Test 11 · ★ · Iktomi, Iktomi and the Fawn, part 2: Iktomi begs to be a p…

lol, what did Iktomi ask the big fawn?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: Iktomi · What happens: ask · To what, where: big fawn

This is test 11 · ★ of lesson 1267 «Iktomi, Iktomi and the Fawn, part 2: Iktomi begs to be a peacock, then an arrow, then a fawn, and loses each chance» 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	lol	lol	INTJ	_	6 ask	discourse
2	,	,	PUNCT	_	1 lol	punct
3	what	what	PRON	PronType=Int	6 ask	obj
4	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	6 ask	aux
5	Iktomi	Iktomi	PROPN	Number=Sing	6 ask	nsubj
6	ask	ask	VERB	VerbForm=Inf	root	root
7	the	the	DET	Definite=Def PronType=Art	9 fawn	det
8	big	big	ADJ	Degree=Pos	9 fawn	amod
9	fawn	fawn	NOUN	Number=Sing	6 ask	obj
10	?	?	PUNCT	_	6 ask	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	ask speech: ask	past · do-support	Iktomi	the big fawn					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.

The options

Option 1 · ← Mova's choice

its name

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	its	its	PRON	Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs	2 name	nmod:poss
2	name	name	NOUN	Number=Sing	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	name		its = it						nom name «communication transitive»: poss=agent

Option 2 · ✓ the right answer

how the brown spots got on its face

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	how	how	ADV	PronType=Int	5 got	advmod
2	the	the	DET	Definite=Def PronType=Art	4 spots	det
3	brown	brown	ADJ	Degree=Pos	4 spots	amod
4	spots	spot	NOUN	Number=Plur	5 got	nsubj
5	got	get	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	root	root
6	on	on	ADP	_	8 face	case
7	its	its	PRON	Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs	8 face	nmod:poss
8	face	face	NOUN	Number=Sing	5 got	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	get	past	the brown spots			its face			vn get-13.5.1-1 «NP V NP PP.source»: agent=Agent on face=Source

Option 3

why its ears are so long

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	why	why	ADV	PronType=Int	6 long	advmod
2	its	its	PRON	Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs	3 ears	nmod:poss
3	ears	ear	NOUN	Number=Plur	6 long	nsubj
4	are	be	AUX	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	6 long	cop
5	so	so	ADV	_	6 long	advmod
6	long	long	ADV	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	its ears					long property	tree rules

Option 4

where the fawn sleeps at night

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	where	where	ADV	PronType=Rel	4 sleeps	advmod
2	the	the	DET	Definite=Def PronType=Art	3 fawn	det
3	fawn	fawn	NOUN	Number=Sing	4 sleeps	nsubj
4	sleeps	sleep	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
5	at	at	ADP	_	6 night	case
6	night	night	NOUN	Number=Sing	4 sleeps	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	sleep	present	the fawn				night		vn snooze-40.4-1 «NP V»: agent=Agent

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/1267-pg338-part4/t11/