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Test 1 · Reading a dog's body language

Max, a dog in Texas, is lying very still with his ears back and his tail tucked under. What is Max saying?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: Max · What happens: lie, tuck, say · To what, where: tail · Speech: someone speaks here

This is test 1 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

Sentence 1: Max, a dog in Texas, is lying very still with his ears back and his tail tucked under.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Max	Max	PROPN	Number=Sing	9 lying	nsubj
2	,	,	PUNCT	_	4 dog	punct
3	a	a	DET	Definite=Ind PronType=Art	4 dog	det
4	dog	dog	NOUN	Number=Sing	1 Max	appos
5	in	in	ADP	_	6 Texas	case
6	Texas	Texas	PROPN	Number=Sing	4 dog	nmod
7	,	,	PUNCT	_	1 Max	punct
8	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	9 lying	aux
9	lying	lie	VERB	Tense=Pres VerbForm=Part	root	root
10	very	very	ADV	_	11 still	advmod
11	still	still	ADV	_	9 lying	advmod
12	with	with	ADP	_	14 ears	case
13	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	14 ears	nmod:poss
14	ears	ear	NOUN	Number=Plur	9 lying	obl
15	back	back	ADV	_	14 ears	advmod
16	and	and	CCONJ	_	18 tail	cc
17	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	18 tail	nmod:poss
18	tail	tail	NOUN	Number=Sing	14 ears	conj
19	tucked	tuck	VERB	Tense=Past VerbForm=Part Voice=Pass	18 tail	acl
20	under	under	ADP	_	19 tucked	obl
21	.	.	PUNCT	_	9 lying	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	lie	present · progressive	Max				still	with Max's ears and Max's tail	vn assuming_position-50 «NP V»: agent=Agent
2	tuck	participle		Max's tail not said here					vn funnel-9.3-1 «NP V NP PP.destination»: agent=Agent

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: What is Max saying?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	4 saying	obj
2	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	4 saying	aux
3	Max	Max	PROPN	Number=Sing	4 saying	nsubj
4	saying	say	VERB	Tense=Pres VerbForm=Part	root	root
5	?	?	PUNCT	_	4 saying	punct

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

The options

Option 1

I am happy to see you

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 happy	nsubj
2	am	be	AUX	Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin	3 happy	cop
3	happy	happy	ADJ	Degree=Pos	root	root
4	to	to	PART	_	5 see	mark
5	see	see	VERB	VerbForm=Inf	3 happy	xcomp
6	you	you	PRON	Case=Acc Person=2 PronType=Prs	5 see	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	I					happy property	tree rules
2	see	to-infinitive	I not said here	you					vn comprehend-87.2-1-1 «NP V NP»: agent=Experiencer you=Stimulus

Option 2 · ← Mova's choice · ✓ the right answer

I am scared, leave me alone

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 scared	nsubj
2	am	be	AUX	Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin	3 scared	cop
3	scared	scared	ADJ	Degree=Pos	root	root
4	,	,	PUNCT	_	5 leave	punct
5	leave	leave	VERB	VerbForm=Inf	3 scared	parataxis
6	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	5 leave	obj
7	alone	alone	ADV	_	5 leave	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is	present	I					scared property	tree rules
2	leave	infinitive		me				alone property	vn keep-15.2 «NP V NP»: agent=Agent i=Theme

Option 3

Please give me a big hug

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Please	please	INTJ	_	2 give	discourse
2	give	give	VERB	Mood=Imp VerbForm=Fin	root	root
3	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	2 give	iobj
4	a	a	DET	Definite=Ind PronType=Art	6 hug	det
5	big	big	ADJ	Degree=Pos	6 hug	amod
6	hug	hug	NOUN	Number=Sing	2 give	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	give	imperative	you not said here	a big hug	me				vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent i=Recipient hug=Theme

Option 4

Come and play with me now

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Come	come	VERB	Mood=Imp VerbForm=Fin	root	root
2	and	and	CCONJ	_	3 play	cc
3	play	play	VERB	Mood=Imp VerbForm=Fin	1 Come	conj
4	with	with	ADP	_	5 me	case
5	me	I	PRON	Case=Acc Number=Sing Person=1 PronType=Prs	3 play	obl
6	now	now	ADV	PronType=Dem	1 Come	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	come	imperative	you not said here				now		vn escape-51.1-1 «NP V»: agent=Theme
2	play	infinitive	you not said here					with me	vn play-114.2-1 «NP V PP.co-agent»: agent=Agent with i=Co-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/t1/