Japanese Fairy Tales, by Yei Theodora Ozaki, sentence 2017

Again and again, as fast as he could pick them, the monkey pulled off the hard persimmons and threw them at the defenseless crab till he dropped dead, covered with wounds all over his body.

Who acts: monkey · What happens: pick, pull off, throw, drop, cover · To what, where: kinds, hard persimmons, persimmons, body

This is a sentence of «Japanese Fairy Tales, by Yei Theodora Ozaki», a book of tales from Project Gutenberg. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (monkey), what happens, when and where, as Mova's frames read it from the tree.

The tree

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Again	again	ADV	_	15 pulled	advmod
2	and	and	CCONJ	_	3 again	cc
3	again	again	ADV	_	1 Again	conj
4	,	,	PUNCT	_	1 Again	punct
5	as	as	ADV	_	6 fast	advmod
6	fast	fast	ADV	_	15 pulled	advmod
7	as	as	SCONJ	_	10 pick	mark
8	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	10 pick	nsubj
9	could	could	AUX	VerbForm=Fin	10 pick	aux
10	pick	pick	VERB	VerbForm=Inf	6 fast	advcl
11	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	10 pick	obj
12	,	,	PUNCT	_	10 pick	punct
13	the	the	DET	Definite=Def PronType=Art	14 monkey	det
14	monkey	monkey	NOUN	Number=Sing	15 pulled	nsubj
15	pulled	pull	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
16	off	off	ADP	_	15 pulled	compound:prt
17	the	the	DET	Definite=Def PronType=Art	19 persimmons	det
18	hard	hard	ADJ	Degree=Pos	19 persimmons	amod
19	persimmons	persimmon	NOUN	Number=Plur	15 pulled	obj
20	and	and	CCONJ	_	21 threw	cc
21	threw	throw	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	15 pulled	conj
22	them	they	PRON	Case=Acc Number=Plur Person=3 PronType=Prs	21 threw	obj
23	at	at	ADP	_	26 crab	case
24	the	the	DET	Definite=Def PronType=Art	26 crab	det
25	defenseless	defenseless	ADJ	Degree=Pos	26 crab	amod
26	crab	crab	NOUN	Number=Sing	21 threw	obl
27	till	till	SCONJ	_	29 dropped	mark
28	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	29 dropped	nsubj
29	dropped	drop	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	21 threw	advcl
30	dead	dead	ADJ	Degree=Pos	29 dropped	xcomp
31	,	,	PUNCT	_	32 covered	punct
32	covered	cover	VERB	Tense=Past VerbForm=Part Voice=Pass	29 dropped	advcl
33	with	with	ADP	_	34 wounds	case
34	wounds	wound	NOUN	Number=Plur	32 covered	obl
35	all	all	ADV	_	38 body	advmod
36	over	over	ADP	_	38 body	case
37	his	his	PRON	Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs	38 body	nmod:poss
38	body	body	NOUN	Number=Sing	32 covered	obl
39	.	.	PUNCT	_	15 pulled	punct

Pragmatics

#	verb	tense, mood	who	what, whom	where	when	other	roles by
1	pick	could	monkey	kinds = kind				vn chew-39.2 «NP V NP»: agent=Agent they=Patient
2	pull off	past	the monkey	the hard persimmons		again	fast property	vn complete-55.2 «NP V NP»: agent=Agent persimmon=Eventuality
3	throw	past	the monkey not said here	persimmons = persimmon			at the defenseless crab	vn throw-17.1-1-1 «NP V NP PP.destinations»: agent=Agent they=Theme at crab=Destination
4	drop	past	monkey				dead property	vn roll-51.3.1 «NP.theme V»: agent=Theme
5	cover	participle	monkey not said here		monkey's body		with wounds	vn fill-9.8-1 «NP V NP PP.theme»: agent=Agent with wound=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.

Text: «Japanese Fairy Tales, by Yei Theodora Ozaki», Project Gutenberg book 4018 (public domain in the USA). Annotation: the tales treebank of Mova corpus 0.3 (mova-tales-silver-en.conllu), Apache-2.0 OR MIT: parsed by Mova, patched by a large language model as teacher under UD validation gates. Sentence gutenberg:pg4018:2017.

The tree: Mova annot: Rust (en) → Claude Opus (medium) patches; gates UD 2.18. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the tale's sample read in order, so a pronoun may be resolved from an earlier sentence.

See the release 0.3.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/tales/pg4018/2017/