from the High Veldt and find a new home in another country with other animals altogether

The tree, 20 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 travel	mark
2	travel	travel	VERB	Mood=Imp VerbForm=Fin	root	root
3	far	far	ADV	Degree=Pos	4 away	advmod
4	away	away	ADV	_	2 travel	advmod
5	from	from	ADP	_	8 Veldt	case
6	the	the	DET	Definite=Def PronType=Art	8 Veldt	det
7	High	high	ADJ	Degree=Pos	8 Veldt	amod
8	Veldt	Veldt	PROPN	Number=Sing	2 travel	obl
9	and	and	CCONJ	_	10 find	cc
10	find	find	VERB	Mood=Imp VerbForm=Fin	2 travel	conj
11	a	a	DET	Definite=Ind PronType=Art	13 home	det
12	new	new	ADJ	Degree=Pos	13 home	amod
13	home	home	NOUN	Number=Sing	10 find	obj
14	in	in	ADP	_	16 country	case
15	another	another	DET	PronType=Ind	16 country	det
16	country	country	NOUN	Number=Sing	10 find	obl
17	with	with	ADP	_	19 animals	case
18	other	other	ADJ	Degree=Pos	19 animals	amod
19	animals	animal	NOUN	Number=Plur	16 country	nmod
20	altogether	altogether	ADV	_	2 travel	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	travel	to-infinitive				the High Veldt		altogether, away property	vn run-51.3.2-1 «NP V PP.location»: agent=Theme from veldt=Trajectory
2	find	infinitive		a new home		another country with other animals			vn discover-84 «NP V NP»: agent=Agent home=Topic

Option 2

To find a new river to drink from

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 find	mark
2	find	find	VERB	Mood=Imp VerbForm=Fin	root	root
3	a	a	DET	Definite=Ind PronType=Art	5 river	det
4	new	new	ADJ	Degree=Pos	5 river	amod
5	river	river	NOUN	Number=Sing	2 find	obj
6	to	to	PART	_	7 drink	mark
7	drink	drink	VERB	VerbForm=Inf	5 river	acl
8	from	from	ADP	_	7 drink	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	find	to-infinitive		a new river					vn discover-84 «NP V NP»: agent=Agent river=Topic
2	drink	to-infinitive		a new river not said here					vn eat-39.1-1 «NP V»: agent=Agent

Option 3 · ← Mova's choice · ✓ the right answer

To acquire spots upon the skin

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 acquire	mark
2	acquire	acquire	VERB	Mood=Imp VerbForm=Fin	root	root
3	spots	spot	NOUN	Number=Plur	2 acquire	obj
4	upon	upon	ADP	_	6 skin	case
5	the	the	DET	Definite=Def PronType=Art	6 skin	det
6	skin	skin	NOUN	Number=Sing	2 acquire	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	acquire	to-infinitive		spots				upon the skin	vn obtain-13.5.2-1 «NP.asset V NP»: agent=Asset spot=Theme

Option 4

To go hunting in other places

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	To	to	PART	_	2 go	mark
2	go	go	VERB	Mood=Imp VerbForm=Fin	root	root
3	hunting	hunt	VERB	VerbForm=Ger	2 go	xcomp
4	in	in	ADP	_	6 places	case
5	other	other	ADJ	Degree=Pos	6 places	amod
6	places	place	NOUN	Number=Plur	3 hunting	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	go	to-infinitive							vn say-37.7 «NP V S-Quote»: agent=Agent clause=Topic
2	hunt	gerund				other places			vn hunt-35.1 «NP V PP.theme PP.location»: agent=Agent in place=Location

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.

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