Test 5 · ★ · Aesop's Fables, The Lion and the Shepherd: a Shepherd pull…

Lowkey that thorn thing was gross, how deep was it, like, in the paw?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: Lowkey · What happens: thorn, be · To what, where: thing

This is test 5 · ★ of lesson 405 «Aesop's Fables, The Lion and the Shepherd: a Shepherd pulls a thorn from a Lion's paw, and the Lion later spares him» 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

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Lowkey	lowkey	NOUN	Number=Sing	6 gross	nsubj
2	that	that	PRON	PronType=Rel	3 thorn	nsubj
3	thorn	thorn	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	1 Lowkey	acl:relcl
4	thing	thing	NOUN	Number=Sing	3 thorn	obj
5	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	6 gross	cop
6	gross	gross	ADJ	Degree=Pos	root	root
7	,	,	PUNCT	_	11 it	punct
8	how	how	ADV	PronType=Int	9 deep	advmod
9	deep	deep	ADV	_	11 it	advmod
10	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	11 it	cop
11	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	6 gross	advcl
12	,	,	PUNCT	_	17 paw	punct
13	like	like	ADP	_	17 paw	case
14	,	,	PUNCT	_	13 like	punct
15	in	in	ADP	_	17 paw	case
16	the	the	DET	Definite=Def PronType=Art	17 paw	det
17	paw	paw	NOUN	Number=Sing	6 gross	conj
18	?	?	PUNCT	_	6 gross	punct

#	verb	tense, mood	who	what, whom	other	roles by
1	thorn	present	Lowkey	thing		tree rules
2	is	past	Lowkey		gross property	tree rules
3	is a	past	Lowkey not said here	thing	deep property	tree rules

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

Deep enough to hurt badly

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Deep	deep	ADJ	Degree=Pos	root	root
2	enough	enough	ADV	_	1 Deep	advmod
3	to	to	PART	_	4 hurt	mark
4	hurt	hurt	VERB	VerbForm=Inf	1 Deep	advcl
5	badly	badly	ADV	Degree=Pos	4 hurt	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	hurt	to-infinitive						badly property	vn amuse-31.1 «NP V ADV-Middle»: agent=Experiencer

Option 2 · ✓ the right answer

Deep enough to make him limp

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Deep	deep	ADJ	Degree=Pos	root	root
2	enough	enough	ADV	_	1 Deep	advmod
3	to	to	PART	_	4 make	mark
4	make	make	VERB	VerbForm=Inf	1 Deep	advcl
5	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	4 make	obj
6	limp	limp	VERB	VerbForm=Inf	4 make	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	make	to-infinitive		him = he					tree rules
2	limp	infinitive	him = he not said here						vn run-51.3.2 «NP V»: agent=Theme

Option 3

Deep enough to bleed a lot

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Deep	deep	ADJ	Degree=Pos	root	root
2	enough	enough	ADV	_	1 Deep	advmod
3	to	to	PART	_	4 bleed	mark
4	bleed	bleed	VERB	VerbForm=Inf	1 Deep	advcl
5	a	a	DET	Definite=Ind PronType=Art	6 lot	det
6	lot	lot	NOUN	Number=Sing	4 bleed	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	bleed	to-infinitive		a lot					vn substance_emission-43.4-1-1 «NP V NP.source»: agent=Agent lot=Source

Option 4

Pretty deep

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Pretty	pretty	ADV	_	2 deep	advmod
2	deep	deep	ADJ	Degree=Pos	root	root

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

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/405-pg21-part26/t5/