---
title: New Caledonian crows bend wire into hooks and solve puzzles in sever… — Animals in the news: true stories, fakes and how… · tree and pragmatics
description: New Caledonian crows bend wire into hooks and solve puzzles in several steps, and scientists film the tests so others can see it is real; crows can also recognise and remember people's faces. Who acts: New crows, scientists, others, crow. A sentence of the lesson «Animals in the news: true stories, 
---

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# Animals in the news: true stories, fakes and how to read them, sentence 9

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New Caledonian crows bend wire into hooks and solve puzzles in several steps, and scientists film the tests so others can see it is real; crows can also recognise and remember people's faces.

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**Who acts:** New crows, scientists, others, crow, crows · **What happens:** bend, solve, film, see, be, recognise · **To what, where:** wire, hooks, puzzles, tests, faces · **Speech:** someone speaks here

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This is a sentence of the lesson «Animals in the news: true stories, fakes and how to read them» 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 (New crows, scientists, others, crow), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them.lesson:9
# text = New Caledonian crows bend wire into hooks and solve puzzles in several steps, and scientists film the tests so others can see it is real; crows can also recognise and remember people's faces.
# source = school lesson (ours)
# course = biology
# lesson = 296-animals-in-the-news-true-stories-fakes-and-how-to-read-them.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): R1-cc-next ×3
1	New	New	PROPN	NNP	_	3	compound	_	_
2	Caledonian	Caledonian	PROPN	NNP	Number=Sing	1	flat	_	_
3	crows	crow	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	bend	bend	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	wire	wire	NOUN	NN	Number=Sing	4	obj	_	_
6	into	into	ADP	IN	_	7	case	_	_
7	hooks	hook	NOUN	NNS	Number=Plur	4	obl	_	_
8	and	and	CCONJ	CC	_	9	cc	_	Agree=R1-cc-next|Haiku=4:cc
9	solve	solve	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
10	puzzles	puzzle	NOUN	NNS	Number=Plur	9	obj	_	_
11	in	in	ADP	IN	_	13	case	_	_
12	several	several	ADJ	JJ	Degree=Pos	13	amod	_	_
13	steps	step	NOUN	NNS	Number=Plur	9	obl	_	_
14	,	,	PUNCT	,	_	17	punct	_	_
15	and	and	CCONJ	CC	_	17	cc	_	Agree=R1-cc-next|Haiku=4:cc
16	scientists	scientist	NOUN	NNS	Number=Plur	17	nsubj	_	_
17	film	film	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
18	the	the	DET	DT	Definite=Def|PronType=Art	19	det	_	_
19	tests	test	NOUN	NNS	Number=Plur	17	obj	_	_
20	so	so	SCONJ	IN	_	23	mark	_	_
21	others	other	NOUN	NNS	Number=Plur	23	nsubj	_	_
22	can	can	AUX	MD	VerbForm=Fin	23	aux	_	_
23	see	see	VERB	VB	VerbForm=Inf	17	advcl	_	_
24	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	26	nsubj	_	_
25	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	26	cop	_	_
26	real	real	ADJ	JJ	Degree=Pos	23	ccomp	_	_
27	;	;	PUNCT	,	_	31	punct	_	_
28	crows	crow	NOUN	NNS	Number=Plur	31	nsubj	_	_
29	can	can	AUX	MD	VerbForm=Fin	31	aux	_	_
30	also	also	ADV	RB	_	31	advmod	_	_
31	recognise	recognise	VERB	VB	VerbForm=Inf	4	conj	_	_
32	and	and	CCONJ	CC	_	33	cc	_	Agree=R1-cc-next|Haiku=31:cc
33	remember	remember	VERB	VB	VerbForm=Inf	31	conj	_	_
34	people	people	NOUN	NNS	Number=Plur	36	nmod:poss	_	_
35	's	's	PART	POS	_	34	case	_	_
36	faces	face	NOUN	NNS	Number=Plur	33	obj	_	_
37	.	.	PUNCT	.	_	4	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 | **bend** | present | New crows | wire |  | hooks |  |  | vn knead-26.5 «NP V NP.material PP.product»: agent=Agent wire=Material into hook=Product |
| 2 | **solve** | present | New crows *not said here* | puzzles |  |  |  | in several steps | vn discover-84 «NP V NP»: agent=Agent puzzle=Topic |
| 3 | **film** | present | scientists | the tests |  |  |  |  | vn transcribe-25.4 «NP V NP»: agent=Agent test=Theme |
| 4 | **see** | can | others |  |  |  |  |  | vn comprehend-87.2-1-1 «NP V»: agent=Experiencer |
| 5 | **is** | present | crow |  |  |  |  | real *property* | tree rules |
| 6 | **recognise** | can | crows |  |  |  |  |  | vn comprehend-87.2-1 «NP V S\_ING»: agent=Experiencer |
| 7 | **remember** | infinitive | crows *not said here* | people's faces |  |  |  |  | vn characterize-29.2-1-1 «NP V NP S\_ING»: agent=Agent face=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:296-animals-in-the-news-true-stories-fakes-and-how-to-read-them.lesson:9`.

**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): R1-cc-next ×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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