---
title: Cartoon animals chat in full sentences and every dog with a wagging… — How animals talk · tree and pragmatics
description: Cartoon animals chat in full sentences and every dog with a wagging tail is happy; real messages are simpler but cleverer, and a stiff, high, fast wag can mean a dog is tense, so ask the owner before you touch. Who acts: Cartoon animals, dog, real messages, stiff high fast wag. A sentence of the les
---

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# How animals talk, sentence 3

<!-- .ven lang=en -->
Cartoon animals chat in full sentences and every dog with a wagging tail is happy; real messages are simpler but cleverer, and a stiff, high, fast wag can mean a dog is tense, so ask the owner before you touch.

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**Who acts:** Cartoon animals, dog, real messages, stiff high fast wag, you · **What happens:** chat, wag, be, mean, ask, touch · **To what, where:** full sentences, owner · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «How animals talk» of the biology course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Cartoon animals, dog, real messages, stiff high fast wag), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:050-how-animals-talk.lesson:3
# text = Cartoon animals chat in full sentences and every dog with a wagging tail is happy; real messages are simpler but cleverer, and a stiff, high, fast wag can mean a dog is tense, so ask the owner before you touch.
# source = school lesson (ours)
# course = biology
# lesson = 050-how-animals-talk.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R5-strong ×1
1	Cartoon	cartoon	NOUN	NN	Number=Sing	2	compound	_	_
2	animals	animal	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	chat	chat	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	in	in	ADP	IN	_	6	case	_	_
5	full	full	ADJ	JJ	Degree=Pos	6	amod	_	_
6	sentences	sentence	NOUN	NNS	Number=Plur	3	obl	_	_
7	and	and	CCONJ	CC	_	15	cc	_	_
8	every	every	DET	DT	PronType=Tot	9	det	_	_
9	dog	dog	NOUN	NN	Number=Sing	15	nsubj	_	_
10	with	with	ADP	IN	_	15	case	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
12	wagging	wag	VERB	VBG	VerbForm=Ger	13	amod	_	_
13	tail	tail	NOUN	NN	Number=Sing	9	nmod	_	_
14	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	cop	_	_
15	happy	happy	ADJ	JJ	Degree=Pos	3	conj	_	_
16	;	;	PUNCT	,	_	20	punct	_	_
17	real	real	ADJ	JJ	Degree=Pos	18	amod	_	_
18	messages	message	NOUN	NNS	Number=Plur	20	nsubj	_	_
19	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	20	cop	_	_
20	simpler	simple	ADJ	JJR	Degree=Cmp	3	conj	_	_
21	but	but	CCONJ	CC	_	22	cc	_	_
22	cleverer	clever	ADJ	JJR	Degree=Cmp	20	conj	_	_
23	,	,	PUNCT	,	_	26	punct	_	_
24	and	and	CCONJ	CC	_	33	cc	_	_
25	a	a	DET	DT	Definite=Ind|PronType=Art	31	det	_	Agree=R5-strong|Haiku=26:det
26	stiff	stiff	ADJ	JJ	Degree=Pos	31	amod	_	_
27	,	,	PUNCT	,	_	31	punct	_	_
28	high	high	ADJ	JJ	Degree=Pos	31	amod	_	_
29	,	,	PUNCT	,	_	28	punct	_	_
30	fast	fast	ADJ	JJ	Degree=Pos	31	amod	_	_
31	wag	wag	NOUN	NN	Number=Sing	33	nsubj	_	_
32	can	can	AUX	MD	VerbForm=Fin	33	aux	_	_
33	mean	mean	VERB	VB	VerbForm=Inf	20	conj	_	_
34	a	a	DET	DT	Definite=Ind|PronType=Art	35	det	_	_
35	dog	dog	NOUN	NN	Number=Sing	37	nsubj	_	_
36	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	37	cop	_	_
37	tense	tense	ADJ	JJ	Degree=Pos	33	ccomp	_	_
38	,	,	PUNCT	,	_	40	punct	_	_
39	so	so	ADV	RB	_	40	advmod	_	_
40	ask	ask	VERB	VB	VerbForm=Inf	3	conj	_	Agree=R3-conj-first|Haiku=20:conj
41	the	the	DET	DT	Definite=Def|PronType=Art	42	det	_	_
42	owner	owner	NOUN	NN	Number=Sing	40	obj	_	_
43	before	before	SCONJ	IN	_	45	mark	_	_
44	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	45	nsubj	_	_
45	touch	touch	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	40	advcl	_	_
46	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **chat** *speech: other* | present | Cartoon animals |  |  | full sentences |  |  | vn chit\_chat-37.6 «NP V»: agent=Agent |
| 2 | **wag** | gerund |  |  |  |  |  |  | vn crane-40.3.2 «NP V NP»: agent=Agent |
| 3 | **is** | present | every dog  a wagging tail |  |  |  |  | happy *property* | tree rules |
| 4 | **is** | present | real messages |  |  |  |  | simple *property* | tree rules |
| 5 | **be** |  | real messages *not said here* |  |  |  |  |  | tree rules |
| 6 | **mean** | can | a stiff high fast wag |  |  |  |  |  | vn intend-61.2-1 «NP V S»: agent=Agent |
| 7 | **is** | present | a dog |  |  |  |  | tense *property* | tree rules |
| 8 | **ask** *speech: ask* | infinitive | Cartoon animals *not said here* | the owner |  |  |  |  | vn inquire-37.1.2 «NP V NP.recipient»: agent=Agent owner=Recipient |
| 9 | **touch** | present | you |  |  |  |  |  | vn contiguous\_location-47.8-1 «NP V»: agent=Theme |

<!-- .note -->
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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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:biology:050-how-animals-talk.lesson:3`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R5-strong ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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