Test 5 · ★ · Fairy Book, Prince Mannikin, part 26: the sailors land, Ki…

what did Mannikin say when he saw the dogs?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: Mannikin · What happens: say, see · To what, where: dogs · Speech: someone speaks here

This is test 5 · ★ of lesson 1889 «Fairy Book, Prince Mannikin, part 26: the sailors land, King Bayard tells his tale, and a monkey leads the Prince away» 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	what	what	PRON	PronType=Int	4 say	obj
2	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 say	aux
3	Mannikin	Mannikin	PROPN	Number=Sing	4 say	nsubj
4	say	say	VERB	VerbForm=Inf	root	root
5	when	when	ADV	PronType=Int	7 saw	advmod
6	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	7 saw	nsubj
7	saw	see	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 say	ccomp
8	the	the	DET	Definite=Def PronType=Art	9 dogs	det
9	dogs	dog	NOUN	Number=Plur	7 saw	obj
10	?	?	PUNCT	_	4 say	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	say speech: assert	past · do-support	Mannikin						tree rules
2	see	past	Mannikin	the dogs					vn comprehend-87.2-1-1 «NP V NP»: agent=Experiencer dog=Stimulus

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

Good dog!

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Good	good	ADJ	Degree=Pos	2 dog	amod
2	dog	dog	NOUN	Number=Sing	root	root
3	!	!	PUNCT	_	2 dog	punct

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

Option 2

Stop, you naughty beasts.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Stop	stop	VERB	Mood=Imp VerbForm=Fin	root	root
2	,	,	PUNCT	_	5 beasts	punct
3	you	you	PRON	Case=Nom Person=2 PronType=Prs	5 beasts	nsubj
4	naughty	naughty	ADJ	Degree=Pos	5 beasts	amod
5	beasts	beast	NOUN	Number=Plur	1 Stop	obl
6	.	.	PUNCT	_	1 Stop	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	stop	imperative	you not said here						vn stop-55.4-1-1 «NP.eventuality V»: agent=Eventuality
2	beast		you						tree rules

Option 3

Good morning, my friends.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Good	good	ADJ	Degree=Pos	2 morning	amod
2	morning	morning	NOUN	Number=Sing	root	root
3	,	,	PUNCT	_	5 friends	punct
4	my	my	PRON	Case=Gen Number=Sing Person=1 Poss=Yes PronType=Prs	5 friends	nmod:poss
5	friends	friend	NOUN	Number=Plur	2 morning	conj
6	.	.	PUNCT	_	2 morning	punct

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

Option 4 · ✓ the right answer

"Hi, good dog!"

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	"	"	PUNCT	_	5 dog	punct
2	Hi	hi	INTJ	_	5 dog	discourse
3	,	,	PUNCT	_	2 Hi	punct
4	good	good	ADJ	Degree=Pos	5 dog	amod
5	dog	dog	NOUN	Number=Sing	root	root
6	!	!	PUNCT	_	5 dog	punct
7	"	"	PUNCT	_	5 dog	punct

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/1889-pg7277-part26/t5/