---
title: The mouse said, “I know about that; every day the family eat good fo… — Gleanings from Chinese folklore · tree and pragmatics
description: The mouse said, “I know about that; every day the family eat good food; let me go and I will get it for you.” Who acts: mouse. A sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, How the Dog and Cat Came to Be Enemies, with its dependency tree and the pragmatics of every clause.
---

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# Gleanings from Chinese folklore, How the Dog and Cat Came to Be Enemies, sentence 63

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The mouse said, “I know about that; every day the family eat good food; let me go and I will get it for you.”

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**Who acts:** mouse · **What happens:** say, know, eat, let, go, get · **To what, where:** good food, mouse, food · **Speech:** someone speaks here

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This is a sentence of «Gleanings from Chinese folklore» by Nellie Naomi Russell, How the Dog and Cat Came to Be Enemies. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (mouse), what happens, when and where, as Mova's frames read it from the tree.

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**Mova's own parse.** This tree may be wrong.

## The tree {#tree}

```conllu
# sent_id = book:pg75089:14:63
# text = The mouse said, “I know about that; every day the family eat good food; let me go and I will get it for you.”
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	mouse	mouse	NOUN	NN	Number=Sing	3	nsubj	_	_
3	said	say	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	SpaceAfter=No
4	,	,	PUNCT	,	_	7	punct	_	_
5	“	"	PUNCT	``	_	7	punct	_	SpaceAfter=No
6	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	7	nsubj	_	_
7	know	know	VERB	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	3	ccomp	_	_
8	about	about	ADP	IN	_	9	case	_	_
9	that	that	PRON	DT	Number=Sing|PronType=Dem	7	obl	_	SpaceAfter=No
10	;	;	PUNCT	,	_	15	punct	_	_
11	every	every	DET	DT	PronType=Tot	12	det	_	_
12	day	day	NOUN	NN	Number=Sing	15	obl:unmarked	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	family	family	NOUN	NN	Number=Sing	12	nmod:unmarked	_	_
15	eat	eat	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	parataxis	_	_
16	good	good	ADJ	JJ	Degree=Pos	17	amod	_	_
17	food	food	NOUN	NN	Number=Sing	15	obj	_	SpaceAfter=No
18	;	;	PUNCT	,	_	19	punct	_	_
19	let	let	VERB	VB	VerbForm=Inf	15	conj	_	_
20	me	I	PRON	PRP	Case=Acc|Number=Sing|Person=1|PronType=Prs	19	obj	_	_
21	go	go	VERB	VB	VerbForm=Inf	19	xcomp	_	_
22	and	and	CCONJ	CC	_	25	cc	_	_
23	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	25	nsubj	_	_
24	will	will	AUX	MD	VerbForm=Fin	25	aux	_	_
25	get	get	VERB	VB	VerbForm=Inf	19	conj	_	_
26	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	25	obj	_	_
27	for	for	ADP	IN	_	28	case	_	_
28	you	you	PRON	PRP	Case=Acc|Person=2|PronType=Prs	25	obl	_	SpaceAfter=No
29	.	.	PUNCT	.	_	3	punct	_	SpaceAfter=No
30	”	"	PUNCT	''	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | past | the mouse |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **know** *in a quote* | present | the mouse *= mouse* |  |  |  |  | about that | vn comprehend-87.2-1-1-1 «NP V PP.stimulus»: agent=Experiencer about that=Stimulus |
| 3 | **eat** *in a quote* | present |  | good food |  |  | day |  | vn eat-39.1-1 «NP V NP»: agent=Agent food=Patient |
| 4 | **let** *in a quote* | infinitive |  | the mouse *= mouse* |  |  |  |  | tree rules |
| 5 | **go** *in a quote* | infinitive | the mouse *= mouse* *not said here* |  |  |  |  |  | vn disappearance-48.2-1 «NP V»: agent=Theme |
| 6 | **get** *in a quote* | future | the mouse *= mouse* | food |  |  |  | for you | vn get-13.5.1-1 «NP V NP PP.beneficiary»: agent=Agent it=Theme for you=Beneficiary |

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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.

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**Text:** «Gleanings from Chinese folklore» by Nellie Naomi Russell, Project Gutenberg book 75089 (public domain in the USA). **Tree:** Mova's own parse, Elamur Cosmic License. **Frames:** Mova's frames reader (`prag`), the chapter read in order.

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