---
title: In 1987 only 27 California condors were left and all were taken into… — Comeback stories: bald eagles, humpback whales,… · tree and pragmatics
description: In 1987 only 27 California condors were left and all were taken into care; zoo breeding and release raised the number to over 500, but lead from hunters' bullets in dead animals still poisons them. Who acts: zoo breeding, lead. A sentence of the lesson «Comeback stories: bald eagles, humpback whales
---

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# Comeback stories: bald eagles, humpback whales, condors and the kakapo, sentence 10

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In 1987 only 27 California condors were left and all were taken into care; zoo breeding and release raised the number to over 500, but lead from hunters' bullets in dead animals still poisons them.

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**Who acts:** zoo breeding, lead · **What happens:** leave, take, raise, poison · **To what, where:** 27 California condors, 1987, all, care, number, 500

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This is a sentence of the lesson «Comeback stories: bald eagles, humpback whales, condors and the kakapo» 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 (zoo breeding, lead), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo.lesson:10
# text = In 1987 only 27 California condors were left and all were taken into care; zoo breeding and release raised the number to over 500, but lead from hunters' bullets in dead animals still poisons them.
# source = school lesson (ours)
# course = biology
# lesson = 282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo.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): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×2
1	In	in	ADP	IN	_	2	case	_	_
2	1987	1987	NUM	CD	NumForm=Digit|NumType=Card	8	obl	_	Agree=R7-rel-agree|Haiku=8:nummod
3	only	only	ADV	RB	_	4	advmod	_	_
4	27	27	NUM	CD	NumForm=Digit|NumType=Card	6	nummod	_	_
5	California	California	PROPN	NNP	Number=Sing	6	compound	_	_
6	condors	condor	NOUN	NNS	Number=Plur	8	nsubj	_	_
7	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	8	aux:pass	_	_
8	left	leave	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
9	and	and	CCONJ	CC	_	12	cc	_	_
10	all	all	DET	DT	PronType=Tot	12	nsubj:pass	_	_
11	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	12	aux:pass	_	_
12	taken	take	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	conj	_	_
13	into	into	ADP	IN	_	14	case	_	_
14	care	care	NOUN	NN	Number=Sing	12	obl	_	_
15	;	;	PUNCT	,	_	17	punct	_	_
16	zoo	zoo	NOUN	NN	Number=Sing	17	compound	_	_
17	breeding	breeding	NOUN	NN	Number=Sing	20	nsubj	_	_
18	and	and	CCONJ	CC	_	19	cc	_	_
19	release	release	NOUN	NN	Number=Sing	17	conj	_	_
20	raised	raise	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	8	parataxis	_	Agree=R7-rel-agree|Haiku=8:conj
21	the	the	DET	DT	Definite=Def|PronType=Art	22	det	_	_
22	number	number	NOUN	NN	Number=Sing	20	obj	_	_
23	to	to	ADP	IN	_	25	case	_	_
24	over	over	ADV	RB	_	25	advmod	_	_
25	500	500	NUM	CD	NumForm=Digit|NumType=Card	20	obl	_	_
26	,	,	PUNCT	,	_	37	punct	_	Agree=R6-punct-agree|Haiku=28:punct
27	but	but	CCONJ	CC	_	28	cc	_	_
28	lead	lead	NOUN	NN	Number=Sing	37	nsubj	_	_
29	from	from	ADP	IN	_	32	case	_	_
30	hunters	hunter	NOUN	NNS	Number=Plur	32	nmod:poss	_	_
31	'	's	PART	POS	_	30	case	_	_
32	bullets	bullet	NOUN	NNS	Number=Plur	28	nmod	_	_
33	in	in	ADP	IN	_	35	case	_	_
34	dead	dead	ADJ	JJ	Degree=Pos	35	amod	_	_
35	animals	animal	NOUN	NNS	Number=Plur	32	nmod	_	_
36	still	still	ADV	RB	_	37	advmod	_	_
37	poisons	poison	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	20	conj	_	Agree=R5-strong|Haiku=8:conj
38	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	37	obj	_	_
39	.	.	PUNCT	.	_	8	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 | **leave** | past · passive |  | 27 California condors |  | 1987 |  |  | vn keep-15.2 «NP V NP PP.location»: subject=Theme in 1987=Location |
| 2 | **take** | past · passive |  | all |  | care |  |  | vn bring-11.3 «NP V NP PP.destination»: subject=Theme into care=Destination |
| 3 | **raise** | past | zoo breeding and release | the number |  | 500 |  |  | vn put\_direction-9.4 «NP V NP PP.destination»: agent=Agent number=Theme to 500=Destination |
| 4 | **poison** | present | lead from hunters's bullets in dead animals | numbers *= number* |  |  | still |  | vn poison-42.2 «NP V NP»: agent=Agent they=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:282-comeback-stories-bald-eagles-humpback-whales-condors-and-the-kakapo.lesson:10`.

**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): R5-strong ×1, R6-punct-agree ×1, R7-rel-agree ×2. **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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