Test 3 · ★ · Aesop for Children, The Town Mouse and the Country Mouse:…

Did the Town Mouse wolf her food down, or nibble it?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · What happens: nibble · To what, where: food

This is test 3 · ★ of lesson 363 «Aesop for Children, The Town Mouse and the Country Mouse: a country mouse visits her city cousin and flees a cat and dog» 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	Did	do	AUX	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	11 nibble	aux
2	the	the	DET	Definite=Def PronType=Art	5 wolf	det
3	Town	Town	PROPN	Number=Sing	4 Mouse	compound
4	Mouse	Mouse	PROPN	Number=Sing	5 wolf	compound
5	wolf	wolf	NOUN	Number=Sing	1 Did	obj
6	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	7 food	nmod:poss
7	food	food	NOUN	Number=Sing	1 Did	obj
8	down	down	ADV	_	1 Did	advmod
9	,	,	PUNCT	_	11 nibble	punct
10	or	or	CCONJ	_	11 nibble	cc
11	nibble	nibble	VERB	Mood=Imp VerbForm=Fin	root	root
12	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	11 nibble	obj
13	?	?	PUNCT	_	11 nibble	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	nibble	past · do-support		food					vn chew-39.2 «NP V NP»: agent=Agent it=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 · ← Mova's choice

Nibbled it, very fast

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Nibbled	nibble	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Nibbled	obj
3	,	,	PUNCT	_	1 Nibbled	punct
4	very	very	ADV	_	5 fast	advmod
5	fast	fast	ADV	Degree=Pos	1 Nibbled	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	nibble	past		it				fast property	vn chew-39.2 «NP V NP»: agent=Agent it=Patient

Option 2

Wolfed it

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Wolfed	wolf	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Wolfed	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	wolf	past		it					vn gobble-39.3-1 «NP V NP up»: agent=Agent it=Patient

Option 3

Gobbled it, quite rudely

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Gobbled	gobble	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Gobbled	obj
3	,	,	PUNCT	_	5 rudely	punct
4	quite	quite	ADV	_	5 rudely	advmod
5	rudely	rudely	ADV	_	1 Gobbled	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	gobble	past		it				rudely property	vn animal_sounds-38 «NP V NP.theme»: agent=Agent it=Theme

Option 4 · ✓ the right answer

nibbled it, dead polite

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	nibbled	nibble	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 nibbled	obj
3	,	,	PUNCT	_	1 nibbled	punct
4	dead	dead	ADJ	Degree=Pos	5 polite	amod
5	polite	polite	ADJ	Degree=Pos	1 nibbled	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	nibble	past		it				polite property	vn chew-39.2 «NP V NP»: agent=Agent it=Patient

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/363-pg19994-part2/t3/