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Test 10 · ★ · Wimp, scaredy-cat and other labels

Maddie: «don't be such a scaredy-cat, play Bulldog!» Sam doesn't want to. Best reply?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: Maddie, Sam · What happens: do, not be, play, not want · To what, where: scaredy cat, Bulldog

This is test 10 · ★ of lesson 367 «Wimp, scaredy-cat and other labels» of the everyday 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: Maddie: «don't be such a scaredy-cat, play Bulldog!»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Maddie	Maddie	PROPN	Number=Sing	13 play	nsubj
2	:	:	PUNCT	_	13 play	punct
3	«	«	PUNCT	_	4 do	punct
4	do	do	VERB	VerbForm=Inf	13 play	advcl
5	n't	not	PART	Polarity=Neg	11 cat	advmod
6	be	be	AUX	VerbForm=Inf	11 cat	cop
7	such	such	DET	PronType=Ind	11 cat	det:predet
8	a	a	DET	Definite=Ind PronType=Art	11 cat	det
9	scaredy	scaredy	NOUN	Number=Sing	11 cat	compound
10	-	-	PUNCT	_	9 scaredy	punct
11	cat	cat	NOUN	Number=Sing	4 do	obl
12	,	,	PUNCT	_	13 play	punct
13	play	play	VERB	Mood=Imp VerbForm=Fin	root	root
14	Bulldog	bulldog	NOUN	Number=Sing	13 play	obj
15	!	!	PUNCT	_	13 play	punct
16	»	»	PUNCT	_	13 play	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do in a quote	infinitive	Maddie not said here						vn act-114-1 «NP V»: agent=Agent
2	not is a in a quote	infinitive		such scaredy cat					tree rules
3	play in a quote	infinitive	Maddie	Bulldog					vn use-105.1 «NP V NP»: agent=Agent bulldog=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.

Sentence 2: Sam doesn't want to.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Sam	Sam	PROPN	Number=Sing	4 want	nsubj
2	does	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 want	aux
3	n't	not	PART	Polarity=Neg	4 want	advmod
4	want	want	VERB	VerbForm=Inf	root	root
5	to	to	PART	_	4 want	xcomp
6	.	.	PUNCT	_	4 want	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not want	present · do-support	Sam						vn want-32.1-1-1 «NP V NP S_INF»: agent=Pivot

Sentence 3: Best reply?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Best	good	ADJ	Degree=Sup	2 reply	amod
2	reply	reply	NOUN	Number=Sing	root	root
3	?	?	PUNCT	_	2 reply	punct

The frames reader finds no event or fact in this sentence.

The options

Option 1 · ← Mova's choice

«You're a scaredy-cat yourself, Maddie, not me»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	«	«	PUNCT	_	8 yourself	punct
2	You	you	PRON	Case=Nom Person=2 PronType=Prs	8 yourself	nsubj
3	're	be	AUX	Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin	8 yourself	cop
4	a	a	DET	Definite=Ind PronType=Art	7 cat	det
5	scaredy	scaredy	NOUN	Number=Sing	7 cat	compound
6	-	-	PUNCT	_	5 scaredy	punct
7	cat	cat	NOUN	Number=Sing	8 yourself	nsubj
8	yourself	yourself	PRON	Case=Acc Number=Sing Person=2 PronType=Prs Reflex=Yes	root	root
9	,	,	PUNCT	_	10 Maddie	punct
10	Maddie	Maddie	PROPN	Number=Sing	8 yourself	conj
11	,	,	PUNCT	_	13 me	punct
12	not	not	PART	Polarity=Neg	13 me	advmod
13	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	8 yourself	conj
14	»	»	PUNCT	_	13 me	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a in a quote	present	You	yourself					tree rules

Option 2 · ✓ the right answer

«Nah, not today. I'll play something else»

Sentence 1: «Nah, not today.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	«	«	PUNCT	_	2 Nah	punct
2	Nah	nah	INTJ	_	5 today	discourse
3	,	,	PUNCT	_	5 today	punct
4	not	not	PART	Polarity=Neg	5 today	advmod
5	today	today	NOUN	Number=Sing	root	root
6	.	.	PUNCT	_	5 today	punct

The frames reader finds no event or fact in this sentence.

Sentence 2: I'll play something else»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	3 play	nsubj
2	'll	will	AUX	VerbForm=Fin	3 play	aux
3	play	play	VERB	VerbForm=Inf	root	root
4	something	something	PRON	Number=Sing PronType=Ind	3 play	obj
5	else	else	ADV	_	4 something	advmod
6	»	»	PUNCT	_	3 play	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	play	future	I	something					vn use-105.1 «NP V NP»: agent=Agent something=Theme

Option 3

«Fine, I'll smash you all»

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	«	«	PUNCT	_	6 smash	punct
2	Fine	fine	INTJ	_	6 smash	discourse
3	,	,	PUNCT	_	2 Fine	punct
4	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	6 smash	nsubj
5	'll	will	AUX	VerbForm=Fin	6 smash	aux
6	smash	smash	VERB	VerbForm=Inf	root	root
7	you	you	PRON	Case=Acc Person=2 PronType=Prs	6 smash	obj
8	all	all	DET	PronType=Tot	7 you	nmod:unmarked
9	»	»	PUNCT	_	6 smash	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	smash in a quote	future	I	you					vn throw-17.1-1 «NP V NP»: agent=Agent you=Theme

Option 4

Burst into tears and run home

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Burst	burst	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	into	into	ADP	_	3 tears	case
3	tears	tear	NOUN	Number=Plur	1 Burst	obl
4	and	and	CCONJ	_	5 run	cc
5	run	run	VERB	VerbForm=Inf	1 Burst	conj
6	home	home	ADV	_	5 run	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	burst	past				tears			vn appear-48.1.1 «NP V»: agent=Theme
2	run	infinitive						home property	vn run-51.3.2-2-1 «NP V»: agent=Theme

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/everyday/367-wimp-scaredy-cat-and-other-labels/t10/