Japanese Fairy Tales, by Yei Theodora Ozaki, sentence 660

I will make a good bridge for you all in a few minutes.” The bear, the deer, the monkey and the hare looked at him to see what he would do now.

Who acts: I, bear, monkey · What happens: make, look, see, do · To what, where: good bridge · Speech: someone speaks here

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 (I, bear, 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	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	3 make	nsubj
2	will	will	AUX	VerbForm=Fin	3 make	aux
3	make	make	VERB	VerbForm=Inf	root	root
4	a	a	DET	Definite=Ind PronType=Art	6 bridge	det
5	good	good	ADJ	Degree=Pos	6 bridge	amod
6	bridge	bridge	NOUN	Number=Sing	3 make	obj
7	for	for	ADP	_	8 you	case
8	you	you	PRON	Case=Acc Person=2 PronType=Prs	3 make	obl
9	all	all	DET	PronType=Tot	8 you	det
10	in	in	ADP	_	13 minutes	case
11	a	a	DET	Definite=Ind PronType=Art	13 minutes	det
12	few	few	ADJ	Degree=Pos	13 minutes	amod
13	minutes	minute	NOUN	Number=Plur	3 make	obl
14	.	.	PUNCT	_	3 make	punct
15	”	”	PUNCT	_	3 make	punct
16	The	the	DET	Definite=Def PronType=Art	17 bear	det
17	bear	bear	NOUN	Number=Sing	27 looked	nsubj
18	,	,	PUNCT	_	20 deer	punct
19	the	the	DET	Definite=Def PronType=Art	20 deer	det
20	deer	deer	NOUN	Number=Sing	17 bear	conj
21	,	,	PUNCT	_	23 monkey	punct
22	the	the	DET	Definite=Def PronType=Art	23 monkey	det
23	monkey	monkey	NOUN	Number=Sing	17 bear	conj
24	and	and	CCONJ	_	26 hare	cc
25	the	the	DET	Definite=Def PronType=Art	26 hare	det
26	hare	hare	NOUN	Number=Sing	17 bear	conj
27	looked	look	VERB	Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin	3 make	parataxis
28	at	at	ADP	_	29 him	case
29	him	he	PRON	Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs	27 looked	obl
30	to	to	PART	_	31 see	mark
31	see	see	VERB	VerbForm=Inf	27 looked	advcl
32	what	what	PRON	PronType=Int	35 do	obj
33	he	he	PRON	Case=Nom Gender=Masc Number=Sing Person=3 PronType=Prs	35 do	nsubj
34	would	would	AUX	VerbForm=Fin	35 do	aux
35	do	do	VERB	VerbForm=Inf	31 see	ccomp
36	now	now	ADV	PronType=Dem	35 do	advmod
37	.	.	PUNCT	_	27 looked	punct

Pragmatics

#	verb	tense, mood	who	what, whom	when	other	roles by
1	make	future	I	a good bridge	minute	for you	tree rules
2	look in a quote	past	the bear and the deer and the monkey and the hare			at monkey	vn peer-30.3 «NP V PP.theme»: agent=Agent at he=Theme
3	see in a quote	to-infinitive	the bear and the deer and the monkey and the hare not said here				vn comprehend-87.2-1-1 «NP V how S_INF»: agent=Experiencer clause=Stimulus
4	do in a quote	would	monkey		now		vn act-114-1 «NP V NP»: agent=Agent what=Eventuality

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:pg4018:660.

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/pg4018/660/