---
title: Even Peter Benchley, who wrote Jaws, later spent years working to pr… — Sharks by kind: great white, tiger, bull and ham… · tree and pragmatics
description: Even Peter Benchley, who wrote Jaws, later spent years working to protect them. Who acts: Peter, years. A sentence of the lesson «Sharks by kind: great white, tiger, bull and hammerhead» of the biology course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# Sharks by kind: great white, tiger, bull and hammerhead, sentence 7

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Even Peter Benchley, who wrote Jaws, later spent years working to protect them.

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**Who acts:** Peter, years · **What happens:** write, spend, work, protect · **To what, where:** Jaws, bites

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This is a sentence of the lesson «Sharks by kind: great white, tiger, bull and hammerhead» 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 (Peter, years), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead.lesson:7
# text = Even Peter Benchley, who wrote Jaws, later spent years working to protect them.
# source = school lesson (ours)
# course = biology
# lesson = 310-sharks-by-kind-great-white-tiger-bull-and-hammerhead.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 ×1, R8-pos-agree ×1
1	Even	even	ADV	RB	_	2	advmod	_	_
2	Peter	Peter	PROPN	NNP	Number=Sing	10	nsubj	_	_
3	Benchley	Benchley	PROPN	NNP	Number=Sing	2	flat	_	_
4	,	,	PUNCT	,	_	6	punct	_	_
5	who	who	PRON	WP	PronType=Rel	6	nsubj	_	_
6	wrote	write	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	acl:relcl	_	_
7	Jaws	Jaws	PROPN	NNP	Number=Sing	6	obj	_	Agree=R8-pos-agree|Haiku=6:obj|HaikuPos=NOUN:NNS:Number=Plur
8	,	,	PUNCT	,	_	9	punct	_	_
9	later	late	ADV	RBR	Degree=Cmp	10	advmod	_	_
10	spent	spend	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
11	years	year	NOUN	NNS	Number=Plur	10	obj	_	_
12	working	work	VERB	VBG	VerbForm=Ger	11	acl	_	_
13	to	to	PART	TO	_	14	mark	_	_
14	protect	protect	VERB	VB	VerbForm=Inf	12	advcl	_	Agree=R7-rel-agree|Haiku=12:xcomp
15	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	14	obj	_	_
16	.	.	PUNCT	.	_	10	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: narrate
- voice: narrator
- polarity: none
- teacher: kept the draft

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **write** | past | Peter | Jaws |  |  |  |  | vn scribble-25.2-1 «NP V NP»: agent=Agent jaws=Theme |
| 2 | **spend** | past | Peter |  |  |  | year | late *property* | vn consume-66-1 «NP V NP»: agent=Agent |
| 3 | **work** | gerund | years *not said here* |  |  |  |  |  | vn employment-95.3 «NP V»: agent=Agent |
| 4 | **protect** | to-infinitive | years *not said here* | bites *= bite* |  |  |  |  | vn defend-72.3 «NP V NP»: agent=Agent they=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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**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:310-sharks-by-kind-great-white-tiger-bull-and-hammerhead.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 ×1, R8-pos-agree ×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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- next →: [Sharks by kind: great white, tiger, bu…, 8](https://md.mova.elamur.ai/free/en/corpora/school/biology/310-sharks-by-kind-great-white-tiger-bull-and-hammerhead/8/)
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