---
title: The first electronic computers of the 1940s filled whole rooms and w… — Computers and the internet · tree and pragmatics
description: The first electronic computers of the 1940s filled whole rooms and were used to break codes and do huge sums; at Bletchley Park in Britain, Alan Turing helped break secret German codes in the Second World War. Who acts: first electronic computers, Alan. A sentence of the lesson «Computers and the in
---

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[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/history/36-computers-and-the-internet/1/)

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# Computers and the internet, sentence 1

<!-- .ven lang=en -->
The first electronic computers of the 1940s filled whole rooms and were used to break codes and do huge sums; at Bletchley Park in Britain, Alan Turing helped break secret German codes in the Second World War.

<!-- .vintro -->
**Who acts:** first electronic computers, Alan · **What happens:** fill, use, break, do, help · **To what, where:** whole rooms, codes, huge sums, Bletchley Park, secret German codes, Second World War

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This is a sentence of the lesson «Computers and the internet» of the history 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 (first electronic computers, Alan), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:history:036-computers-and-the-internet.lesson:1
# text = The first electronic computers of the 1940s filled whole rooms and were used to break codes and do huge sums; at Bletchley Park in Britain, Alan Turing helped break secret German codes in the Second World War.
# source = school lesson (ours)
# course = history
# lesson = 036-computers-and-the-internet.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
1	The	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
2	first	first	ADJ	JJ	Degree=Pos|NumForm=Word|NumType=Ord	4	amod	_	_
3	electronic	electronic	ADJ	JJ	Degree=Pos	4	amod	_	_
4	computers	computer	NOUN	NNS	Number=Plur	8	nsubj	_	_
5	of	of	ADP	IN	_	7	case	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	1940s	1940	NOUN	NNS	Number=Ptan|NumForm=Combi|NumType=Card	4	nmod	_	_
8	filled	fill	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
9	whole	whole	ADJ	JJ	Degree=Pos	10	amod	_	_
10	rooms	room	NOUN	NNS	Number=Plur	8	obj	_	_
11	and	and	CCONJ	CC	_	13	cc	_	_
12	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	13	aux:pass	_	_
13	used	use	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	conj	_	_
14	to	to	PART	TO	_	15	mark	_	_
15	break	break	VERB	VB	VerbForm=Inf	13	xcomp	_	_
16	codes	code	NOUN	NNS	Number=Plur	15	obj	_	_
17	and	and	CCONJ	CC	_	18	cc	_	_
18	do	do	VERB	VB	VerbForm=Inf	15	conj	_	Agree=R5-strong|Haiku=8:conj|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin
19	huge	huge	ADJ	JJ	Degree=Pos	20	amod	_	_
20	sums	sum	NOUN	NNS	Number=Plur	18	obj	_	_
21	;	;	PUNCT	,	_	8	punct	_	_
22	at	at	ADP	IN	_	24	case	_	_
23	Bletchley	Bletchley	PROPN	NNP	Number=Sing	24	compound	_	_
24	Park	Park	PROPN	NNP	Number=Sing	30	obl	_	_
25	in	in	ADP	IN	_	26	case	_	_
26	Britain	Britain	PROPN	NNP	Number=Sing	24	nmod	_	_
27	,	,	PUNCT	,	_	30	punct	_	_
28	Alan	Alan	PROPN	NNP	Number=Sing	30	nsubj	_	_
29	Turing	Turing	PROPN	NNP	Number=Sing	28	flat	_	_
30	helped	help	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	8	parataxis	_	_
31	break	break	VERB	VB	VerbForm=Inf	30	xcomp	_	_
32	secret	secret	ADJ	JJ	Degree=Pos	34	amod	_	_
33	German	German	ADJ	JJ	Degree=Pos	34	amod	_	_
34	codes	code	NOUN	NNS	Number=Plur	31	obj	_	_
35	in	in	ADP	IN	_	39	case	_	_
36	the	the	DET	DT	Definite=Def|PronType=Art	39	det	_	_
37	Second	Second	ADJ	NNP	Degree=Pos|NumForm=Word|NumType=Ord	39	amod	_	_
38	World	World	PROPN	NNP	Number=Sing	39	compound	_	_
39	War	War	PROPN	NNP	Number=Sing	31	obl	_	_
40	.	.	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 | **fill** | past | the first electronic computers of the 1940s | whole rooms |  |  |  |  | vn other\_cos-45.4 «NP V NP.patient»: agent=Agent room=Patient |
| 2 | **use** | past · passive | the first electronic computers of the 1940s *not said here* |  |  |  |  |  | vn use-105.1 «NP V NP S\_INF»: clause=Eventuality |
| 3 | **break** | to-infinitive | the first electronic computers of the 1940s *not said here* | codes |  |  |  |  | vn hurt-40.8.3-1-1 «NP V NP»: agent=Experiencer code=Patient |
| 4 | **do** | infinitive | the first electronic computers of the 1940s *not said here* | huge sums |  |  |  |  | vn act-114-1 «NP V NP»: agent=Agent sum=Eventuality |
| 5 | **help** | past | Alan |  |  | Bletchley Park in Britain |  |  | vn help-72.1-1-1 «NP V NP S\_INF»: agent=Agent clause=Theme |
| 6 | **break** | infinitive | Alan *not said here* | secret German codes |  | the Second World War |  |  | vn hurt-40.8.3-1-1 «NP V NP»: agent=Experiencer code=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:history:036-computers-and-the-internet.lesson:1`.

**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. **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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