---
title: A language model guesses likely next words, and you also follow rule… — Who you are: being wrong and learning · tree and pragmatics
description: A language model guesses likely next words, and you also follow rules you can show, check your work and learn from tests. Who acts: language model, you, your. A sentence of the lesson «Who you are: being wrong and learning» of the ai course of Mova's primary school with its dependency tree and the p
---

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# Who you are: being wrong and learning, sentence 12

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A language model guesses likely next words, and you also follow rules you can show, check your work and learn from tests.

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**Who acts:** language model, you, your · **What happens:** guess, follow, show, check, learn, work · **To what, where:** next words, rules, work, tests

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This is a sentence of the lesson «Who you are: being wrong and learning» 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 (language model, you, your), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:029-who-you-are-being-wrong-and-learning.lesson:12
# text = A language model guesses likely next words, and you also follow rules you can show, check your work and learn from tests.
# source = school lesson (ours)
# course = ai
# lesson = 029-who-you-are-being-wrong-and-learning.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, R6-punct-agree ×1
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	language	language	NOUN	NN	Number=Sing	3	compound	_	_
3	model	model	NOUN	NN	Number=Sing	4	nsubj	_	_
4	guesses	guess	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	Agree=R5-strong|Haiku=12:conj
5	likely	likely	ADV	RB	_	7	advmod	_	_
6	next	next	ADJ	JJ	Degree=Pos	7	amod	_	_
7	words	word	NOUN	NNS	Number=Plur	4	obj	_	_
8	,	,	PUNCT	,	_	12	punct	_	_
9	and	and	CCONJ	CC	_	12	cc	_	_
10	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	12	nsubj	_	_
11	also	also	ADV	RB	_	12	advmod	_	_
12	follow	follow	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	Agree=R5-strong|Haiku=0:root
13	rules	rule	NOUN	NNS	Number=Plur	12	obj	_	_
14	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	16	nsubj	_	_
15	can	can	AUX	MD	VerbForm=Fin	16	aux	_	_
16	show	show	VERB	VB	VerbForm=Inf	13	acl:relcl	_	_
17	,	,	PUNCT	,	_	18	punct	_	_
18	check	check	VERB	VB	Mood=Imp|VerbForm=Fin	12	conj	_	_
19	your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	20	nmod:poss	_	_
20	work	work	NOUN	NN	Number=Sing	18	obj	_	_
21	and	and	CCONJ	CC	_	22	cc	_	_
22	learn	learn	VERB	VB	Mood=Imp|VerbForm=Fin	18	conj	_	_
23	from	from	ADP	IN	_	24	case	_	_
24	tests	test	NOUN	NNS	Number=Plur	22	obl	_	_
25	.	.	PUNCT	.	_	4	punct	_	Agree=R6-punct-agree|Haiku=12: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 | **guess** | present | a language model | next words |  |  |  |  | vn conjecture-29.5-1 «NP V NP»: agent=Agent word=Theme |
| 2 | **follow** | present | you | rules |  |  |  |  | vn chase-51.6 «NP V NP»: agent=Agent rule=Theme |
| 3 | **show** | can | you | rules *not said here* |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent rule=Recipient |
| 4 | **check** | infinitive | you *not said here* | your work |  |  |  |  | vn assessment-34.1 «NP V NP»: agent=Agent work=Theme |
| 5 | **learn** | infinitive | you *not said here* |  |  | tests |  |  | vn learn-14-2-1 «NP V PP.source»: agent=Agent from test=Source |
| 6 | **work** |  | your |  |  |  |  |  | nom work «act intransitive»: poss=agent |

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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:029-who-you-are-being-wrong-and-learning.lesson:12`.

**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, R6-punct-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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