The Red Fairy Book, The Little Good Mouse, sentence 82

Anyone else would have let the greedy old woman have you, and eat you up, but I could not bear to do it.’

Who acts: greedy old woman, I · What happens: let, have, eat up, not bear, do · To what, where: Anyone, you, care

This is a sentence of «The Red Fairy Book» by Andrew Lang, The Little Good Mouse. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (greedy old woman, I), what happens, when and where, as Mova's frames read it from the tree.

Parsed by Mova, not checked by a teacher. This tree is Mova's own parse (the en model, on the CPU, when the site is built); it may be wrong.

The tree

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Anyone	anyone	PRON	Number=Sing PronType=Ind	5 let	nsubj:pass
2	else	else	ADV	_	1 Anyone	advmod
3	would	would	AUX	VerbForm=Fin	5 let	aux
4	have	have	AUX	VerbForm=Inf	5 let	aux
5	let	let	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
6	the	the	DET	Definite=Def PronType=Art	9 woman	det
7	greedy	greedy	ADJ	Degree=Pos	9 woman	amod
8	old	old	ADJ	Degree=Pos	9 woman	amod
9	woman	woman	NOUN	Number=Sing	10 have	nsubj
10	have	have	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	5 let	conj
11	you	you	PRON	Case=Nom Person=2 PronType=Prs	10 have	nsubj
12	,	,	PUNCT	_	14 eat	punct
13	and	and	CCONJ	_	14 eat	cc
14	eat	eat	VERB	Mood=Imp VerbForm=Fin	5 let	parataxis
15	you	you	PRON	Case=Acc Person=2 PronType=Prs	14 eat	obj
16	up	up	ADP	_	14 eat	compound:prt
17	,	,	PUNCT	_	22 bear	punct
18	but	but	CCONJ	_	22 bear	cc
19	I	I	PRON	Case=Nom Number=Sing Person=1 PronType=Prs	22 bear	nsubj
20	could	could	AUX	VerbForm=Fin	22 bear	aux
21	not	not	PART	Polarity=Neg	22 bear	advmod
22	bear	bear	VERB	VerbForm=Inf	14 eat	conj
23	to	to	PART	_	24 do	mark
24	do	do	VERB	VerbForm=Inf	22 bear	xcomp
25	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	24 do	obj
26	.	.	PUNCT	_	5 let	punct
27	’	'	PUNCT	_	5 let	punct

Pragmatics

#	verb	tense, mood	who	what, whom	roles by
1	let	would · perfect · passive		Anyone	vn give-13.1-1 «NP V NP»: subject=Theme
2	have	present	the greedy old woman		vn birth-28.2-1 «NP V NP»: agent=Agent
3	eat up	infinitive		you	vn eat-39.1-1 «NP V NP»: agent=Agent you=Patient
4	not bear	could	I		vn admire-31.2 «NP V that S»: agent=Experiencer clause=Stimulus
5	do	to-infinitive	I not said here	care	vn act-114-1 «NP V NP»: agent=Agent it=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: «The Red Fairy Book» by Andrew Lang, Project Gutenberg book 540 (public domain in the USA). Tree: Mova's own parse, Elamur Cosmic License. Frames: Mova's frames reader (prag), the chapter read in order.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/tales/pg540/22/82/