Test 8 · ★★★ · Documentaries vs cartoons: added sounds, edited stories an…

A film follows «one lion» for a whole year. What might really have happened?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: film · What happens: follow, happen · To what, where: one lion

This is test 8 · ★★★ of lesson 395 «Documentaries vs cartoons: added sounds, edited stories and what is real» of the biology 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: A film follows «one lion» for a whole year.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	A	a	DET	Definite=Ind PronType=Art	2 film	det
2	film	film	NOUN	Number=Sing	3 follows	nsubj
3	follows	follow	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
4	«	«	PUNCT	_	6 lion	punct
5	one	one	NUM	NumForm=Word NumType=Card	6 lion	nummod
6	lion	lion	NOUN	Number=Sing	3 follows	obj
7	»	»	PUNCT	_	6 lion	punct
8	for	for	ADP	_	11 year	case
9	a	a	DET	Definite=Ind PronType=Art	11 year	det
10	whole	whole	ADJ	Degree=Pos	11 year	amod
11	year	year	NOUN	Number=Sing	3 follows	obl
12	.	.	PUNCT	_	3 follows	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	follow	present	a film	one lion			year		vn chase-51.6 «NP V NP»: agent=Agent lion=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: What might really have happened?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	5 happened	nsubj
2	might	might	AUX	VerbForm=Fin	5 happened	aux
3	really	really	ADV	_	5 happened	advmod
4	have	have	AUX	VerbForm=Inf	5 happened	aux
5	happened	happen	VERB	Tense=Past VerbForm=Part	root	root
6	?	?	PUNCT	_	5 happened	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	happen	might · perfect							vn occur-48.3-1 «NP V»: agent=Theme

The options

Option 1

One lion wore a camera for a whole year without a single break, even asleep

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	One	one	NUM	NumForm=Word NumType=Card	2 lion	nummod
2	lion	lion	NOUN	Number=Sing	3 wore	nsubj
3	wore	wear	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
4	a	a	DET	Definite=Ind PronType=Art	5 camera	det
5	camera	camera	NOUN	Number=Sing	3 wore	obj
6	for	for	ADP	_	9 year	case
7	a	a	DET	Definite=Ind PronType=Art	9 year	det
8	whole	whole	ADJ	Degree=Pos	9 year	amod
9	year	year	NOUN	Number=Sing	3 wore	obl
10	without	without	ADP	_	13 break	case
11	a	a	DET	Definite=Ind PronType=Art	13 break	det
12	single	single	ADJ	Degree=Pos	13 break	amod
13	break	break	NOUN	Number=Sing	3 wore	obl
14	,	,	PUNCT	_	16 asleep	punct
15	even	even	ADV	_	16 asleep	advmod
16	asleep	asleep	ADJ	Degree=Pos	13 break	acl:relcl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	wear	past	One lion	a camera			year	without a single break	vn wipe_manner-10.4.1-1 «NP V NP.source»: agent=Agent camera=Source

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

Shots of several similar lions may have been joined, and good films say so

The tree, 14 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Shots	shot	NOUN	Number=Plur	9 joined	nsubj:pass
2	of	of	ADP	_	5 lions	case
3	several	several	ADJ	Degree=Pos	5 lions	amod
4	similar	similar	ADJ	Degree=Pos	5 lions	amod
5	lions	lion	NOUN	Number=Plur	1 Shots	nmod
6	may	may	AUX	VerbForm=Fin	9 joined	aux
7	have	have	AUX	VerbForm=Inf	9 joined	aux
8	been	be	AUX	Tense=Past VerbForm=Part	9 joined	aux:pass
9	joined	join	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
10	,	,	PUNCT	_	14 say	punct
11	and	and	CCONJ	_	14 say	cc
12	good	good	ADJ	Degree=Pos	13 films	amod
13	films	film	NOUN	Number=Plur	14 say	nsubj
14	say	say	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	9 joined	conj
15	so	so	ADV	_	14 say	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	join	may · perfect · passive		Shots of several similar lions					vn mix-22.1-2-1 «NP V NP»: subject=Patient
2	say speech: assert	present	good films						vn say-37.7-1-1 «NP V that S»: agent=Agent

Option 3

The lion was painted on paper

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 lion	det
2	lion	lion	NOUN	Number=Sing	4 painted	nsubj:pass
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 painted	aux:pass
4	painted	paint	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
5	on	on	ADP	_	6 paper	case
6	paper	paper	NOUN	Number=Sing	4 painted	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	paint	past · passive		the lion		paper			vn image_impression-25.1 «NP V NP.theme PP.destination»: subject=Theme on paper=Destination

Option 4

The lion was a robot

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	The	the	DET	Definite=Def PronType=Art	2 lion	det
2	lion	lion	NOUN	Number=Sing	5 robot	nsubj
3	was	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 robot	cop
4	a	a	DET	Definite=Ind PronType=Art	5 robot	det
5	robot	robot	NOUN	Number=Sing	root	root

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	is a	past	the lion	a robot					tree rules

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/biology/395-documentaries-vs-cartoons-added-sounds-edited-stories-and-what-is-real/t8/