---
title: "Large language model" means a huge program that has learned the pat… — How a language model learns: guessing the next w… · tree and pragmatics
description: "Large language model" means a huge program that has learned the patterns of how words are used. Who acts: Large language model, huge program. 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 pra
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/6/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [How a language model learns: guessing…](https://md.mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/) / 6

# How a language model learns: guessing the next word, sentence 6

<!-- .ven lang=en -->
"Large language model" means a huge program that has learned the patterns of how words are used.

<!-- .vintro -->
**Who acts:** Large language model, huge program · **What happens:** mean, learn, use · **To what, where:** huge program, patterns, words

<!-- .vabout -->
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 (Large language model, huge program), 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:6
# text = "Large language model" means a huge program that has learned the patterns of how words are used.
# 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	"	"	PUNCT	``	_	4	punct	_	_
2	Large	large	ADJ	JJ	Degree=Pos	4	amod	_	_
3	language	language	NOUN	NN	Number=Sing	4	compound	_	_
4	model	model	NOUN	NN	Number=Sing	6	nsubj	_	_
5	"	"	PUNCT	''	_	4	punct	_	_
6	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	huge	huge	ADJ	JJ	Degree=Pos	9	amod	_	_
9	program	program	NOUN	NN	Number=Sing	6	obj	_	_
10	that	that	PRON	WDT	PronType=Rel	12	nsubj	_	_
11	has	have	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	12	aux	_	_
12	learned	learn	VERB	VBN	Tense=Past|VerbForm=Part	9	acl:relcl	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	patterns	pattern	NOUN	NNS	Number=Plur	12	obj	_	_
15	of	of	SCONJ	IN	_	19	mark	_	_
16	how	how	ADV	WRB	PronType=Int	19	advmod	_	_
17	words	word	NOUN	NNS	Number=Plur	19	nsubj:pass	_	_
18	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	19	aux:pass	_	_
19	used	use	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	14	acl	_	_
20	.	.	PUNCT	.	_	6	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | Large language model | a huge program |  |  |  |  | vn intend-61.2-1 «NP V NP»: agent=Agent program=Topic |
| 2 | **learn** | present · perfect | a huge program | the patterns |  |  |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent pattern=Topic |
| 3 | **use** | present · passive |  | words |  |  |  |  | vn eat-39.1 «NP V NP»: subject=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.

<!-- div src -->

**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:6`.

**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/).

<!-- /div -->

<!-- pn -->
- ← previous: [How a language model learns: guessing…, 5](https://md.mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/5/)
- next →: [How a language model learns: guessing…, 7](https://md.mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/7/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/2-guessing-the-next-word/)