---
title: A border collie called Chaser learned the names of over 1,000 toys a… — Animal minds: what dogs and cats feel and unders… · tree and pragmatics
description: A border collie called Chaser learned the names of over 1,000 toys and worked out that a new name meant the toy she did not know; most dogs learn only a few. Who acts: border collie, new name, collie, most dogs. A sentence of the lesson «Animal minds: what dogs and cats feel and understand (and do c
---

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# Animal minds: what dogs and cats feel and understand (and do cats really chase mice?), sentence 7

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A border collie called Chaser learned the names of over 1,000 toys and worked out that a new name meant the toy she did not know; most dogs learn only a few.

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**Who acts:** border collie, new name, collie, most dogs · **What happens:** call, learn, work out, mean, not know, name · **To what, where:** border collie, names, toy, few, 1,000 toys · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «Animal minds: what dogs and cats feel and understand (and do cats really chase mice?)» 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 (border collie, new name, collie, most dogs), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:237-animal-minds-what-dogs-and-cats-feel-and-understand-and-do-cats-really-chase-mice.lesson:7
# text = A border collie called Chaser learned the names of over 1,000 toys and worked out that a new name meant the toy she did not know; most dogs learn only a few.
# source = school lesson (ours)
# course = biology
# lesson = 237-animal-minds-what-dogs-and-cats-feel-and-understand-and-do-cats-really-chase-mice.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): R7-rel-agree ×3
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	border	border	NOUN	NN	Number=Sing	3	compound	_	_
3	collie	collie	NOUN	NN	Number=Sing	6	nsubj	_	_
4	called	call	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	acl	_	_
5	Chaser	chaser	PROPN	NNP	Number=Sing	4	xcomp	_	Agree=R7-rel-agree|Haiku=4:obj
6	learned	learn	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	names	name	NOUN	NNS	Number=Plur	6	obj	_	_
9	of	of	ADP	IN	_	12	case	_	_
10	over	over	ADV	RB	_	11	advmod	_	_
11	1,000	1000	NUM	CD	NumForm=Digit|NumType=Card	12	nummod	_	_
12	toys	toy	NOUN	NNS	Number=Plur	8	nmod	_	_
13	and	and	CCONJ	CC	_	14	cc	_	_
14	worked	work	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	6	conj	_	_
15	out	out	ADP	RP	_	14	compound:prt	_	_
16	that	that	SCONJ	IN	_	20	mark	_	_
17	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
18	new	new	ADJ	JJ	Degree=Pos	19	amod	_	_
19	name	name	NOUN	NN	Number=Sing	20	nsubj	_	_
20	meant	mean	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	14	ccomp	_	Agree=R7-rel-agree|Haiku=14:advcl
21	the	the	DET	DT	Definite=Def|PronType=Art	22	det	_	_
22	toy	toy	NOUN	NN	Number=Sing	20	obj	_	_
23	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	26	nsubj	_	_
24	did	do	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	26	aux	_	_
25	not	not	PART	RB	Polarity=Neg	26	advmod	_	_
26	know	know	VERB	VB	VerbForm=Inf	22	acl:relcl	_	_
27	;	;	PUNCT	,	_	30	punct	_	_
28	most	most	ADJ	JJS	Degree=Sup	29	amod	_	_
29	dogs	dog	NOUN	NNS	Number=Plur	30	nsubj	_	_
30	learn	learn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	parataxis	_	Agree=R7-rel-agree|Haiku=6:conj
31	only	only	ADV	RB	_	33	advmod	_	_
32	a	a	DET	DT	Definite=Ind|PronType=Art	33	det	_	_
33	few	few	ADJ	JJ	Degree=Pos	30	obj	_	_
34	.	.	PUNCT	.	_	6	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **call** | participle |  | a border collie *not said here* |  |  |  |  | vn initiate\_communication-37.4.2-1 «NP V»: agent=Agent |
| 2 | **learn** | past | a border collie | the names of 1,000 toys |  |  |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent name=Topic |
| 3 | **work out** | past | a border collie *not said here* |  |  |  |  |  | vn discover-84 «NP V how S»: agent=Agent clause=Topic |
| 4 | **mean** | past | a new name | the toy |  |  |  |  | vn intend-61.2-1 «NP V NP»: agent=Agent toy=Topic |
| 5 | **not** **know** | past · do-support | collie | the toy *not said here* |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer toy=Stimulus |
| 6 | **learn** | present | most dogs | a few |  |  |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent few=Topic |
| 7 | **name** |  |  | 1,000 toys |  |  |  |  | nom name «communication transitive»: of=patient |

<!-- .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:237-animal-minds-what-dogs-and-cats-feel-and-understand-and-do-cats-really-chase-mice.lesson:7`.

**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): R7-rel-agree ×3. **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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