---
title: A machine can only learn patterns that are in its examples; if a kin… — Olympiad: thinking like a machine, Bebras puzzle… · tree and pragmatics
description: A machine can only learn patterns that are in its examples; if a kind of example is missing, it may get that kind wrong. Who acts: machine, patterns, kind. A sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the ai course of Mova's primary school with its dependency t
---

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# Olympiad: thinking like a machine, Bebras puzzles ★★★, sentence 9

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A machine can only learn patterns that are in its examples; if a kind of example is missing, it may get that kind wrong.

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**Who acts:** machine, patterns, kind · **What happens:** learn, be, get · **To what, where:** patterns, examples, kind

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This is a sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» 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 (machine, patterns, kind), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:031-olympiad-thinking-like-a-machine.lesson:9
# text = A machine can only learn patterns that are in its examples; if a kind of example is missing, it may get that kind wrong.
# source = school lesson (ours)
# course = ai
# lesson = 031-olympiad-thinking-like-a-machine.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): R2-punct-next ×1, R7-rel-agree ×1
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	machine	machine	NOUN	NN	Number=Sing	5	nsubj	_	_
3	can	can	AUX	MD	VerbForm=Fin	5	aux	_	_
4	only	only	ADV	RB	_	5	advmod	_	_
5	learn	learn	VERB	VB	VerbForm=Inf	0	root	_	_
6	patterns	pattern	NOUN	NNS	Number=Plur	5	obj	_	_
7	that	that	PRON	WDT	PronType=Rel	11	nsubj	_	_
8	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	11	cop	_	_
9	in	in	ADP	IN	_	11	case	_	_
10	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	11	nmod:poss	_	_
11	examples	example	NOUN	NNS	Number=Plur	6	acl:relcl	_	_
12	;	;	PUNCT	,	_	23	punct	_	Agree=R2-punct-next|Haiku=5:punct
13	if	if	SCONJ	IN	_	19	mark	_	_
14	a	a	DET	DT	Definite=Ind|PronType=Art	15	det	_	_
15	kind	kind	NOUN	NN	Number=Sing	19	nsubj	_	_
16	of	of	ADP	IN	_	17	case	_	_
17	example	example	NOUN	NN	Number=Sing	15	nmod	_	_
18	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	19	cop	_	_
19	missing	missing	ADJ	JJ	Degree=Pos	23	advcl	_	_
20	,	,	PUNCT	,	_	19	punct	_	_
21	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	23	nsubj	_	_
22	may	may	AUX	MD	VerbForm=Fin	23	aux	_	_
23	get	get	VERB	VB	VerbForm=Inf	5	parataxis	_	Agree=R7-rel-agree|Haiku=5:conj
24	that	that	DET	DT	Number=Sing|PronType=Dem	25	det	_	_
25	kind	kind	NOUN	NN	Number=Sing	23	obj	_	_
26	wrong	wrong	ADJ	JJ	Degree=Pos	23	xcomp	_	_
27	.	.	PUNCT	.	_	5	punct	_	_
```

## Pragmatics {#pragmatics}

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No stored speech act for this sentence.

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **learn** | can | a machine | patterns |  |  |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent pattern=Topic |
| 2 | **is** | present | patterns |  |  | machine's examples |  |  | tree rules |
| 3 | **is** *a condition, not said to happen* | present | a kind of example |  |  |  |  | missing *property* | tree rules |
| 4 | **get** | may | kind | that kind |  |  |  | wrong *property* | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer kind=Stimulus |

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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:031-olympiad-thinking-like-a-machine.lesson:9`.

**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): R2-punct-next ×1, R7-rel-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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