Test 10 · ★ · Andersen's Fairy Tales, The Real Princess: a Prince tests…

she's soaking wet, what does she look like?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: she · What happens: soak, look

This is test 10 · ★ of lesson 276 «Andersen's Fairy Tales, The Real Princess: a Prince tests a wet visitor with three peas» 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	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	3 soaking	nsubj
2	's	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	3 soaking	aux
3	soaking	soak	VERB	Tense=Pres VerbForm=Part	root	root
4	wet	wet	ADJ	Degree=Pos	3 soaking	xcomp
5	,	,	PUNCT	_	9 look	punct
6	what	what	PRON	PronType=Rel	9 look	obl
7	does	do	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	9 look	aux
8	she	she	PRON	Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs	9 look	nsubj
9	look	look	VERB	VerbForm=Inf	3 soaking	parataxis
10	like	like	ADP	_	9 look	obl
11	?	?	PUNCT	_	3 soaking	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	soak	present · progressive	she					wet property	vn other_cos-45.4 «NP.patient V»: agent=Patient
2	look	present · do-support	she						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 · ← Mova's choice

hair messy, face pale, dress torn

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	hair	hair	NOUN	Number=Sing	2 messy	nsubj
2	messy	messy	ADJ	Degree=Pos	root	root
3	,	,	PUNCT	_	5 pale	punct
4	face	face	NOUN	Number=Sing	5 pale	nsubj
5	pale	pale	ADJ	Degree=Pos	2 messy	conj
6	,	,	PUNCT	_	7 dress	punct
7	dress	dress	VERB	VerbForm=Inf	2 messy	conj
8	torn	tear	VERB	Tense=Past VerbForm=Part Voice=Pass	7 dress	xcomp

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	dress	infinitive							tree rules
2	tear	participle							vn run-51.3.2 «NP V»: agent=Theme

Option 2

hair dripping, clothes stuck to her body, and a long wet cloak trailing behind on the floor

The tree, 17 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	hair	hair	NOUN	Number=Sing	root	root
2	dripping	drip	VERB	VerbForm=Ger	1 hair	acl
3	,	,	PUNCT	_	4 clothes	punct
4	clothes	clothes	NOUN	Number=Ptan	1 hair	conj
5	stuck	stick	VERB	Tense=Past VerbForm=Part Voice=Pass	4 clothes	acl
6	to	to	ADP	_	8 body	case
7	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	8 body	nmod:poss
8	body	body	NOUN	Number=Sing	5 stuck	obl
9	,	,	PUNCT	_	14 cloak	punct
10	and	and	CCONJ	_	14 cloak	cc
11	a	a	DET	Definite=Ind PronType=Art	14 cloak	det
12	long	long	ADJ	Degree=Pos	14 cloak	amod
13	wet	wet	ADJ	Degree=Pos	14 cloak	amod
14	cloak	cloak	NOUN	Number=Sing	1 hair	conj
15	trailing	trail	VERB	VerbForm=Ger	14 cloak	acl
16	behind	behind	ADV	_	15 trailing	advmod
17	on	on	ADP	_	19 floor	case
18	the	the	DET	Definite=Def PronType=Art	19 floor	det
19	floor	floor	NOUN	Number=Sing	15 trailing	obl

#	verb	tense, mood	who	what, whom	where	other	roles by
1	drip	gerund	hair and clothes and a long wet cloak not said here				vn substance_emission-43.4-1 «NP V»: agent=Source
2	stick	participle		clothes not said here		to her body	vn shake-22.3-2 «NP V NP PP»: agent=Agent to body=Co-Patient
3	trail behind	gerund	a long wet cloak not said here		the floor	behind property	vn chase-51.6 «NP V NP PP.location»: agent=Agent on floor=Trajectory

Option 3

hair dripping wet, clothes stuck to her like paper, and mud all over her boots

The tree, 15 words

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	hair	hair	NOUN	Number=Sing	root	root
2	dripping	drip	VERB	VerbForm=Ger	1 hair	acl
3	wet	wet	ADJ	Degree=Pos	2 dripping	xcomp
4	,	,	PUNCT	_	5 clothes	punct
5	clothes	clothes	NOUN	Number=Ptan	1 hair	conj
6	stuck	stick	VERB	Tense=Past VerbForm=Part Voice=Pass	5 clothes	acl
7	to	to	ADP	_	8 her	case
8	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	6 stuck	obl
9	like	like	ADP	_	10 paper	case
10	paper	paper	NOUN	Number=Sing	6 stuck	obl
11	,	,	PUNCT	_	13 mud	punct
12	and	and	CCONJ	_	13 mud	cc
13	mud	mud	NOUN	Number=Sing	1 hair	conj
14	all	all	ADV	_	17 boots	advmod
15	over	over	ADP	_	17 boots	case
16	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	17 boots	nmod:poss
17	boots	boot	NOUN	Number=Plur	1 hair	conj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	drip	gerund	hair and clothes and mud and her boots not said here					wet property	vn substance_emission-43.4-1 «NP V»: agent=Source
2	stick	participle		clothes not said here	her = she			like paper	vn shake-22.3-2 «NP V ADV-Middle»: agent=Patient

Option 4 · ✓ the right answer

hair dripping, clothes stuck to her

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	hair	hair	NOUN	Number=Sing	root	root
2	dripping	drip	VERB	VerbForm=Ger	1 hair	acl
3	,	,	PUNCT	_	4 clothes	punct
4	clothes	clothes	NOUN	Number=Ptan	1 hair	conj
5	stuck	stick	VERB	Tense=Past VerbForm=Part Voice=Pass	4 clothes	acl
6	to	to	ADP	_	7 her	case
7	her	she	PRON	Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs	5 stuck	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	drip	gerund	hair and clothes not said here						vn substance_emission-43.4-1 «NP V»: agent=Source
2	stick	participle		clothes not said here	her = she				vn shake-22.3-2 «NP V ADV-Middle»: agent=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/books/276-pg1597-part3/t10/