---
title: AI programs learn patterns from very large numbers of examples, such… — What is AI? Pattern-guessers, not people · tree and pragmatics
description: AI programs learn patterns from very large numbers of examples, such as sentences or photos. Who acts: AI programs. A sentence of the lesson «What is AI? Pattern-guessers, not people» of the ai course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# What is AI? Pattern-guessers, not people, sentence 6

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AI programs learn patterns from very large numbers of examples, such as sentences or photos.

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**Who acts:** AI programs · **What happens:** learn · **To what, where:** patterns, large numbers

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This is a sentence of the lesson «What is AI? Pattern-guessers, not people» 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 (AI programs), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:001-what-is-ai.lesson:6
# text = AI programs learn patterns from very large numbers of examples, such as sentences or photos.
# source = school lesson (ours)
# course = ai
# lesson = 001-what-is-ai.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 ×2
1	AI	AI	NOUN	NN	Number=Sing	2	compound	_	_
2	programs	program	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	learn	learn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	patterns	pattern	NOUN	NNS	Number=Plur	3	obj	_	_
5	from	from	ADP	IN	_	8	case	_	_
6	very	very	ADV	RB	_	7	advmod	_	_
7	large	large	ADJ	JJ	Degree=Pos	8	amod	_	_
8	numbers	number	NOUN	NNS	Number=Plur	3	obl	_	Agree=R5-strong|Haiku=4:nmod
9	of	of	ADP	IN	_	10	case	_	_
10	examples	example	NOUN	NNS	Number=Plur	8	nmod	_	_
11	,	,	PUNCT	,	_	14	punct	_	_
12	such	such	ADJ	JJ	Degree=Pos|ExtPos=ADP	14	case	_	_
13	as	as	ADP	IN	_	12	fixed	_	_
14	sentences	sentence	NOUN	NNS	Number=Plur	8	nmod	_	Agree=R5-strong|Haiku=4:conj
15	or	or	CCONJ	CC	_	16	cc	_	_
16	photos	photo	NOUN	NNS	Number=Plur	14	conj	_	_
17	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: assert
- 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 | **learn** | present | AI programs | patterns |  | large numbers of examples such sentences or photos |  |  | vn learn-14-2-1 «NP V NP PP.source»: agent=Agent pattern=Topic from number=Source |

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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:ai:001-what-is-ai.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): R5-strong ×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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