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Test 4 · ★★★ · Alice in Wonderland, chapter XII, part 1: Alice's Evidence…

Sam: «Alice said she knew loads about the tarts, no cap.» (no cap = honestly) Put it right.

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: Alice, cap · What happens: say, know, put · To what, where: loads, cap · Speech: someone speaks here

This is test 4 · ★★★ of lesson 23 «Alice in Wonderland, chapter XII, part 1: Alice's Evidence (Rule Forty-two and the unsigned letter)» 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: Sam: «Alice said she knew loads about the tarts, no cap.»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Sam	Sam	PROPN	Number=Sing	root	root
2	:	:	PUNCT	_	5 said	punct
3	«	«	PUNCT	_	5 said	punct
4	Alice	Alice	PROPN	Number=Sing	5 said	nsubj
5	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	1 Sam	parataxis
6	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	7 knew	nsubj
7	knew	know	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 said	ccomp
8	loads	load	NOUN	Number=Plur	7 knew	obj
9	about	about	ADP	_	11 tarts	case
10	the	the	DET	Definite=Def PronType=Art	11 tarts	det
11	tarts	tart	NOUN	Number=Plur	8 loads	nmod
12	,	,	PUNCT	_	14 cap	punct
13	no	no	DET	PronType=Neg	14 cap	det
14	cap	cap	NOUN	Number=Sing	1 Sam	parataxis
15	.	.	PUNCT	_	1 Sam	punct
16	»	»	PUNCT	_	1 Sam	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert in a quote	past	Alice						vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic
2	know in a quote	past	Alice	loads				about the tarts	vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer load=Stimulus

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: (no cap = honestly) Put it right.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	(	(	PUNCT	_	3 cap	punct
2	no	no	DET	PronType=Neg	3 cap	det
3	cap	cap	NOUN	Number=Sing	root	root
4	=	=	SYM	_	7 Put	punct
5	honestly	honestly	ADV	_	7 Put	advmod
6	)	)	PUNCT	_	5 honestly	punct
7	Put	put	VERB	VerbForm=Inf	3 cap	acl:relcl
8	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	7 Put	obj
9	right	right	ADV	_	7 Put	advmod
10	.	.	PUNCT	_	3 cap	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	put	infinitive	no cap not said here	cap				honestly, right property	vn invest-13.5.4-1 «NP V PP»: agent=Agent it=Goal

The options

Option 1 · ← Mova's choice

She said «Something» — «Quite a lot»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 said	nsubj
2	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	«	«	PUNCT	_	4 Something	punct
4	Something	something	PRON	Number=Sing PronType=Ind	2 said	obj
5	»	»	PUNCT	_	4 Something	punct
6	—	-	PUNCT	_	2 said	punct
7	«	«	PUNCT	_	10 lot	punct
8	Quite	quite	DET	PronType=Ind	10 lot	det:predet
9	a	a	DET	Definite=Ind PronType=Art	10 lot	det
10	lot	lot	NOUN	Number=Sing	2 said	obl
11	»	»	PUNCT	_	10 lot	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past	She	Something				quite lot obl	vn say-37.7-1-1 «NP V NP.topic»: agent=Agent something=Topic

Option 2 · ✓ the right answer

She said «Nothing» — «Nothing whatever»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 said	nsubj
2	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	«	«	PUNCT	_	4 Nothing	punct
4	Nothing	nothing	PRON	Number=Sing PronType=Neg	2 said	obj
5	»	»	PUNCT	_	4 Nothing	punct
6	—	-	PUNCT	_	2 said	punct
7	«	«	PUNCT	_	8 Nothing	punct
8	Nothing	nothing	PRON	Number=Sing PronType=Neg	2 said	parataxis
9	whatever	whatever	PRON	PronType=Rel	8 Nothing	appos
10	»	»	PUNCT	_	8 Nothing	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past	She	Nothing					tree rules

Option 3

She said «Everything» — «Nothing»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 said	nsubj
2	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	«	«	PUNCT	_	4 Everything	punct
4	Everything	everything	PRON	Number=Sing PronType=Tot	2 said	obj
5	»	»	PUNCT	_	4 Everything	punct
6	—	-	PUNCT	_	8 Nothing	punct
7	«	«	PUNCT	_	8 Nothing	punct
8	Nothing	nothing	PRON	Number=Sing PronType=Neg	2 said	ccomp
9	»	»	PUNCT	_	8 Nothing	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past	She	Everything					vn say-37.7-1-1 «NP V NP.topic»: agent=Agent everything=Topic

Option 4

She said «Tarts» — «Lots of tarts»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	She	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	2 said	nsubj
2	said	say	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	«	«	PUNCT	_	4 Tarts	punct
4	Tarts	tart	NOUN	Number=Plur	2 said	obj
5	»	»	PUNCT	_	4 Tarts	punct
6	—	-	PUNCT	_	2 said	punct
7	«	«	PUNCT	_	8 Lots	punct
8	Lots	lot	NOUN	Number=Plur	2 said	parataxis
9	of	of	ADP	_	10 tarts	case
10	tarts	tart	NOUN	Number=Plur	8 Lots	nmod
11	»	»	PUNCT	_	8 Lots	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past	She	Tarts					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/23-alice-alices-evidence-1/t4/