Test 10 · ★ · Tanglewood Tales, The Pygmies, part 12: Hercules lifts the…

How did Hercules think the Pygmy wailing sounded?

Mova's choice: option 4 · The right answer: option 2 · wrong ✗ · Who acts: Hercules · What happens: think, sound · To what, where: Pygmy wailing

This is test 10 · ★ of lesson 2053 «Tanglewood Tales, The Pygmies, part 12: Hercules lifts the Giant off the ground and wins, then the Pygmies plan revenge» 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	How	how	ADV	PronType=Int	4 think	advmod
2	did	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	4 think	aux
3	Hercules	Hercules	PROPN	Number=Sing	4 think	nsubj
4	think	think	VERB	VerbForm=Inf	root	root
5	the	the	DET	Definite=Def PronType=Art	7 wailing	det
6	Pygmy	pygmy	ADJ	Degree=Pos	7 wailing	amod
7	wailing	wailing	NOUN	Number=Sing	4 think	obj
8	sounded	sound	VERB	Tense=Past VerbForm=Part Voice=Pass	7 wailing	acl
9	?	?	PUNCT	_	4 think	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	think speech: other	past · do-support	Hercules	the Pygmy wailing					vn wish-62 «NP V NP»: agent=Pivot wailing=Theme
2	sound	participle		the Pygmy wailing not said here					vn stimulus_subject-30.4 «NP V PP.attribute»: agent=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

Like tiny frogs croaking.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Like	like	ADP	_	3 frogs	case
2	tiny	tiny	ADJ	Degree=Pos	3 frogs	amod
3	frogs	frog	NOUN	Number=Plur	4 croaking	obl
4	croaking	croak	VERB	Tense=Pres VerbForm=Part	root	root
5	.	.	PUNCT	_	4 croaking	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	croak	gerund						like tiny frogs	vn animal_sounds-38 «NP V»: agent=Agent

Option 2 · ✓ the right answer

Like little birds tweeting.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Like	like	ADP	_	3 birds	case
2	little	little	ADJ	Degree=Pos	3 birds	amod
3	birds	bird	NOUN	Number=Plur	4 tweeting	obl
4	tweeting	tweet	VERB	Tense=Pres VerbForm=Part	root	root
5	.	.	PUNCT	_	4 tweeting	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	tweet	gerund						like little birds	vn animal_sounds-38 «NP V»: agent=Agent

Option 3

Like little birds tweeting happily in the trees above the sleepy hero.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Like	like	ADP	_	3 birds	case
2	little	little	ADJ	Degree=Pos	3 birds	amod
3	birds	bird	NOUN	Number=Plur	root	root
4	tweeting	tweet	VERB	VerbForm=Ger	3 birds	acl
5	happily	happily	ADV	_	4 tweeting	advmod
6	in	in	ADP	_	8 trees	case
7	the	the	DET	Definite=Def PronType=Art	8 trees	det
8	trees	tree	NOUN	Number=Plur	4 tweeting	obl
9	above	above	ADP	_	12 hero	case
10	the	the	DET	Definite=Def PronType=Art	12 hero	det
11	sleepy	sleepy	ADJ	Degree=Pos	12 hero	amod
12	hero	hero	NOUN	Number=Sing	8 trees	nmod
13	.	.	PUNCT	_	3 birds	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	tweet	gerund	little birds not said here			the trees above the sleepy hero		happily property	vn animal_sounds-38 «NP V»: agent=Agent

Option 4 · ← Mova's choice

Like birds.

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Like	like	ADP	_	2 birds	case
2	birds	bird	NOUN	Number=Plur	root	root
3	.	.	PUNCT	_	2 birds	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/2053-pg976-part12/t10/