---
title: The answer is worked out on huge computers far away, in buildings ca… — How a language model learns: guessing the next w… · tree and pragmatics
description: The answer is worked out on huge computers far away, in buildings called data centres; nobody is typing it. Who acts: buildings, nobody. A sentence of the lesson «How a language model learns: guessing the next word» of the ai course of Mova's primary school with its dependency tree and the pragmatic
---

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# How a language model learns: guessing the next word, sentence 5

<!-- .ven lang=en -->
The answer is worked out on huge computers far away, in buildings called data centres; nobody is typing it.

<!-- .vintro -->
**Who acts:** buildings, nobody · **What happens:** work out, call, type · **To what, where:** answer, huge computers, data centres · **Speech:** someone speaks here

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This is a sentence of the lesson «How a language model learns: guessing the next word» of the ai 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 (buildings, nobody), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:002-guessing-the-next-word.lesson:5
# text = The answer is worked out on huge computers far away, in buildings called data centres; nobody is typing it.
# source = school lesson (ours)
# course = ai
# lesson = 002-guessing-the-next-word.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): no change
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	answer	answer	NOUN	NN	Number=Sing	4	nsubj:pass	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
4	worked	work	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	out	out	ADP	RP	_	4	compound:prt	_	_
6	on	on	ADP	IN	_	8	case	_	_
7	huge	huge	ADJ	JJ	Degree=Pos	8	amod	_	_
8	computers	computer	NOUN	NNS	Number=Plur	4	obl	_	_
9	far	far	ADV	RB	Degree=Pos	10	advmod	_	_
10	away	away	ADV	RB	_	8	advmod	_	_
11	,	,	PUNCT	,	_	13	punct	_	_
12	in	in	ADP	IN	_	13	case	_	_
13	buildings	building	NOUN	NNS	Number=Plur	4	conj	_	_
14	called	call	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	13	acl	_	_
15	data	data	NOUN	NN	Number=Sing	16	compound	_	_
16	centres	centre	NOUN	NNS	Number=Plur	14	obj	_	_
17	;	;	PUNCT	:	_	4	punct	_	_
18	nobody	nobody	PRON	NN	Number=Sing|PronType=Neg	20	nsubj	_	_
19	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	20	aux	_	_
20	typing	type	VERB	VBG	Tense=Pres|VerbForm=Part	4	parataxis	_	_
21	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	20	obj	_	_
22	.	.	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 | **work out** | present · passive |  | the answer |  | huge computers |  |  | vn discover-84 «NP V NP»: subject=Topic |
| 2 | **call** | participle | buildings *not said here* | data centres |  |  |  |  | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent centre=Recipient |
| 3 | **type** | present · progressive | nobody | answer |  |  |  |  | vn scribble-25.2-1 «NP V NP»: agent=Agent it=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:ai:002-guessing-the-next-word.lesson:5`.

**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): no change. **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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