Test 13 · Reading a dog's body language

our own dog won't bite me tho

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: own dog · What happens: not bite · To what, where: me

This is test 13 of lesson 21 «Reading a dog's body language» 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

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	our	our	PRON	Case=Gen Number=Plur Person=1 Poss=Yes PronType=Prs	3 dog	nmod:poss
2	own	own	ADJ	Degree=Pos	3 dog	amod
3	dog	dog	NOUN	Number=Sing	6 bite	nsubj
4	wo	will	AUX	VerbForm=Fin	6 bite	aux
5	n't	not	PART	Polarity=Neg	6 bite	advmod
6	bite	bite	VERB	VerbForm=Inf	root	root
7	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	6 bite	obj
8	tho	tho	PUNCT	_	6 bite	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not bite	future	our own dog	me					vn swat-18.2 «NP V NP»: agent=Agent i=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 · ✓ the right answer

Most bites come from dogs kids know

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Most	most	ADJ	Degree=Sup	2 bites	amod
2	bites	bite	NOUN	Number=Plur	3 come	nsubj
3	come	come	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
4	from	from	ADP	_	5 dogs	case
5	dogs	dog	NOUN	Number=Plur	3 come	obl
6	kids	kid	NOUN	Number=Plur	7 know	nsubj
7	know	know	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	5 dogs	acl:relcl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	come	present	Most bites					from dogs	vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme from dog=Initial_Location
2	know	present	kids	dogs not said here					vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer dog=Stimulus

Option 2

Family dogs never bite

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Family	family	NOUN	Number=Sing	2 dogs	compound
2	dogs	dog	NOUN	Number=Plur	4 bite	nsubj
3	never	never	ADV	PronType=Neg	4 bite	advmod
4	bite	bite	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	not bite	present	Family dogs						vn swat-18.2 «NP V PP»: agent=Agent

Option 3

Only big dogs bite

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Only	only	ADV	_	3 dogs	advmod
2	big	big	ADJ	Degree=Pos	3 dogs	amod
3	dogs	dog	NOUN	Number=Plur	4 bite	nsubj
4	bite	bite	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	bite	present	big dogs						vn swat-18.2 «NP V PP»: agent=Agent

Option 4

Only strange dogs bite, never your own

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Only	only	ADV	_	3 dogs	advmod
2	strange	strange	ADJ	Degree=Pos	3 dogs	amod
3	dogs	dog	NOUN	Number=Plur	4 bite	nsubj
4	bite	bite	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	root	root
5	,	,	PUNCT	_	8 own	punct
6	never	never	ADV	PronType=Neg	8 own	advmod
7	your	your	PRON	Case=Gen Person=2 Poss=Yes PronType=Prs	8 own	nmod:poss
8	own	own	ADJ	Degree=Pos	4 bite	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	bite	present	strange dogs						vn swat-18.2 «NP V PP»: agent=Agent

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/21-reading-a-dog/t13/