Test 4 · ★ · Japanese Fairy Tales, Watanabe and the Ogre's Arm: a fake…

Ngl, why didn't Watanabe catch him?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: Watanabe · What happens: not catch · To what, where: Ngl

This is test 4 · ★ of lesson 1383 «Japanese Fairy Tales, Watanabe and the Ogre's Arm: a fake old nurse steals the arm back from its box» 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	Ngl	Ngl	PROPN	Number=Sing	7 catch	vocative
2	,	,	PUNCT	_	1 Ngl	punct
3	why	why	ADV	PronType=Int	7 catch	advmod
4	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	7 catch	aux
5	n't	not	PART	Polarity=Neg	7 catch	advmod
6	Watanabe	Watanabe	PROPN	Number=Sing	7 catch	nsubj
7	catch	catch	VERB	VerbForm=Inf	root	root
8	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	7 catch	obj
9	?	?	PUNCT	_	7 catch	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not catch	past · do-support	Watanabe	Ngl				Ngl vocative	vn get-13.5.1 «NP V NP»: agent=Agent he=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 horse was too tired

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 horse	det
2	horse	horse	NOUN	Number=Sing	5 tired	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 tired	cop
4	too	too	ADV	_	5 tired	advmod
5	tired	tired	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	the horse					tired property	tree rules

Option 2 · ✓ the right answer

The ogre was too fast

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 ogre	det
2	ogre	ogre	NOUN	Number=Sing	5 fast	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 fast	cop
4	too	too	ADV	_	5 fast	advmod
5	fast	fast	ADV	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	the ogre					fast property	tree rules

Option 3

Horse was slow

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Horse	horse	NOUN	Number=Sing	3 slow	nsubj
2	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	3 slow	cop
3	slow	slow	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	Horse					slow property	tree rules

Option 4

The road was too steep

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 road	det
2	road	road	NOUN	Number=Sing	5 steep	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 steep	cop
4	too	too	ADV	_	5 steep	advmod
5	steep	steep	ADJ	Degree=Pos	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	past	the road					steep property	tree rules

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/1383-pg4018-part43/t4/