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Test 4 · ★ · Texting, abbreviations and emoji

Your Canadian cousin texts "brb, grabbing a double-double eh." ("Double-double" is a coffee with two creams and two sugars.) What does "brb" tell you?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Canadian cousin, Double double · What happens: text, grab, be, brb, tell · To what, where: brb, double eh, coffee, you · Speech: someone speaks here

This is test 4 · ★ of lesson 30 «Texting, abbreviations and emoji» of the language 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: Your Canadian cousin texts "brb, grabbing a double-double eh."

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	3 cousin	nmod:poss
2	Canadian	Canadian	ADJ	Degree=Pos	3 cousin	amod
3	cousin	cousin	NOUN	Number=Sing	4 texts	nsubj
4	texts	text	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
5	"	"	PUNCT	_	6 brb	punct
6	brb	brb	NOUN	Number=Sing	4 texts	obj
7	,	,	PUNCT	_	8 grabbing	punct
8	grabbing	grab	VERB	Tense=Pres VerbForm=Part	4 texts	advcl
9	a	a	DET	Definite=Ind PronType=Art	13 eh	det
10	double	double	ADJ	Degree=Pos	12 double	amod
11	-	-	PUNCT	_	10 double	punct
12	double	double	ADJ	Degree=Pos	13 eh	amod
13	eh	eh	NOUN	Number=Sing	8 grabbing	obj
14	.	.	PUNCT	_	4 texts	punct
15	"	"	PUNCT	_	4 texts	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	text	present	Your Canadian cousin	brb					tree rules
2	grab in a quote	gerund	Your Canadian cousin not said here	a double eh					vn steal-10.5-1 «NP V NP»: agent=Agent eh=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: ("Double-double" is a coffee with two creams and two sugars.)

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	(	(	PUNCT	_	9 coffee	punct
2	"	"	PUNCT	_	5 double	punct
3	Double	double	ADJ	Degree=Pos	5 double	amod
4	-	-	PUNCT	_	3 Double	punct
5	double	double	NOUN	Number=Sing	9 coffee	nsubj
6	"	"	PUNCT	_	5 double	punct
7	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	9 coffee	cop
8	a	a	DET	Definite=Ind PronType=Art	9 coffee	det
9	coffee	coffee	NOUN	Number=Sing	root	root
10	with	with	ADP	_	12 creams	case
11	two	two	NUM	NumForm=Word NumType=Card	12 creams	nummod
12	creams	cream	NOUN	Number=Plur	9 coffee	nmod
13	and	and	CCONJ	_	15 sugars	cc
14	two	two	NUM	NumForm=Word NumType=Card	15 sugars	nummod
15	sugars	sugar	NOUN	Number=Plur	12 creams	conj
16	.	.	PUNCT	_	9 coffee	punct
17	)	)	PUNCT	_	9 coffee	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	present	Double double	a coffee				with two creams and two sugars	tree rules

Sentence 3: What does "brb" tell you?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	4 brb	obj
2	does	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 brb	aux
3	"	"	PUNCT	_	4 brb	punct
4	brb	brb	VERB	Mood=Imp VerbForm=Fin	root	root
5	"	"	PUNCT	_	4 brb	punct
6	tell	tell	VERB	Mood=Imp VerbForm=Fin	4 brb	conj
7	you	you	PRON	Case=Acc Person=2 PronType=Prs	6 tell	iobj
8	?	?	PUNCT	_	4 brb	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	brb in a quote	present · do-support							tree rules
2	tell speech: assert	infinitive			you				vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent you=Recipient

The options

Option 1 · ← Mova's choice

He's going to bed

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	He	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	3 going	nsubj
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 going	aux
3	going	go	VERB	Tense=Pres VerbForm=Part	root	root
4	to	to	PART	_	5 bed	mark
5	bed	bed	NOUN	Number=Sing	3 going	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	go	present · progressive	He	bed					vn disappearance-48.2-1 «NP V»: agent=Theme

Option 2

He's being rude

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	He	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	4 rude	nsubj
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 rude	cop
3	being	be	AUX	Tense=Pres VerbForm=Part	4 rude	cop
4	rude	rude	ADJ	Degree=Pos	root	root

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

Option 3 · ✓ the right answer

He'll be right back

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	He	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	3 be	nsubj
2	'll	will	AUX	VerbForm=Fin	3 be	aux
3	be	be	VERB	VerbForm=Inf	root	root
4	right	right	ADV	_	5 back	advmod
5	back	back	ADV	_	3 be	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	be	future	He						vn exist-47.1 «NP V»: agent=Theme

Option 4

He's got to go for good

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	He	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	3 got	nsubj
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 got	aux
3	got	get	VERB	Tense=Past VerbForm=Part	root	root
4	to	to	PART	_	5 go	mark
5	go	go	VERB	VerbForm=Inf	3 got	xcomp
6	for	for	ADP	_	7 good	case
7	good	good	ADJ	Degree=Pos	5 go	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	get	present · passive	He						vn comprehend-87.2-1 «NP V how S_INF»: agent=Experiencer clause=Stimulus
2	go	to-infinitive	He not said here					for good	vn help-72.1-2 «NP V PP.beneficiary»: agent=Agent for good=Beneficiary

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/language/30-texting-abbreviations-and-emoji/t4/