Mova0.5 pre-release⌕

☰

home / corpora / questions / Biology / Big snakes: pythons, boas and anaconda… / t6

Test 6 · ★ · Big snakes: pythons, boas and anacondas, and how big they…

In a cartoon a snake chews its dinner into small bits with big flat teeth. What would a real python do?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: snake, real python · What happens: chew, do · To what, where: dinner, cartoon

This is test 6 · ★ of lesson 321 «Big snakes: pythons, boas and anacondas, and how big they really get» 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: In a cartoon a snake chews its dinner into small bits with big flat teeth.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	In	in	ADP	_	3 cartoon	case
2	a	a	DET	Definite=Ind PronType=Art	3 cartoon	det
3	cartoon	cartoon	NOUN	Number=Sing	6 chews	obl
4	a	a	DET	Definite=Ind PronType=Art	5 snake	det
5	snake	snake	NOUN	Number=Sing	6 chews	nsubj
6	chews	chew	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
7	its	its	PRON	Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs	8 dinner	nmod:poss
8	dinner	dinner	NOUN	Number=Sing	6 chews	obj
9	into	into	ADP	_	11 bits	case
10	small	small	ADJ	Degree=Pos	11 bits	amod
11	bits	bit	NOUN	Number=Plur	6 chews	obl
12	with	with	ADP	_	15 teeth	case
13	big	big	ADJ	Degree=Pos	15 teeth	amod
14	flat	flat	ADJ	Degree=Pos	15 teeth	amod
15	teeth	tooth	NOUN	Number=Plur	11 bits	nmod
16	.	.	PUNCT	_	6 chews	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	chew	present	a snake	snake's dinner		a cartoon		into small bits with big flat teeth	vn chew-39.2 «NP V NP»: agent=Agent dinner=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.

Sentence 2: What would a real python do?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	6 do	obj
2	would	would	AUX	VerbForm=Fin	6 do	aux
3	a	a	DET	Definite=Ind PronType=Art	5 python	det
4	real	real	ADJ	Degree=Pos	5 python	amod
5	python	python	NOUN	Number=Sing	6 do	nsubj
6	do	do	VERB	VerbForm=Inf	root	root
7	?	?	PUNCT	_	6 do	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	would	a real python						vn act-114-1 «NP V NP»: agent=Agent what=Eventuality

The options

Option 1

Cut it into pieces with its spurs first

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Cut	cut	VERB	Mood=Imp VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Cut	obj
3	into	into	ADP	_	4 pieces	case
4	pieces	piece	NOUN	Number=Plur	1 Cut	obl
5	with	with	ADP	_	7 spurs	case
6	its	its	PRON	Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs	7 spurs	nmod:poss
7	spurs	spur	NOUN	Number=Plur	1 Cut	obl
8	first	first	ADV	NumForm=Word NumType=Ord	1 Cut	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	cut	imperative	you not said here	it				into pieces result; with its spurs; first property	vn cut-21.1-1 «NP V NP PP.result PP.instrument»: agent=Agent it=Patient into piece=Result with spur=Instrument
2	spur		its = it						nom spur «communication transitive»: poss=agent

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

Swallow it whole, usually head first

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Swallow	swallow	VERB	Mood=Imp VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Swallow	obj
3	whole	whole	ADJ	Degree=Pos	1 Swallow	xcomp
4	,	,	PUNCT	_	6 head	punct
5	usually	usually	ADV	_	6 head	advmod
6	head	head	NOUN	Number=Sing	1 Swallow	obl
7	first	first	ADV	NumForm=Word NumType=Ord	1 Swallow	advmod

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	swallow	imperative	you not said here	it				head obl; first, whole property	vn gobble-39.3 «NP V NP»: agent=Agent it=Patient

Option 3

Suck it up like a drink through a straw

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Suck	suck	VERB	Mood=Imp VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Suck	obj
3	up	up	ADP	_	1 Suck	compound:prt
4	like	like	ADP	_	6 drink	case
5	a	a	DET	Definite=Ind PronType=Art	6 drink	det
6	drink	drink	NOUN	Number=Sing	1 Suck	obl
7	through	through	ADP	_	9 straw	case
8	a	a	DET	Definite=Ind PronType=Art	9 straw	det
9	straw	straw	NOUN	Number=Sing	1 Suck	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	suck up	imperative	you not said here	it		a straw		like a drink	vn wipe_manner-10.4.1-1 «NP V NP.theme»: agent=Agent it=Theme

Option 4

Chew it slowly for an hour, like a cow

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Chew	chew	VERB	Mood=Imp VerbForm=Fin	root	root
2	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	1 Chew	obj
3	slowly	slowly	ADV	_	1 Chew	advmod
4	for	for	ADP	_	6 hour	case
5	an	a	DET	Definite=Ind PronType=Art	6 hour	det
6	hour	hour	NOUN	Number=Sing	1 Chew	obl
7	,	,	PUNCT	_	10 cow	punct
8	like	like	ADP	_	10 cow	case
9	a	a	DET	Definite=Ind PronType=Art	10 cow	det
10	cow	cow	NOUN	Number=Sing	1 Chew	parataxis

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	chew	imperative	you not said here	it			hour	slowly property	vn chew-39.2 «NP V NP»: agent=Agent it=Patient

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/321-big-snakes-pythons-boas-and-anacondas-and-how-big-they-really-get/t6/